Add GitHub ML run 20260929T171221000000Z-c413c3e5
Browse files
.gitattributes
CHANGED
|
@@ -84,3 +84,4 @@ data/observations/2026/09/28/20260928T174651000000Z-778c6d7c.jsonl filter=lfs di
|
|
| 84 |
data/observations/2026/09/28/20260928T183308000000Z-7c10a585.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 85 |
data/observations/2026/09/28/20260928T185000000000Z-560e9da9.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 86 |
data/observations/2026/09/29/20260929T162550000000Z-ee206af2.jsonl filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 84 |
data/observations/2026/09/28/20260928T183308000000Z-7c10a585.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 85 |
data/observations/2026/09/28/20260928T185000000000Z-560e9da9.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 86 |
data/observations/2026/09/29/20260929T162550000000Z-ee206af2.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 87 |
+
data/observations/2026/09/29/20260929T171221000000Z-c413c3e5.jsonl filter=lfs diff=lfs merge=lfs -text
|
coverage/20260929T171221000000Z-c413c3e5.json
ADDED
|
@@ -0,0 +1,2812 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"complete_sweep": false,
|
| 3 |
+
"date_field": "created",
|
| 4 |
+
"end": "2026-09-24",
|
| 5 |
+
"mode": "historical-sample",
|
| 6 |
+
"queries": [
|
| 7 |
+
{
|
| 8 |
+
"coverage_gap": true,
|
| 9 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 10 |
+
"incomplete_results": false,
|
| 11 |
+
"pages_scanned": 1,
|
| 12 |
+
"query": "foundation model in:name,description,readme created:2025-01-01..2025-12-31",
|
| 13 |
+
"query_id": "recall.name.foundation-model",
|
| 14 |
+
"repositories_observed_on_last_page": 100,
|
| 15 |
+
"sampled_first_page": true,
|
| 16 |
+
"search_limit_reached": true,
|
| 17 |
+
"status": "sampled",
|
| 18 |
+
"total_count": 177113,
|
| 19 |
+
"year": 2025
|
| 20 |
+
},
|
| 21 |
+
{
|
| 22 |
+
"coverage_gap": false,
|
| 23 |
+
"coverage_gap_reason": null,
|
| 24 |
+
"incomplete_results": false,
|
| 25 |
+
"pages_scanned": 1,
|
| 26 |
+
"query": "\"preference-based reinforcement learning\" in:description created:2025-01-01..2025-12-31",
|
| 27 |
+
"query_id": "rl.preference",
|
| 28 |
+
"repositories_observed_on_last_page": 6,
|
| 29 |
+
"sampled_first_page": true,
|
| 30 |
+
"search_limit_reached": false,
|
| 31 |
+
"status": "complete",
|
| 32 |
+
"total_count": 6,
|
| 33 |
+
"year": 2025
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"coverage_gap": true,
|
| 37 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 38 |
+
"incomplete_results": false,
|
| 39 |
+
"pages_scanned": 1,
|
| 40 |
+
"query": "SLAM robotics in:description created:2025-01-01..2025-12-31",
|
| 41 |
+
"query_id": "robotics.slam",
|
| 42 |
+
"repositories_observed_on_last_page": 100,
|
| 43 |
+
"sampled_first_page": true,
|
| 44 |
+
"search_limit_reached": false,
|
| 45 |
+
"status": "sampled",
|
| 46 |
+
"total_count": 427,
|
| 47 |
+
"year": 2025
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"coverage_gap": false,
|
| 51 |
+
"coverage_gap_reason": null,
|
| 52 |
+
"incomplete_results": false,
|
| 53 |
+
"pages_scanned": 1,
|
| 54 |
+
"query": "\"quantum materials\" \"machine learning\" in:description,readme created:2025-01-01..2025-12-31",
|
| 55 |
+
"query_id": "science.quantum-materials",
|
| 56 |
+
"repositories_observed_on_last_page": 62,
|
| 57 |
+
"sampled_first_page": true,
|
| 58 |
+
"search_limit_reached": false,
|
| 59 |
+
"status": "complete",
|
| 60 |
+
"total_count": 62,
|
| 61 |
+
"year": 2025
|
| 62 |
+
},
|
| 63 |
+
{
|
| 64 |
+
"coverage_gap": true,
|
| 65 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 66 |
+
"incomplete_results": false,
|
| 67 |
+
"pages_scanned": 1,
|
| 68 |
+
"query": "\"time series generation\" in:description,readme created:2025-01-01..2025-12-31",
|
| 69 |
+
"query_id": "timeseries.synthetic-generation",
|
| 70 |
+
"repositories_observed_on_last_page": 100,
|
| 71 |
+
"sampled_first_page": true,
|
| 72 |
+
"search_limit_reached": false,
|
| 73 |
+
"status": "sampled",
|
| 74 |
+
"total_count": 329,
|
| 75 |
+
"year": 2025
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"coverage_gap": true,
|
| 79 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 80 |
+
"incomplete_results": false,
|
| 81 |
+
"pages_scanned": 1,
|
| 82 |
+
"query": "\"interpretable machine learning\" in:description created:2025-01-01..2025-12-31",
|
| 83 |
+
"query_id": "trust.interpretable-ml",
|
| 84 |
+
"repositories_observed_on_last_page": 100,
|
| 85 |
+
"sampled_first_page": true,
|
| 86 |
+
"search_limit_reached": false,
|
| 87 |
+
"status": "sampled",
|
| 88 |
+
"total_count": 260,
|
| 89 |
+
"year": 2025
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"coverage_gap": true,
|
| 93 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 94 |
+
"incomplete_results": false,
|
| 95 |
+
"pages_scanned": 1,
|
| 96 |
+
"query": "\"promptable segmentation\" in:readme created:2025-01-01..2025-12-31",
|
| 97 |
+
"query_id": "vision.promptable-segmentation",
|
| 98 |
+
"repositories_observed_on_last_page": 100,
|
| 99 |
+
"sampled_first_page": true,
|
| 100 |
+
"search_limit_reached": false,
|
| 101 |
+
"status": "sampled",
|
| 102 |
+
"total_count": 384,
|
| 103 |
+
"year": 2025
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"coverage_gap": true,
|
| 107 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 108 |
+
"incomplete_results": false,
|
| 109 |
+
"pages_scanned": 1,
|
| 110 |
+
"query": "\"inventory optimization\" in:readme created:2025-01-01..2025-12-31",
|
| 111 |
+
"query_id": "applied.inventory-optimization",
|
| 112 |
+
"repositories_observed_on_last_page": 100,
|
| 113 |
+
"sampled_first_page": true,
|
| 114 |
+
"search_limit_reached": true,
|
| 115 |
+
"status": "sampled",
|
| 116 |
+
"total_count": 5587,
|
| 117 |
+
"year": 2025
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"coverage_gap": false,
|
| 121 |
+
"coverage_gap_reason": null,
|
| 122 |
+
"incomplete_results": false,
|
| 123 |
+
"pages_scanned": 1,
|
| 124 |
+
"query": "\"RNA language model\" in:description created:2025-01-01..2025-12-31",
|
| 125 |
+
"query_id": "bio.rna-language-models",
|
| 126 |
+
"repositories_observed_on_last_page": 4,
|
| 127 |
+
"sampled_first_page": true,
|
| 128 |
+
"search_limit_reached": false,
|
| 129 |
+
"status": "complete",
|
| 130 |
+
"total_count": 4,
|
| 131 |
+
"year": 2025
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"coverage_gap": true,
|
| 135 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 136 |
+
"incomplete_results": false,
|
| 137 |
+
"pages_scanned": 1,
|
| 138 |
+
"query": "\"neural architecture search\" in:description created:2025-01-01..2025-12-31",
|
| 139 |
+
"query_id": "efficiency.neural-architecture-search",
|
| 140 |
+
"repositories_observed_on_last_page": 100,
|
| 141 |
+
"sampled_first_page": true,
|
| 142 |
+
"search_limit_reached": false,
|
| 143 |
+
"status": "sampled",
|
| 144 |
+
"total_count": 146,
|
| 145 |
+
"year": 2025
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"coverage_gap": false,
|
| 149 |
+
"coverage_gap_reason": null,
|
| 150 |
+
"incomplete_results": false,
|
| 151 |
+
"pages_scanned": 1,
|
| 152 |
+
"query": "\"learned optimizer\" optimization algorithm in:description,readme created:2025-01-01..2025-12-31",
|
| 153 |
+
"query_id": "gap2026.math-learned-optimization",
|
| 154 |
+
"repositories_observed_on_last_page": 90,
|
| 155 |
+
"sampled_first_page": true,
|
| 156 |
+
"search_limit_reached": false,
|
| 157 |
+
"status": "complete",
|
| 158 |
+
"total_count": 90,
|
| 159 |
+
"year": 2025
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"coverage_gap": true,
|
| 163 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 164 |
+
"incomplete_results": false,
|
| 165 |
+
"pages_scanned": 1,
|
| 166 |
+
"query": "\"machine learning\" in:description created:2025-01-01..2025-12-31",
|
| 167 |
+
"query_id": "general.machine-learning-description",
|
| 168 |
+
"repositories_observed_on_last_page": 100,
|
| 169 |
+
"sampled_first_page": true,
|
| 170 |
+
"search_limit_reached": true,
|
| 171 |
+
"status": "sampled",
|
| 172 |
+
"total_count": 182601,
|
| 173 |
+
"year": 2025
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"coverage_gap": true,
|
| 177 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 178 |
+
"incomplete_results": false,
|
| 179 |
+
"pages_scanned": 1,
|
| 180 |
+
"query": "\"satellite imagery\" in:readme created:2025-01-01..2025-12-31",
|
| 181 |
+
"query_id": "geo.satellite-imagery",
|
| 182 |
+
"repositories_observed_on_last_page": 100,
|
| 183 |
+
"sampled_first_page": true,
|
| 184 |
+
"search_limit_reached": true,
|
| 185 |
+
"status": "sampled",
|
| 186 |
+
"total_count": 11462,
|
| 187 |
+
"year": 2025
|
| 188 |
+
},
|
| 189 |
+
{
|
| 190 |
+
"coverage_gap": false,
|
| 191 |
+
"coverage_gap_reason": null,
|
| 192 |
+
"incomplete_results": false,
|
| 193 |
+
"pages_scanned": 1,
|
| 194 |
+
"query": "\"persistent homology\" in:description created:2025-01-01..2025-12-31",
|
| 195 |
+
"query_id": "graph.persistent-homology",
|
| 196 |
+
"repositories_observed_on_last_page": 91,
|
| 197 |
+
"sampled_first_page": true,
|
| 198 |
+
"search_limit_reached": false,
|
| 199 |
+
"status": "complete",
|
| 200 |
+
"total_count": 91,
|
| 201 |
+
"year": 2025
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"coverage_gap": true,
|
| 205 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 206 |
+
"incomplete_results": false,
|
| 207 |
+
"pages_scanned": 1,
|
| 208 |
+
"query": "\"synthetic data\" in:description created:2025-01-01..2025-12-31",
|
| 209 |
+
"query_id": "llm.synthetic-data",
|
| 210 |
+
"repositories_observed_on_last_page": 100,
|
| 211 |
+
"sampled_first_page": true,
|
| 212 |
+
"search_limit_reached": true,
|
| 213 |
+
"status": "sampled",
|
| 214 |
+
"total_count": 2644,
|
| 215 |
+
"year": 2025
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"coverage_gap": false,
|
| 219 |
+
"coverage_gap_reason": null,
|
| 220 |
+
"incomplete_results": false,
|
| 221 |
+
"pages_scanned": 1,
|
| 222 |
+
"query": "\"neuroimaging machine learning\" in:readme created:2025-01-01..2025-12-31",
|
| 223 |
+
"query_id": "medical.neuroimaging",
|
| 224 |
+
"repositories_observed_on_last_page": 8,
|
| 225 |
+
"sampled_first_page": true,
|
| 226 |
+
"search_limit_reached": false,
|
| 227 |
+
"status": "complete",
|
| 228 |
+
"total_count": 8,
|
| 229 |
+
"year": 2025
|
| 230 |
+
},
|
| 231 |
+
{
|
| 232 |
+
"coverage_gap": true,
|
| 233 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 234 |
+
"incomplete_results": false,
|
| 235 |
+
"pages_scanned": 1,
|
| 236 |
+
"query": "\"video question answering\" in:readme created:2025-01-01..2025-12-31",
|
| 237 |
+
"query_id": "multimodal.video-question-answering",
|
| 238 |
+
"repositories_observed_on_last_page": 100,
|
| 239 |
+
"sampled_first_page": true,
|
| 240 |
+
"search_limit_reached": false,
|
| 241 |
+
"status": "sampled",
|
| 242 |
+
"total_count": 334,
|
| 243 |
+
"year": 2025
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"coverage_gap": true,
|
| 247 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 248 |
+
"incomplete_results": false,
|
| 249 |
+
"pages_scanned": 1,
|
| 250 |
+
"query": "\"language model\" in:name,description,readme created:2025-01-01..2025-12-31",
|
| 251 |
+
"query_id": "recall.name.language-model",
|
| 252 |
+
"repositories_observed_on_last_page": 100,
|
| 253 |
+
"sampled_first_page": true,
|
| 254 |
+
"search_limit_reached": true,
|
| 255 |
+
"status": "sampled",
|
| 256 |
+
"total_count": 254917,
|
| 257 |
+
"year": 2025
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"coverage_gap": false,
|
| 261 |
+
"coverage_gap_reason": null,
|
| 262 |
+
"incomplete_results": false,
|
| 263 |
+
"pages_scanned": 1,
|
| 264 |
+
"query": "\"reinforcement learning from human feedback\" in:description created:2025-01-01..2025-12-31",
|
| 265 |
+
"query_id": "rl.reinforcement-learning-from-human-feedback",
|
| 266 |
+
"repositories_observed_on_last_page": 53,
|
| 267 |
+
"sampled_first_page": true,
|
| 268 |
+
"search_limit_reached": false,
|
| 269 |
+
"status": "complete",
|
| 270 |
+
"total_count": 53,
|
| 271 |
+
"year": 2025
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"coverage_gap": true,
|
| 275 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 276 |
+
"incomplete_results": false,
|
| 277 |
+
"pages_scanned": 1,
|
| 278 |
+
"query": "tactile robot learning in:description,readme created:2025-01-01..2025-12-31",
|
| 279 |
+
"query_id": "robotics.tactile-learning",
|
| 280 |
+
"repositories_observed_on_last_page": 100,
|
| 281 |
+
"sampled_first_page": true,
|
| 282 |
+
"search_limit_reached": false,
|
| 283 |
+
"status": "sampled",
|
| 284 |
+
"total_count": 585,
|
| 285 |
+
"year": 2025
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"coverage_gap": false,
|
| 289 |
+
"coverage_gap_reason": null,
|
| 290 |
+
"incomplete_results": false,
|
| 291 |
+
"pages_scanned": 1,
|
| 292 |
+
"query": "\"quantum many-body\" \"machine learning\" in:description,readme created:2025-01-01..2025-12-31",
|
| 293 |
+
"query_id": "science.quantum-physics",
|
| 294 |
+
"repositories_observed_on_last_page": 63,
|
| 295 |
+
"sampled_first_page": true,
|
| 296 |
+
"search_limit_reached": false,
|
| 297 |
+
"status": "complete",
|
| 298 |
+
"total_count": 63,
|
| 299 |
+
"year": 2025
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"coverage_gap": true,
|
| 303 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 304 |
+
"incomplete_results": false,
|
| 305 |
+
"pages_scanned": 1,
|
| 306 |
+
"query": "\"tabular foundation model\" in:description,readme created:2025-01-01..2025-12-31",
|
| 307 |
+
"query_id": "timeseries.tabular-foundation-models",
|
| 308 |
+
"repositories_observed_on_last_page": 100,
|
| 309 |
+
"sampled_first_page": true,
|
| 310 |
+
"search_limit_reached": false,
|
| 311 |
+
"status": "sampled",
|
| 312 |
+
"total_count": 169,
|
| 313 |
+
"year": 2025
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"coverage_gap": true,
|
| 317 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 318 |
+
"incomplete_results": false,
|
| 319 |
+
"pages_scanned": 1,
|
| 320 |
+
"query": "\"membership inference\" in:description created:2025-01-01..2025-12-31",
|
| 321 |
+
"query_id": "trust.membership-inference",
|
| 322 |
+
"repositories_observed_on_last_page": 100,
|
| 323 |
+
"sampled_first_page": true,
|
| 324 |
+
"search_limit_reached": false,
|
| 325 |
+
"status": "sampled",
|
| 326 |
+
"total_count": 119,
|
| 327 |
+
"year": 2025
|
| 328 |
+
},
|
| 329 |
+
{
|
| 330 |
+
"coverage_gap": true,
|
| 331 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 332 |
+
"incomplete_results": false,
|
| 333 |
+
"pages_scanned": 1,
|
| 334 |
+
"query": "\"image segmentation\" in:description created:2025-01-01..2025-12-31",
|
| 335 |
+
"query_id": "vision.segmentation",
|
| 336 |
+
"repositories_observed_on_last_page": 100,
|
| 337 |
+
"sampled_first_page": true,
|
| 338 |
+
"search_limit_reached": true,
|
| 339 |
+
"status": "sampled",
|
| 340 |
+
"total_count": 2282,
|
| 341 |
+
"year": 2025
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"coverage_gap": false,
|
| 345 |
+
"coverage_gap_reason": null,
|
| 346 |
+
"incomplete_results": false,
|
| 347 |
+
"pages_scanned": 1,
|
| 348 |
+
"query": "\"learning to rank\" in:description created:2025-01-01..2025-12-31",
|
| 349 |
+
"query_id": "applied.learning-to-rank",
|
| 350 |
+
"repositories_observed_on_last_page": 63,
|
| 351 |
+
"sampled_first_page": true,
|
| 352 |
+
"search_limit_reached": false,
|
| 353 |
+
"status": "complete",
|
| 354 |
+
"total_count": 63,
|
| 355 |
+
"year": 2025
|
| 356 |
+
},
|
| 357 |
+
{
|
| 358 |
+
"coverage_gap": false,
|
| 359 |
+
"coverage_gap_reason": null,
|
| 360 |
+
"incomplete_results": false,
|
| 361 |
+
"pages_scanned": 1,
|
| 362 |
+
"query": "\"RNA structure prediction\" in:description,readme created:2025-01-01..2025-12-31",
|
| 363 |
+
"query_id": "bio.rna-structure",
|
| 364 |
+
"repositories_observed_on_last_page": 99,
|
| 365 |
+
"sampled_first_page": true,
|
| 366 |
+
"search_limit_reached": false,
|
| 367 |
+
"status": "complete",
|
| 368 |
+
"total_count": 99,
|
| 369 |
+
"year": 2025
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"coverage_gap": false,
|
| 373 |
+
"coverage_gap_reason": null,
|
| 374 |
+
"incomplete_results": false,
|
| 375 |
+
"pages_scanned": 1,
|
| 376 |
+
"query": "\"optimizer state sharding\" in:description created:2025-01-01..2025-12-31",
|
| 377 |
+
"query_id": "efficiency.optimizer-state-sharding",
|
| 378 |
+
"repositories_observed_on_last_page": 2,
|
| 379 |
+
"sampled_first_page": true,
|
| 380 |
+
"search_limit_reached": false,
|
| 381 |
+
"status": "complete",
|
| 382 |
+
"total_count": 2,
|
| 383 |
+
"year": 2025
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"coverage_gap": false,
|
| 387 |
+
"coverage_gap_reason": null,
|
| 388 |
+
"incomplete_results": false,
|
| 389 |
+
"pages_scanned": 1,
|
| 390 |
+
"query": "\"neural combinatorial optimization\" in:description,readme created:2025-01-01..2025-12-31",
|
| 391 |
+
"query_id": "gap2026.math-neural-combinatorial-optimization",
|
| 392 |
+
"repositories_observed_on_last_page": 64,
|
| 393 |
+
"sampled_first_page": true,
|
| 394 |
+
"search_limit_reached": false,
|
| 395 |
+
"status": "complete",
|
| 396 |
+
"total_count": 64,
|
| 397 |
+
"year": 2025
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"coverage_gap": true,
|
| 401 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 402 |
+
"incomplete_results": false,
|
| 403 |
+
"pages_scanned": 1,
|
| 404 |
+
"query": "\"machine learning\" in:readme created:2025-01-01..2025-12-31",
|
| 405 |
+
"query_id": "general.machine-learning-readme",
|
| 406 |
+
"repositories_observed_on_last_page": 100,
|
| 407 |
+
"sampled_first_page": true,
|
| 408 |
+
"search_limit_reached": true,
|
| 409 |
+
"status": "sampled",
|
| 410 |
+
"total_count": 878610,
|
| 411 |
+
"year": 2025
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"coverage_gap": true,
|
| 415 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 416 |
+
"incomplete_results": false,
|
| 417 |
+
"pages_scanned": 1,
|
| 418 |
+
"query": "topic:earth-observation created:2025-01-01..2025-12-31",
|
| 419 |
+
"query_id": "geo.topic-earth-observation",
|
| 420 |
+
"repositories_observed_on_last_page": 100,
|
| 421 |
+
"sampled_first_page": true,
|
| 422 |
+
"search_limit_reached": false,
|
| 423 |
+
"status": "sampled",
|
| 424 |
+
"total_count": 184,
|
| 425 |
+
"year": 2025
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"coverage_gap": false,
|
| 429 |
+
"coverage_gap_reason": null,
|
| 430 |
+
"incomplete_results": false,
|
| 431 |
+
"pages_scanned": 1,
|
| 432 |
+
"query": "\"point cloud deep learning\" in:description created:2025-01-01..2025-12-31",
|
| 433 |
+
"query_id": "graph.point-cloud-learning",
|
| 434 |
+
"repositories_observed_on_last_page": 0,
|
| 435 |
+
"sampled_first_page": true,
|
| 436 |
+
"search_limit_reached": false,
|
| 437 |
+
"status": "complete",
|
| 438 |
+
"total_count": 0,
|
| 439 |
+
"year": 2025
|
| 440 |
+
},
|
| 441 |
+
{
|
| 442 |
+
"coverage_gap": true,
|
| 443 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 444 |
+
"incomplete_results": false,
|
| 445 |
+
"pages_scanned": 1,
|
| 446 |
+
"query": "\"synthetic data generation\" in:description created:2025-01-01..2025-12-31",
|
| 447 |
+
"query_id": "llm.synthetic-data-generation",
|
| 448 |
+
"repositories_observed_on_last_page": 100,
|
| 449 |
+
"sampled_first_page": true,
|
| 450 |
+
"search_limit_reached": false,
|
| 451 |
+
"status": "sampled",
|
| 452 |
+
"total_count": 656,
|
| 453 |
+
"year": 2025
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"coverage_gap": true,
|
| 457 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 458 |
+
"incomplete_results": false,
|
| 459 |
+
"pages_scanned": 1,
|
| 460 |
+
"query": "ophthalmology AI retinal in:description,readme created:2025-01-01..2025-12-31",
|
| 461 |
+
"query_id": "medical.ophthalmology",
|
| 462 |
+
"repositories_observed_on_last_page": 100,
|
| 463 |
+
"sampled_first_page": true,
|
| 464 |
+
"search_limit_reached": false,
|
| 465 |
+
"status": "sampled",
|
| 466 |
+
"total_count": 184,
|
| 467 |
+
"year": 2025
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"coverage_gap": false,
|
| 471 |
+
"coverage_gap_reason": null,
|
| 472 |
+
"incomplete_results": false,
|
| 473 |
+
"pages_scanned": 1,
|
| 474 |
+
"query": "\"video-language\" in:description created:2025-01-01..2025-12-31",
|
| 475 |
+
"query_id": "multimodal.video-understanding",
|
| 476 |
+
"repositories_observed_on_last_page": 63,
|
| 477 |
+
"sampled_first_page": true,
|
| 478 |
+
"search_limit_reached": false,
|
| 479 |
+
"status": "complete",
|
| 480 |
+
"total_count": 63,
|
| 481 |
+
"year": 2025
|
| 482 |
+
},
|
| 483 |
+
{
|
| 484 |
+
"coverage_gap": true,
|
| 485 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 486 |
+
"incomplete_results": false,
|
| 487 |
+
"pages_scanned": 1,
|
| 488 |
+
"query": "\"large language model\" in:name,description,readme created:2025-01-01..2025-12-31",
|
| 489 |
+
"query_id": "recall.name.large-language-model",
|
| 490 |
+
"repositories_observed_on_last_page": 100,
|
| 491 |
+
"sampled_first_page": true,
|
| 492 |
+
"search_limit_reached": true,
|
| 493 |
+
"status": "sampled",
|
| 494 |
+
"total_count": 135358,
|
| 495 |
+
"year": 2025
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"coverage_gap": false,
|
| 499 |
+
"coverage_gap_reason": null,
|
| 500 |
+
"incomplete_results": false,
|
| 501 |
+
"pages_scanned": 1,
|
| 502 |
+
"query": "\"safe reinforcement learning\" in:description created:2025-01-01..2025-12-31",
|
| 503 |
+
"query_id": "rl.safe",
|
| 504 |
+
"repositories_observed_on_last_page": 34,
|
| 505 |
+
"sampled_first_page": true,
|
| 506 |
+
"search_limit_reached": false,
|
| 507 |
+
"status": "complete",
|
| 508 |
+
"total_count": 34,
|
| 509 |
+
"year": 2025
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"coverage_gap": true,
|
| 513 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 514 |
+
"incomplete_results": false,
|
| 515 |
+
"pages_scanned": 1,
|
| 516 |
+
"query": "robot teleoperation learning in:description,readme created:2025-01-01..2025-12-31",
|
| 517 |
+
"query_id": "robotics.teleoperation",
|
| 518 |
+
"repositories_observed_on_last_page": 100,
|
| 519 |
+
"sampled_first_page": true,
|
| 520 |
+
"search_limit_reached": false,
|
| 521 |
+
"status": "sampled",
|
| 522 |
+
"total_count": 993,
|
| 523 |
+
"year": 2025
|
| 524 |
+
},
|
| 525 |
+
{
|
| 526 |
+
"coverage_gap": true,
|
| 527 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 528 |
+
"incomplete_results": false,
|
| 529 |
+
"pages_scanned": 1,
|
| 530 |
+
"query": "\"remote sensing\" in:description created:2025-01-01..2025-12-31",
|
| 531 |
+
"query_id": "science.remote-sensing",
|
| 532 |
+
"repositories_observed_on_last_page": 100,
|
| 533 |
+
"sampled_first_page": true,
|
| 534 |
+
"search_limit_reached": true,
|
| 535 |
+
"status": "sampled",
|
| 536 |
+
"total_count": 1888,
|
| 537 |
+
"year": 2025
|
| 538 |
+
},
|
| 539 |
+
{
|
| 540 |
+
"coverage_gap": true,
|
| 541 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 542 |
+
"incomplete_results": false,
|
| 543 |
+
"pages_scanned": 1,
|
| 544 |
+
"query": "\"temporal fusion transformer\" in:description created:2025-01-01..2025-12-31",
|
| 545 |
+
"query_id": "timeseries.temporal-fusion-transformer",
|
| 546 |
+
"repositories_observed_on_last_page": 100,
|
| 547 |
+
"sampled_first_page": true,
|
| 548 |
+
"search_limit_reached": false,
|
| 549 |
+
"status": "sampled",
|
| 550 |
+
"total_count": 101,
|
| 551 |
+
"year": 2025
|
| 552 |
+
},
|
| 553 |
+
{
|
| 554 |
+
"coverage_gap": false,
|
| 555 |
+
"coverage_gap_reason": null,
|
| 556 |
+
"incomplete_results": false,
|
| 557 |
+
"pages_scanned": 1,
|
| 558 |
+
"query": "\"machine learning fairness\" in:description created:2025-01-01..2025-12-31",
|
| 559 |
+
"query_id": "trust.ml-fairness",
|
| 560 |
+
"repositories_observed_on_last_page": 7,
|
| 561 |
+
"sampled_first_page": true,
|
| 562 |
+
"search_limit_reached": false,
|
| 563 |
+
"status": "complete",
|
| 564 |
+
"total_count": 7,
|
| 565 |
+
"year": 2025
|
| 566 |
+
},
|
| 567 |
+
{
|
| 568 |
+
"coverage_gap": false,
|
| 569 |
+
"coverage_gap_reason": null,
|
| 570 |
+
"incomplete_results": false,
|
| 571 |
+
"pages_scanned": 1,
|
| 572 |
+
"query": "\"self-supervised vision\" in:description created:2025-01-01..2025-12-31",
|
| 573 |
+
"query_id": "vision.self-supervised-vision",
|
| 574 |
+
"repositories_observed_on_last_page": 19,
|
| 575 |
+
"sampled_first_page": true,
|
| 576 |
+
"search_limit_reached": false,
|
| 577 |
+
"status": "complete",
|
| 578 |
+
"total_count": 19,
|
| 579 |
+
"year": 2025
|
| 580 |
+
},
|
| 581 |
+
{
|
| 582 |
+
"coverage_gap": true,
|
| 583 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 584 |
+
"incomplete_results": false,
|
| 585 |
+
"pages_scanned": 1,
|
| 586 |
+
"query": "\"malware detection\" \"machine learning\" in:description,readme created:2025-01-01..2025-12-31",
|
| 587 |
+
"query_id": "applied.malware-detection",
|
| 588 |
+
"repositories_observed_on_last_page": 100,
|
| 589 |
+
"sampled_first_page": true,
|
| 590 |
+
"search_limit_reached": true,
|
| 591 |
+
"status": "sampled",
|
| 592 |
+
"total_count": 2046,
|
| 593 |
+
"year": 2025
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"coverage_gap": true,
|
| 597 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 598 |
+
"incomplete_results": false,
|
| 599 |
+
"pages_scanned": 1,
|
| 600 |
+
"query": "\"scRNA-seq\" in:readme created:2025-01-01..2025-12-31",
|
| 601 |
+
"query_id": "bio.scrna-seq",
|
| 602 |
+
"repositories_observed_on_last_page": 100,
|
| 603 |
+
"sampled_first_page": true,
|
| 604 |
+
"search_limit_reached": true,
|
| 605 |
+
"status": "sampled",
|
| 606 |
+
"total_count": 3123,
|
| 607 |
+
"year": 2025
|
| 608 |
+
},
|
| 609 |
+
{
|
| 610 |
+
"coverage_gap": true,
|
| 611 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 612 |
+
"incomplete_results": false,
|
| 613 |
+
"pages_scanned": 1,
|
| 614 |
+
"query": "\"parameter-efficient fine-tuning\" in:description created:2025-01-01..2025-12-31",
|
| 615 |
+
"query_id": "efficiency.parameter-efficient-finetuning",
|
| 616 |
+
"repositories_observed_on_last_page": 100,
|
| 617 |
+
"sampled_first_page": true,
|
| 618 |
+
"search_limit_reached": false,
|
| 619 |
+
"status": "sampled",
|
| 620 |
+
"total_count": 318,
|
| 621 |
+
"year": 2025
|
| 622 |
+
},
|
| 623 |
+
{
|
| 624 |
+
"coverage_gap": false,
|
| 625 |
+
"coverage_gap_reason": null,
|
| 626 |
+
"incomplete_results": false,
|
| 627 |
+
"pages_scanned": 1,
|
| 628 |
+
"query": "\"connectome prediction\" machine learning in:description,readme created:2025-01-01..2025-12-31",
|
| 629 |
+
"query_id": "gap2026.neuroimaging-connectome",
|
| 630 |
+
"repositories_observed_on_last_page": 0,
|
| 631 |
+
"sampled_first_page": true,
|
| 632 |
+
"search_limit_reached": false,
|
| 633 |
+
"status": "complete",
|
| 634 |
+
"total_count": 0,
|
| 635 |
+
"year": 2025
|
| 636 |
+
},
|
| 637 |
+
{
|
| 638 |
+
"coverage_gap": true,
|
| 639 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 640 |
+
"incomplete_results": false,
|
| 641 |
+
"pages_scanned": 1,
|
| 642 |
+
"query": "\"matrix factorization\" \"machine learning\" in:description,readme created:2025-01-01..2025-12-31",
|
| 643 |
+
"query_id": "general.matrix-factorization",
|
| 644 |
+
"repositories_observed_on_last_page": 100,
|
| 645 |
+
"sampled_first_page": true,
|
| 646 |
+
"search_limit_reached": true,
|
| 647 |
+
"status": "sampled",
|
| 648 |
+
"total_count": 2749,
|
| 649 |
+
"year": 2025
|
| 650 |
+
},
|
| 651 |
+
{
|
| 652 |
+
"coverage_gap": true,
|
| 653 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 654 |
+
"incomplete_results": false,
|
| 655 |
+
"pages_scanned": 1,
|
| 656 |
+
"query": "topic:geospatial created:2025-01-01..2025-12-31",
|
| 657 |
+
"query_id": "geo.topic-geospatial",
|
| 658 |
+
"repositories_observed_on_last_page": 100,
|
| 659 |
+
"sampled_first_page": true,
|
| 660 |
+
"search_limit_reached": true,
|
| 661 |
+
"status": "sampled",
|
| 662 |
+
"total_count": 1015,
|
| 663 |
+
"year": 2025
|
| 664 |
+
},
|
| 665 |
+
{
|
| 666 |
+
"coverage_gap": true,
|
| 667 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 668 |
+
"incomplete_results": false,
|
| 669 |
+
"pages_scanned": 1,
|
| 670 |
+
"query": "topic:point-cloud created:2025-01-01..2025-12-31",
|
| 671 |
+
"query_id": "graph.point-clouds",
|
| 672 |
+
"repositories_observed_on_last_page": 100,
|
| 673 |
+
"sampled_first_page": true,
|
| 674 |
+
"search_limit_reached": false,
|
| 675 |
+
"status": "sampled",
|
| 676 |
+
"total_count": 219,
|
| 677 |
+
"year": 2025
|
| 678 |
+
},
|
| 679 |
+
{
|
| 680 |
+
"coverage_gap": true,
|
| 681 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 682 |
+
"incomplete_results": false,
|
| 683 |
+
"pages_scanned": 1,
|
| 684 |
+
"query": "\"test-time compute\" \"language model\" in:readme created:2025-01-01..2025-12-31",
|
| 685 |
+
"query_id": "llm.test-time-compute",
|
| 686 |
+
"repositories_observed_on_last_page": 100,
|
| 687 |
+
"sampled_first_page": true,
|
| 688 |
+
"search_limit_reached": false,
|
| 689 |
+
"status": "sampled",
|
| 690 |
+
"total_count": 346,
|
| 691 |
+
"year": 2025
|
| 692 |
+
},
|
| 693 |
+
{
|
| 694 |
+
"coverage_gap": false,
|
| 695 |
+
"coverage_gap_reason": null,
|
| 696 |
+
"incomplete_results": false,
|
| 697 |
+
"pages_scanned": 1,
|
| 698 |
+
"query": "\"computational pathology\" in:description created:2025-01-01..2025-12-31",
|
| 699 |
+
"query_id": "medical.pathology",
|
| 700 |
+
"repositories_observed_on_last_page": 29,
|
| 701 |
+
"sampled_first_page": true,
|
| 702 |
+
"search_limit_reached": false,
|
| 703 |
+
"status": "complete",
|
| 704 |
+
"total_count": 29,
|
| 705 |
+
"year": 2025
|
| 706 |
+
},
|
| 707 |
+
{
|
| 708 |
+
"coverage_gap": true,
|
| 709 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 710 |
+
"incomplete_results": false,
|
| 711 |
+
"pages_scanned": 1,
|
| 712 |
+
"query": "\"vision-language\" in:description created:2025-01-01..2025-12-31",
|
| 713 |
+
"query_id": "multimodal.vision-language",
|
| 714 |
+
"repositories_observed_on_last_page": 100,
|
| 715 |
+
"sampled_first_page": true,
|
| 716 |
+
"search_limit_reached": true,
|
| 717 |
+
"status": "sampled",
|
| 718 |
+
"total_count": 2361,
|
| 719 |
+
"year": 2025
|
| 720 |
+
},
|
| 721 |
+
{
|
| 722 |
+
"coverage_gap": true,
|
| 723 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 724 |
+
"incomplete_results": false,
|
| 725 |
+
"pages_scanned": 1,
|
| 726 |
+
"query": "\"machine learning\" in:name,description,readme created:2025-01-01..2025-12-31",
|
| 727 |
+
"query_id": "recall.name.machine-learning",
|
| 728 |
+
"repositories_observed_on_last_page": 100,
|
| 729 |
+
"sampled_first_page": true,
|
| 730 |
+
"search_limit_reached": true,
|
| 731 |
+
"status": "sampled",
|
| 732 |
+
"total_count": 963578,
|
| 733 |
+
"year": 2025
|
| 734 |
+
},
|
| 735 |
+
{
|
| 736 |
+
"coverage_gap": true,
|
| 737 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 738 |
+
"incomplete_results": false,
|
| 739 |
+
"pages_scanned": 1,
|
| 740 |
+
"query": "\"soft actor-critic\" in:description created:2025-01-01..2025-12-31",
|
| 741 |
+
"query_id": "rl.soft-actor-critic",
|
| 742 |
+
"repositories_observed_on_last_page": 100,
|
| 743 |
+
"sampled_first_page": true,
|
| 744 |
+
"search_limit_reached": false,
|
| 745 |
+
"status": "sampled",
|
| 746 |
+
"total_count": 113,
|
| 747 |
+
"year": 2025
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"coverage_gap": true,
|
| 751 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 752 |
+
"incomplete_results": false,
|
| 753 |
+
"pages_scanned": 1,
|
| 754 |
+
"query": "\"vision-language-action\" in:description created:2025-01-01..2025-12-31",
|
| 755 |
+
"query_id": "robotics.visual-language-action",
|
| 756 |
+
"repositories_observed_on_last_page": 100,
|
| 757 |
+
"sampled_first_page": true,
|
| 758 |
+
"search_limit_reached": false,
|
| 759 |
+
"status": "sampled",
|
| 760 |
+
"total_count": 229,
|
| 761 |
+
"year": 2025
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"coverage_gap": true,
|
| 765 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 766 |
+
"incomplete_results": false,
|
| 767 |
+
"pages_scanned": 1,
|
| 768 |
+
"query": "\"scientific machine learning\" in:readme created:2025-01-01..2025-12-31",
|
| 769 |
+
"query_id": "science.scientific-machine-learning",
|
| 770 |
+
"repositories_observed_on_last_page": 100,
|
| 771 |
+
"sampled_first_page": true,
|
| 772 |
+
"search_limit_reached": false,
|
| 773 |
+
"status": "sampled",
|
| 774 |
+
"total_count": 549,
|
| 775 |
+
"year": 2025
|
| 776 |
+
},
|
| 777 |
+
{
|
| 778 |
+
"coverage_gap": false,
|
| 779 |
+
"coverage_gap_reason": null,
|
| 780 |
+
"incomplete_results": false,
|
| 781 |
+
"pages_scanned": 1,
|
| 782 |
+
"query": "\"temporal representation learning\" in:readme created:2025-01-01..2025-12-31",
|
| 783 |
+
"query_id": "timeseries.temporal-representation",
|
| 784 |
+
"repositories_observed_on_last_page": 64,
|
| 785 |
+
"sampled_first_page": true,
|
| 786 |
+
"search_limit_reached": false,
|
| 787 |
+
"status": "complete",
|
| 788 |
+
"total_count": 64,
|
| 789 |
+
"year": 2025
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"coverage_gap": false,
|
| 793 |
+
"coverage_gap_reason": null,
|
| 794 |
+
"incomplete_results": false,
|
| 795 |
+
"pages_scanned": 1,
|
| 796 |
+
"query": "\"model calibration\" in:description created:2025-01-01..2025-12-31",
|
| 797 |
+
"query_id": "trust.model-calibration",
|
| 798 |
+
"repositories_observed_on_last_page": 92,
|
| 799 |
+
"sampled_first_page": true,
|
| 800 |
+
"search_limit_reached": false,
|
| 801 |
+
"status": "complete",
|
| 802 |
+
"total_count": 92,
|
| 803 |
+
"year": 2025
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"coverage_gap": true,
|
| 807 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 808 |
+
"incomplete_results": false,
|
| 809 |
+
"pages_scanned": 1,
|
| 810 |
+
"query": "topic:computer-vision created:2025-01-01..2025-12-31",
|
| 811 |
+
"query_id": "vision.topic-computer-vision",
|
| 812 |
+
"repositories_observed_on_last_page": 100,
|
| 813 |
+
"sampled_first_page": true,
|
| 814 |
+
"search_limit_reached": true,
|
| 815 |
+
"status": "sampled",
|
| 816 |
+
"total_count": 10176,
|
| 817 |
+
"year": 2025
|
| 818 |
+
},
|
| 819 |
+
{
|
| 820 |
+
"coverage_gap": false,
|
| 821 |
+
"coverage_gap_reason": null,
|
| 822 |
+
"incomplete_results": false,
|
| 823 |
+
"pages_scanned": 1,
|
| 824 |
+
"query": "\"machine learning econometrics\" in:readme created:2025-01-01..2025-12-31",
|
| 825 |
+
"query_id": "applied.ml-econometrics",
|
| 826 |
+
"repositories_observed_on_last_page": 45,
|
| 827 |
+
"sampled_first_page": true,
|
| 828 |
+
"search_limit_reached": false,
|
| 829 |
+
"status": "complete",
|
| 830 |
+
"total_count": 45,
|
| 831 |
+
"year": 2025
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"coverage_gap": true,
|
| 835 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 836 |
+
"incomplete_results": false,
|
| 837 |
+
"pages_scanned": 1,
|
| 838 |
+
"query": "\"single-cell\" in:description created:2025-01-01..2025-12-31",
|
| 839 |
+
"query_id": "bio.single-cell",
|
| 840 |
+
"repositories_observed_on_last_page": 100,
|
| 841 |
+
"sampled_first_page": true,
|
| 842 |
+
"search_limit_reached": true,
|
| 843 |
+
"status": "sampled",
|
| 844 |
+
"total_count": 2251,
|
| 845 |
+
"year": 2025
|
| 846 |
+
},
|
| 847 |
+
{
|
| 848 |
+
"coverage_gap": false,
|
| 849 |
+
"coverage_gap_reason": null,
|
| 850 |
+
"incomplete_results": false,
|
| 851 |
+
"pages_scanned": 1,
|
| 852 |
+
"query": "\"post-training quantization\" in:description created:2025-01-01..2025-12-31",
|
| 853 |
+
"query_id": "efficiency.post-training-quantization",
|
| 854 |
+
"repositories_observed_on_last_page": 54,
|
| 855 |
+
"sampled_first_page": true,
|
| 856 |
+
"search_limit_reached": false,
|
| 857 |
+
"status": "complete",
|
| 858 |
+
"total_count": 54,
|
| 859 |
+
"year": 2025
|
| 860 |
+
},
|
| 861 |
+
{
|
| 862 |
+
"coverage_gap": true,
|
| 863 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 864 |
+
"incomplete_results": false,
|
| 865 |
+
"pages_scanned": 1,
|
| 866 |
+
"query": "\"EEG deep learning\" in:description,readme created:2025-01-01..2025-12-31",
|
| 867 |
+
"query_id": "gap2026.neuroimaging-eeg",
|
| 868 |
+
"repositories_observed_on_last_page": 34,
|
| 869 |
+
"sampled_first_page": true,
|
| 870 |
+
"search_limit_reached": false,
|
| 871 |
+
"status": "sampled",
|
| 872 |
+
"total_count": 35,
|
| 873 |
+
"year": 2025
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"coverage_gap": true,
|
| 877 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 878 |
+
"incomplete_results": false,
|
| 879 |
+
"pages_scanned": 1,
|
| 880 |
+
"query": "\"meta-learning\" in:description,readme created:2025-01-01..2025-12-31",
|
| 881 |
+
"query_id": "general.meta-learning",
|
| 882 |
+
"repositories_observed_on_last_page": 100,
|
| 883 |
+
"sampled_first_page": true,
|
| 884 |
+
"search_limit_reached": true,
|
| 885 |
+
"status": "sampled",
|
| 886 |
+
"total_count": 4023,
|
| 887 |
+
"year": 2025
|
| 888 |
+
},
|
| 889 |
+
{
|
| 890 |
+
"coverage_gap": true,
|
| 891 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 892 |
+
"incomplete_results": false,
|
| 893 |
+
"pages_scanned": 1,
|
| 894 |
+
"query": "topic:gis created:2025-01-01..2025-12-31",
|
| 895 |
+
"query_id": "geo.topic-gis",
|
| 896 |
+
"repositories_observed_on_last_page": 100,
|
| 897 |
+
"sampled_first_page": true,
|
| 898 |
+
"search_limit_reached": false,
|
| 899 |
+
"status": "sampled",
|
| 900 |
+
"total_count": 988,
|
| 901 |
+
"year": 2025
|
| 902 |
+
},
|
| 903 |
+
{
|
| 904 |
+
"coverage_gap": true,
|
| 905 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 906 |
+
"incomplete_results": false,
|
| 907 |
+
"pages_scanned": 1,
|
| 908 |
+
"query": "\"graph representation learning\" in:readme created:2025-01-01..2025-12-31",
|
| 909 |
+
"query_id": "graph.representation-learning",
|
| 910 |
+
"repositories_observed_on_last_page": 100,
|
| 911 |
+
"sampled_first_page": true,
|
| 912 |
+
"search_limit_reached": false,
|
| 913 |
+
"status": "sampled",
|
| 914 |
+
"total_count": 605,
|
| 915 |
+
"year": 2025
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"coverage_gap": true,
|
| 919 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 920 |
+
"incomplete_results": false,
|
| 921 |
+
"pages_scanned": 1,
|
| 922 |
+
"query": "\"transformer\" in:description created:2025-01-01..2025-12-31",
|
| 923 |
+
"query_id": "llm.transformers",
|
| 924 |
+
"repositories_observed_on_last_page": 100,
|
| 925 |
+
"sampled_first_page": true,
|
| 926 |
+
"search_limit_reached": true,
|
| 927 |
+
"status": "sampled",
|
| 928 |
+
"total_count": 24745,
|
| 929 |
+
"year": 2025
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"coverage_gap": true,
|
| 933 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 934 |
+
"incomplete_results": false,
|
| 935 |
+
"pages_scanned": 1,
|
| 936 |
+
"query": "\"pathology foundation model\" in:description,readme created:2025-01-01..2025-12-31",
|
| 937 |
+
"query_id": "medical.pathology-foundation-model",
|
| 938 |
+
"repositories_observed_on_last_page": 100,
|
| 939 |
+
"sampled_first_page": true,
|
| 940 |
+
"search_limit_reached": false,
|
| 941 |
+
"status": "sampled",
|
| 942 |
+
"total_count": 188,
|
| 943 |
+
"year": 2025
|
| 944 |
+
},
|
| 945 |
+
{
|
| 946 |
+
"coverage_gap": true,
|
| 947 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 948 |
+
"incomplete_results": false,
|
| 949 |
+
"pages_scanned": 1,
|
| 950 |
+
"query": "\"visual question answering\" in:description created:2025-01-01..2025-12-31",
|
| 951 |
+
"query_id": "multimodal.visual-question-answering",
|
| 952 |
+
"repositories_observed_on_last_page": 100,
|
| 953 |
+
"sampled_first_page": true,
|
| 954 |
+
"search_limit_reached": false,
|
| 955 |
+
"status": "sampled",
|
| 956 |
+
"total_count": 317,
|
| 957 |
+
"year": 2025
|
| 958 |
+
},
|
| 959 |
+
{
|
| 960 |
+
"coverage_gap": true,
|
| 961 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 962 |
+
"incomplete_results": false,
|
| 963 |
+
"pages_scanned": 1,
|
| 964 |
+
"query": "multimodal model in:name,description,readme created:2025-01-01..2025-12-31",
|
| 965 |
+
"query_id": "recall.name.multimodal-model",
|
| 966 |
+
"repositories_observed_on_last_page": 100,
|
| 967 |
+
"sampled_first_page": true,
|
| 968 |
+
"search_limit_reached": true,
|
| 969 |
+
"status": "sampled",
|
| 970 |
+
"total_count": 59931,
|
| 971 |
+
"year": 2025
|
| 972 |
+
},
|
| 973 |
+
{
|
| 974 |
+
"coverage_gap": false,
|
| 975 |
+
"coverage_gap_reason": null,
|
| 976 |
+
"incomplete_results": false,
|
| 977 |
+
"pages_scanned": 1,
|
| 978 |
+
"query": "\"visuomotor policy\" in:description created:2025-01-01..2025-12-31",
|
| 979 |
+
"query_id": "robotics.visuomotor-policy",
|
| 980 |
+
"repositories_observed_on_last_page": 28,
|
| 981 |
+
"sampled_first_page": true,
|
| 982 |
+
"search_limit_reached": false,
|
| 983 |
+
"status": "complete",
|
| 984 |
+
"total_count": 28,
|
| 985 |
+
"year": 2025
|
| 986 |
+
},
|
| 987 |
+
{
|
| 988 |
+
"coverage_gap": true,
|
| 989 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 990 |
+
"incomplete_results": false,
|
| 991 |
+
"pages_scanned": 1,
|
| 992 |
+
"query": "\"seismic data\" \"machine learning\" in:description,readme created:2025-01-01..2025-12-31",
|
| 993 |
+
"query_id": "science.seismic",
|
| 994 |
+
"repositories_observed_on_last_page": 100,
|
| 995 |
+
"sampled_first_page": true,
|
| 996 |
+
"search_limit_reached": false,
|
| 997 |
+
"status": "sampled",
|
| 998 |
+
"total_count": 474,
|
| 999 |
+
"year": 2025
|
| 1000 |
+
},
|
| 1001 |
+
{
|
| 1002 |
+
"coverage_gap": true,
|
| 1003 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1004 |
+
"incomplete_results": false,
|
| 1005 |
+
"pages_scanned": 1,
|
| 1006 |
+
"query": "topic:time-series created:2025-01-01..2025-12-31",
|
| 1007 |
+
"query_id": "timeseries.topic",
|
| 1008 |
+
"repositories_observed_on_last_page": 100,
|
| 1009 |
+
"sampled_first_page": true,
|
| 1010 |
+
"search_limit_reached": true,
|
| 1011 |
+
"status": "sampled",
|
| 1012 |
+
"total_count": 1988,
|
| 1013 |
+
"year": 2025
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"coverage_gap": true,
|
| 1017 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1018 |
+
"incomplete_results": false,
|
| 1019 |
+
"pages_scanned": 1,
|
| 1020 |
+
"query": "\"neuro-symbolic\" in:description created:2025-01-01..2025-12-31",
|
| 1021 |
+
"query_id": "trust.neuro-symbolic",
|
| 1022 |
+
"repositories_observed_on_last_page": 100,
|
| 1023 |
+
"sampled_first_page": true,
|
| 1024 |
+
"search_limit_reached": false,
|
| 1025 |
+
"status": "sampled",
|
| 1026 |
+
"total_count": 279,
|
| 1027 |
+
"year": 2025
|
| 1028 |
+
},
|
| 1029 |
+
{
|
| 1030 |
+
"coverage_gap": true,
|
| 1031 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1032 |
+
"incomplete_results": false,
|
| 1033 |
+
"pages_scanned": 1,
|
| 1034 |
+
"query": "\"video generation\" in:readme created:2025-01-01..2025-12-31",
|
| 1035 |
+
"query_id": "vision.video-generation",
|
| 1036 |
+
"repositories_observed_on_last_page": 100,
|
| 1037 |
+
"sampled_first_page": true,
|
| 1038 |
+
"search_limit_reached": true,
|
| 1039 |
+
"status": "sampled",
|
| 1040 |
+
"total_count": 14190,
|
| 1041 |
+
"year": 2025
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"coverage_gap": true,
|
| 1045 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1046 |
+
"incomplete_results": false,
|
| 1047 |
+
"pages_scanned": 1,
|
| 1048 |
+
"query": "\"plant disease detection\" \"deep learning\" in:description,readme created:2025-01-01..2025-12-31",
|
| 1049 |
+
"query_id": "applied.plant-disease-detection",
|
| 1050 |
+
"repositories_observed_on_last_page": 100,
|
| 1051 |
+
"sampled_first_page": true,
|
| 1052 |
+
"search_limit_reached": true,
|
| 1053 |
+
"status": "sampled",
|
| 1054 |
+
"total_count": 3144,
|
| 1055 |
+
"year": 2025
|
| 1056 |
+
},
|
| 1057 |
+
{
|
| 1058 |
+
"coverage_gap": true,
|
| 1059 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1060 |
+
"incomplete_results": false,
|
| 1061 |
+
"pages_scanned": 1,
|
| 1062 |
+
"query": "\"spatial transcriptomics\" in:description,readme created:2025-01-01..2025-12-31",
|
| 1063 |
+
"query_id": "bio.spatial-transcriptomics",
|
| 1064 |
+
"repositories_observed_on_last_page": 100,
|
| 1065 |
+
"sampled_first_page": true,
|
| 1066 |
+
"search_limit_reached": true,
|
| 1067 |
+
"status": "sampled",
|
| 1068 |
+
"total_count": 2180,
|
| 1069 |
+
"year": 2025
|
| 1070 |
+
},
|
| 1071 |
+
{
|
| 1072 |
+
"coverage_gap": true,
|
| 1073 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1074 |
+
"incomplete_results": false,
|
| 1075 |
+
"pages_scanned": 1,
|
| 1076 |
+
"query": "pruning in:description created:2025-01-01..2025-12-31",
|
| 1077 |
+
"query_id": "efficiency.pruning",
|
| 1078 |
+
"repositories_observed_on_last_page": 100,
|
| 1079 |
+
"sampled_first_page": true,
|
| 1080 |
+
"search_limit_reached": true,
|
| 1081 |
+
"status": "sampled",
|
| 1082 |
+
"total_count": 2068,
|
| 1083 |
+
"year": 2025
|
| 1084 |
+
},
|
| 1085 |
+
{
|
| 1086 |
+
"coverage_gap": false,
|
| 1087 |
+
"coverage_gap_reason": null,
|
| 1088 |
+
"incomplete_results": false,
|
| 1089 |
+
"pages_scanned": 1,
|
| 1090 |
+
"query": "\"fMRI machine learning\" in:description,readme created:2025-01-01..2025-12-31",
|
| 1091 |
+
"query_id": "gap2026.neuroimaging-fmri",
|
| 1092 |
+
"repositories_observed_on_last_page": 3,
|
| 1093 |
+
"sampled_first_page": true,
|
| 1094 |
+
"search_limit_reached": false,
|
| 1095 |
+
"status": "complete",
|
| 1096 |
+
"total_count": 3,
|
| 1097 |
+
"year": 2025
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"coverage_gap": true,
|
| 1101 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1102 |
+
"incomplete_results": false,
|
| 1103 |
+
"pages_scanned": 1,
|
| 1104 |
+
"query": "\"metric learning\" in:description,readme created:2025-01-01..2025-12-31",
|
| 1105 |
+
"query_id": "general.metric-learning",
|
| 1106 |
+
"repositories_observed_on_last_page": 100,
|
| 1107 |
+
"sampled_first_page": true,
|
| 1108 |
+
"search_limit_reached": true,
|
| 1109 |
+
"status": "sampled",
|
| 1110 |
+
"total_count": 1881,
|
| 1111 |
+
"year": 2025
|
| 1112 |
+
},
|
| 1113 |
+
{
|
| 1114 |
+
"coverage_gap": true,
|
| 1115 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1116 |
+
"incomplete_results": false,
|
| 1117 |
+
"pages_scanned": 1,
|
| 1118 |
+
"query": "topic:remote-sensing created:2025-01-01..2025-12-31",
|
| 1119 |
+
"query_id": "geo.topic-remote-sensing",
|
| 1120 |
+
"repositories_observed_on_last_page": 100,
|
| 1121 |
+
"sampled_first_page": true,
|
| 1122 |
+
"search_limit_reached": false,
|
| 1123 |
+
"status": "sampled",
|
| 1124 |
+
"total_count": 585,
|
| 1125 |
+
"year": 2025
|
| 1126 |
+
},
|
| 1127 |
+
{
|
| 1128 |
+
"coverage_gap": true,
|
| 1129 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1130 |
+
"incomplete_results": false,
|
| 1131 |
+
"pages_scanned": 1,
|
| 1132 |
+
"query": "\"graph signal processing\" in:description,readme created:2025-01-01..2025-12-31",
|
| 1133 |
+
"query_id": "graph.signal-processing",
|
| 1134 |
+
"repositories_observed_on_last_page": 100,
|
| 1135 |
+
"sampled_first_page": true,
|
| 1136 |
+
"search_limit_reached": false,
|
| 1137 |
+
"status": "sampled",
|
| 1138 |
+
"total_count": 113,
|
| 1139 |
+
"year": 2025
|
| 1140 |
+
},
|
| 1141 |
+
{
|
| 1142 |
+
"coverage_gap": false,
|
| 1143 |
+
"coverage_gap_reason": null,
|
| 1144 |
+
"incomplete_results": false,
|
| 1145 |
+
"pages_scanned": 1,
|
| 1146 |
+
"query": "\"patient deterioration prediction\" in:description,readme created:2025-01-01..2025-12-31",
|
| 1147 |
+
"query_id": "medical.patient-risk",
|
| 1148 |
+
"repositories_observed_on_last_page": 20,
|
| 1149 |
+
"sampled_first_page": true,
|
| 1150 |
+
"search_limit_reached": false,
|
| 1151 |
+
"status": "complete",
|
| 1152 |
+
"total_count": 20,
|
| 1153 |
+
"year": 2025
|
| 1154 |
+
},
|
| 1155 |
+
{
|
| 1156 |
+
"coverage_gap": true,
|
| 1157 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1158 |
+
"incomplete_results": false,
|
| 1159 |
+
"pages_scanned": 1,
|
| 1160 |
+
"query": "\"vision-language model\" in:description created:2025-01-01..2025-12-31",
|
| 1161 |
+
"query_id": "multimodal.vlm",
|
| 1162 |
+
"repositories_observed_on_last_page": 100,
|
| 1163 |
+
"sampled_first_page": true,
|
| 1164 |
+
"search_limit_reached": true,
|
| 1165 |
+
"status": "sampled",
|
| 1166 |
+
"total_count": 1604,
|
| 1167 |
+
"year": 2025
|
| 1168 |
+
},
|
| 1169 |
+
{
|
| 1170 |
+
"coverage_gap": true,
|
| 1171 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1172 |
+
"incomplete_results": false,
|
| 1173 |
+
"pages_scanned": 1,
|
| 1174 |
+
"query": "\"neural network\" in:name,description,readme created:2025-01-01..2025-12-31",
|
| 1175 |
+
"query_id": "recall.name.neural-network",
|
| 1176 |
+
"repositories_observed_on_last_page": 100,
|
| 1177 |
+
"sampled_first_page": true,
|
| 1178 |
+
"search_limit_reached": true,
|
| 1179 |
+
"status": "sampled",
|
| 1180 |
+
"total_count": 270724,
|
| 1181 |
+
"year": 2025
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"coverage_gap": false,
|
| 1185 |
+
"coverage_gap_reason": null,
|
| 1186 |
+
"incomplete_results": false,
|
| 1187 |
+
"pages_scanned": 1,
|
| 1188 |
+
"query": "turbulence in:description \"machine learning\" created:2025-01-01..2025-12-31",
|
| 1189 |
+
"query_id": "science.turbulence",
|
| 1190 |
+
"repositories_observed_on_last_page": 12,
|
| 1191 |
+
"sampled_first_page": true,
|
| 1192 |
+
"search_limit_reached": false,
|
| 1193 |
+
"status": "complete",
|
| 1194 |
+
"total_count": 12,
|
| 1195 |
+
"year": 2025
|
| 1196 |
+
},
|
| 1197 |
+
{
|
| 1198 |
+
"coverage_gap": true,
|
| 1199 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1200 |
+
"incomplete_results": false,
|
| 1201 |
+
"pages_scanned": 1,
|
| 1202 |
+
"query": "\"traffic forecasting\" in:description created:2025-01-01..2025-12-31",
|
| 1203 |
+
"query_id": "timeseries.traffic-forecasting",
|
| 1204 |
+
"repositories_observed_on_last_page": 100,
|
| 1205 |
+
"sampled_first_page": true,
|
| 1206 |
+
"search_limit_reached": false,
|
| 1207 |
+
"status": "sampled",
|
| 1208 |
+
"total_count": 118,
|
| 1209 |
+
"year": 2025
|
| 1210 |
+
},
|
| 1211 |
+
{
|
| 1212 |
+
"coverage_gap": false,
|
| 1213 |
+
"coverage_gap_reason": null,
|
| 1214 |
+
"incomplete_results": false,
|
| 1215 |
+
"pages_scanned": 1,
|
| 1216 |
+
"query": "\"out-of-distribution detection\" in:description created:2025-01-01..2025-12-31",
|
| 1217 |
+
"query_id": "trust.out-of-distribution-detection",
|
| 1218 |
+
"repositories_observed_on_last_page": 77,
|
| 1219 |
+
"sampled_first_page": true,
|
| 1220 |
+
"search_limit_reached": false,
|
| 1221 |
+
"status": "complete",
|
| 1222 |
+
"total_count": 77,
|
| 1223 |
+
"year": 2025
|
| 1224 |
+
},
|
| 1225 |
+
{
|
| 1226 |
+
"coverage_gap": true,
|
| 1227 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1228 |
+
"incomplete_results": false,
|
| 1229 |
+
"pages_scanned": 1,
|
| 1230 |
+
"query": "\"video understanding\" in:readme created:2025-01-01..2025-12-31",
|
| 1231 |
+
"query_id": "vision.video-understanding",
|
| 1232 |
+
"repositories_observed_on_last_page": 100,
|
| 1233 |
+
"sampled_first_page": true,
|
| 1234 |
+
"search_limit_reached": true,
|
| 1235 |
+
"status": "sampled",
|
| 1236 |
+
"total_count": 2541,
|
| 1237 |
+
"year": 2025
|
| 1238 |
+
},
|
| 1239 |
+
{
|
| 1240 |
+
"coverage_gap": true,
|
| 1241 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1242 |
+
"incomplete_results": false,
|
| 1243 |
+
"pages_scanned": 1,
|
| 1244 |
+
"query": "\"portfolio optimization\" in:readme created:2025-01-01..2025-12-31",
|
| 1245 |
+
"query_id": "applied.portfolio-optimization",
|
| 1246 |
+
"repositories_observed_on_last_page": 100,
|
| 1247 |
+
"sampled_first_page": true,
|
| 1248 |
+
"search_limit_reached": true,
|
| 1249 |
+
"status": "sampled",
|
| 1250 |
+
"total_count": 11180,
|
| 1251 |
+
"year": 2025
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"coverage_gap": true,
|
| 1255 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1256 |
+
"incomplete_results": false,
|
| 1257 |
+
"pages_scanned": 1,
|
| 1258 |
+
"query": "\"transcriptomics\" in:description created:2025-01-01..2025-12-31",
|
| 1259 |
+
"query_id": "bio.transcriptomics",
|
| 1260 |
+
"repositories_observed_on_last_page": 100,
|
| 1261 |
+
"sampled_first_page": true,
|
| 1262 |
+
"search_limit_reached": true,
|
| 1263 |
+
"status": "sampled",
|
| 1264 |
+
"total_count": 1405,
|
| 1265 |
+
"year": 2025
|
| 1266 |
+
},
|
| 1267 |
+
{
|
| 1268 |
+
"coverage_gap": true,
|
| 1269 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1270 |
+
"incomplete_results": false,
|
| 1271 |
+
"pages_scanned": 1,
|
| 1272 |
+
"query": "quantization in:description created:2025-01-01..2025-12-31",
|
| 1273 |
+
"query_id": "efficiency.quantization",
|
| 1274 |
+
"repositories_observed_on_last_page": 100,
|
| 1275 |
+
"sampled_first_page": true,
|
| 1276 |
+
"search_limit_reached": true,
|
| 1277 |
+
"status": "sampled",
|
| 1278 |
+
"total_count": 2706,
|
| 1279 |
+
"year": 2025
|
| 1280 |
+
},
|
| 1281 |
+
{
|
| 1282 |
+
"coverage_gap": true,
|
| 1283 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1284 |
+
"incomplete_results": false,
|
| 1285 |
+
"pages_scanned": 1,
|
| 1286 |
+
"query": "\"neural decoding\" machine learning in:description,readme created:2025-01-01..2025-12-31",
|
| 1287 |
+
"query_id": "gap2026.neuroimaging-neural-decoding",
|
| 1288 |
+
"repositories_observed_on_last_page": 98,
|
| 1289 |
+
"sampled_first_page": true,
|
| 1290 |
+
"search_limit_reached": false,
|
| 1291 |
+
"status": "sampled",
|
| 1292 |
+
"total_count": 130,
|
| 1293 |
+
"year": 2025
|
| 1294 |
+
},
|
| 1295 |
+
{
|
| 1296 |
+
"coverage_gap": true,
|
| 1297 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1298 |
+
"incomplete_results": false,
|
| 1299 |
+
"pages_scanned": 1,
|
| 1300 |
+
"query": "\"model architecture\" in:description created:2025-01-01..2025-12-31",
|
| 1301 |
+
"query_id": "general.model-architecture",
|
| 1302 |
+
"repositories_observed_on_last_page": 100,
|
| 1303 |
+
"sampled_first_page": true,
|
| 1304 |
+
"search_limit_reached": false,
|
| 1305 |
+
"status": "sampled",
|
| 1306 |
+
"total_count": 671,
|
| 1307 |
+
"year": 2025
|
| 1308 |
+
},
|
| 1309 |
+
{
|
| 1310 |
+
"coverage_gap": false,
|
| 1311 |
+
"coverage_gap_reason": null,
|
| 1312 |
+
"incomplete_results": false,
|
| 1313 |
+
"pages_scanned": 1,
|
| 1314 |
+
"query": "\"trajectory prediction\" geospatial in:description,readme created:2025-01-01..2025-12-31",
|
| 1315 |
+
"query_id": "geo.trajectory-prediction",
|
| 1316 |
+
"repositories_observed_on_last_page": 59,
|
| 1317 |
+
"sampled_first_page": true,
|
| 1318 |
+
"search_limit_reached": false,
|
| 1319 |
+
"status": "complete",
|
| 1320 |
+
"total_count": 59,
|
| 1321 |
+
"year": 2025
|
| 1322 |
+
},
|
| 1323 |
+
{
|
| 1324 |
+
"coverage_gap": true,
|
| 1325 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1326 |
+
"incomplete_results": false,
|
| 1327 |
+
"pages_scanned": 1,
|
| 1328 |
+
"query": "\"temporal graph\" in:description,readme created:2025-01-01..2025-12-31",
|
| 1329 |
+
"query_id": "graph.temporal-learning",
|
| 1330 |
+
"repositories_observed_on_last_page": 100,
|
| 1331 |
+
"sampled_first_page": true,
|
| 1332 |
+
"search_limit_reached": true,
|
| 1333 |
+
"status": "sampled",
|
| 1334 |
+
"total_count": 1643,
|
| 1335 |
+
"year": 2025
|
| 1336 |
+
},
|
| 1337 |
+
{
|
| 1338 |
+
"coverage_gap": false,
|
| 1339 |
+
"coverage_gap_reason": null,
|
| 1340 |
+
"incomplete_results": false,
|
| 1341 |
+
"pages_scanned": 1,
|
| 1342 |
+
"query": "\"radiology machine learning\" in:readme created:2025-01-01..2025-12-31",
|
| 1343 |
+
"query_id": "medical.radiology",
|
| 1344 |
+
"repositories_observed_on_last_page": 1,
|
| 1345 |
+
"sampled_first_page": true,
|
| 1346 |
+
"search_limit_reached": false,
|
| 1347 |
+
"status": "complete",
|
| 1348 |
+
"total_count": 1,
|
| 1349 |
+
"year": 2025
|
| 1350 |
+
},
|
| 1351 |
+
{
|
| 1352 |
+
"coverage_gap": true,
|
| 1353 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1354 |
+
"incomplete_results": false,
|
| 1355 |
+
"pages_scanned": 1,
|
| 1356 |
+
"query": "\"world model\" in:description created:2025-01-01..2025-12-31",
|
| 1357 |
+
"query_id": "multimodal.world-models",
|
| 1358 |
+
"repositories_observed_on_last_page": 100,
|
| 1359 |
+
"sampled_first_page": true,
|
| 1360 |
+
"search_limit_reached": false,
|
| 1361 |
+
"status": "sampled",
|
| 1362 |
+
"total_count": 560,
|
| 1363 |
+
"year": 2025
|
| 1364 |
+
},
|
| 1365 |
+
{
|
| 1366 |
+
"coverage_gap": true,
|
| 1367 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1368 |
+
"incomplete_results": false,
|
| 1369 |
+
"pages_scanned": 1,
|
| 1370 |
+
"query": "transformer model in:name,description,readme created:2025-01-01..2025-12-31",
|
| 1371 |
+
"query_id": "recall.name.transformer-model",
|
| 1372 |
+
"repositories_observed_on_last_page": 100,
|
| 1373 |
+
"sampled_first_page": true,
|
| 1374 |
+
"search_limit_reached": true,
|
| 1375 |
+
"status": "sampled",
|
| 1376 |
+
"total_count": 272888,
|
| 1377 |
+
"year": 2025
|
| 1378 |
+
},
|
| 1379 |
+
{
|
| 1380 |
+
"coverage_gap": false,
|
| 1381 |
+
"coverage_gap_reason": null,
|
| 1382 |
+
"incomplete_results": false,
|
| 1383 |
+
"pages_scanned": 1,
|
| 1384 |
+
"query": "\"weather forecasting\" climate in:description created:2025-01-01..2025-12-31",
|
| 1385 |
+
"query_id": "science.weather-forecasting",
|
| 1386 |
+
"repositories_observed_on_last_page": 92,
|
| 1387 |
+
"sampled_first_page": true,
|
| 1388 |
+
"search_limit_reached": false,
|
| 1389 |
+
"status": "complete",
|
| 1390 |
+
"total_count": 92,
|
| 1391 |
+
"year": 2025
|
| 1392 |
+
},
|
| 1393 |
+
{
|
| 1394 |
+
"coverage_gap": false,
|
| 1395 |
+
"coverage_gap_reason": null,
|
| 1396 |
+
"incomplete_results": false,
|
| 1397 |
+
"pages_scanned": 1,
|
| 1398 |
+
"query": "\"irregular time series\" in:description created:2025-01-01..2025-12-31",
|
| 1399 |
+
"query_id": "timeseries.unevenly-spaced",
|
| 1400 |
+
"repositories_observed_on_last_page": 11,
|
| 1401 |
+
"sampled_first_page": true,
|
| 1402 |
+
"search_limit_reached": false,
|
| 1403 |
+
"status": "complete",
|
| 1404 |
+
"total_count": 11,
|
| 1405 |
+
"year": 2025
|
| 1406 |
+
},
|
| 1407 |
+
{
|
| 1408 |
+
"coverage_gap": false,
|
| 1409 |
+
"coverage_gap_reason": null,
|
| 1410 |
+
"incomplete_results": false,
|
| 1411 |
+
"pages_scanned": 1,
|
| 1412 |
+
"query": "\"privacy-preserving machine learning\" in:description created:2025-01-01..2025-12-31",
|
| 1413 |
+
"query_id": "trust.privacy-preserving-ml",
|
| 1414 |
+
"repositories_observed_on_last_page": 52,
|
| 1415 |
+
"sampled_first_page": true,
|
| 1416 |
+
"search_limit_reached": false,
|
| 1417 |
+
"status": "complete",
|
| 1418 |
+
"total_count": 52,
|
| 1419 |
+
"year": 2025
|
| 1420 |
+
},
|
| 1421 |
+
{
|
| 1422 |
+
"coverage_gap": true,
|
| 1423 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1424 |
+
"incomplete_results": false,
|
| 1425 |
+
"pages_scanned": 1,
|
| 1426 |
+
"query": "\"vision-language model\" in:readme created:2025-01-01..2025-12-31",
|
| 1427 |
+
"query_id": "vision.vision-language",
|
| 1428 |
+
"repositories_observed_on_last_page": 100,
|
| 1429 |
+
"sampled_first_page": true,
|
| 1430 |
+
"search_limit_reached": true,
|
| 1431 |
+
"status": "sampled",
|
| 1432 |
+
"total_count": 13456,
|
| 1433 |
+
"year": 2025
|
| 1434 |
+
},
|
| 1435 |
+
{
|
| 1436 |
+
"coverage_gap": true,
|
| 1437 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1438 |
+
"incomplete_results": false,
|
| 1439 |
+
"pages_scanned": 1,
|
| 1440 |
+
"query": "\"predictive maintenance\" industrial in:description created:2025-01-01..2025-12-31",
|
| 1441 |
+
"query_id": "applied.predictive-maintenance",
|
| 1442 |
+
"repositories_observed_on_last_page": 100,
|
| 1443 |
+
"sampled_first_page": true,
|
| 1444 |
+
"search_limit_reached": false,
|
| 1445 |
+
"status": "sampled",
|
| 1446 |
+
"total_count": 330,
|
| 1447 |
+
"year": 2025
|
| 1448 |
+
},
|
| 1449 |
+
{
|
| 1450 |
+
"coverage_gap": true,
|
| 1451 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1452 |
+
"incomplete_results": false,
|
| 1453 |
+
"pages_scanned": 1,
|
| 1454 |
+
"query": "\"variant effect prediction\" in:readme created:2025-01-01..2025-12-31",
|
| 1455 |
+
"query_id": "bio.variant-effects",
|
| 1456 |
+
"repositories_observed_on_last_page": 100,
|
| 1457 |
+
"sampled_first_page": true,
|
| 1458 |
+
"search_limit_reached": false,
|
| 1459 |
+
"status": "sampled",
|
| 1460 |
+
"total_count": 232,
|
| 1461 |
+
"year": 2025
|
| 1462 |
+
},
|
| 1463 |
+
{
|
| 1464 |
+
"coverage_gap": false,
|
| 1465 |
+
"coverage_gap_reason": null,
|
| 1466 |
+
"incomplete_results": false,
|
| 1467 |
+
"pages_scanned": 1,
|
| 1468 |
+
"query": "\"quantization-aware training\" in:description created:2025-01-01..2025-12-31",
|
| 1469 |
+
"query_id": "efficiency.quantization-aware-training",
|
| 1470 |
+
"repositories_observed_on_last_page": 49,
|
| 1471 |
+
"sampled_first_page": true,
|
| 1472 |
+
"search_limit_reached": false,
|
| 1473 |
+
"status": "complete",
|
| 1474 |
+
"total_count": 49,
|
| 1475 |
+
"year": 2025
|
| 1476 |
+
},
|
| 1477 |
+
{
|
| 1478 |
+
"coverage_gap": false,
|
| 1479 |
+
"coverage_gap_reason": null,
|
| 1480 |
+
"incomplete_results": false,
|
| 1481 |
+
"pages_scanned": 1,
|
| 1482 |
+
"query": "\"differentiable physics simulation\" in:description,readme created:2025-01-01..2025-12-31",
|
| 1483 |
+
"query_id": "gap2026.physics-differentiable-simulation",
|
| 1484 |
+
"repositories_observed_on_last_page": 56,
|
| 1485 |
+
"sampled_first_page": true,
|
| 1486 |
+
"search_limit_reached": false,
|
| 1487 |
+
"status": "complete",
|
| 1488 |
+
"total_count": 56,
|
| 1489 |
+
"year": 2025
|
| 1490 |
+
},
|
| 1491 |
+
{
|
| 1492 |
+
"coverage_gap": true,
|
| 1493 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1494 |
+
"incomplete_results": false,
|
| 1495 |
+
"pages_scanned": 1,
|
| 1496 |
+
"query": "\"multi-task learning\" in:description,readme created:2025-01-01..2025-12-31",
|
| 1497 |
+
"query_id": "general.multi-task-learning",
|
| 1498 |
+
"repositories_observed_on_last_page": 100,
|
| 1499 |
+
"sampled_first_page": true,
|
| 1500 |
+
"search_limit_reached": true,
|
| 1501 |
+
"status": "sampled",
|
| 1502 |
+
"total_count": 4091,
|
| 1503 |
+
"year": 2025
|
| 1504 |
+
},
|
| 1505 |
+
{
|
| 1506 |
+
"coverage_gap": false,
|
| 1507 |
+
"coverage_gap_reason": null,
|
| 1508 |
+
"incomplete_results": false,
|
| 1509 |
+
"pages_scanned": 1,
|
| 1510 |
+
"query": "\"urban remote sensing\" in:readme created:2025-01-01..2025-12-31",
|
| 1511 |
+
"query_id": "geo.urban-sensing",
|
| 1512 |
+
"repositories_observed_on_last_page": 11,
|
| 1513 |
+
"sampled_first_page": true,
|
| 1514 |
+
"search_limit_reached": false,
|
| 1515 |
+
"status": "complete",
|
| 1516 |
+
"total_count": 11,
|
| 1517 |
+
"year": 2025
|
| 1518 |
+
},
|
| 1519 |
+
{
|
| 1520 |
+
"coverage_gap": false,
|
| 1521 |
+
"coverage_gap_reason": null,
|
| 1522 |
+
"incomplete_results": false,
|
| 1523 |
+
"pages_scanned": 1,
|
| 1524 |
+
"query": "topic:graph-neural-network created:2025-01-01..2025-12-31",
|
| 1525 |
+
"query_id": "graph.topic-gnn",
|
| 1526 |
+
"repositories_observed_on_last_page": 45,
|
| 1527 |
+
"sampled_first_page": true,
|
| 1528 |
+
"search_limit_reached": false,
|
| 1529 |
+
"status": "complete",
|
| 1530 |
+
"total_count": 45,
|
| 1531 |
+
"year": 2025
|
| 1532 |
+
},
|
| 1533 |
+
{
|
| 1534 |
+
"coverage_gap": true,
|
| 1535 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1536 |
+
"incomplete_results": false,
|
| 1537 |
+
"pages_scanned": 1,
|
| 1538 |
+
"query": "clinical survival prediction in:description,readme created:2025-01-01..2025-12-31",
|
| 1539 |
+
"query_id": "medical.survival-analysis",
|
| 1540 |
+
"repositories_observed_on_last_page": 100,
|
| 1541 |
+
"sampled_first_page": true,
|
| 1542 |
+
"search_limit_reached": true,
|
| 1543 |
+
"status": "sampled",
|
| 1544 |
+
"total_count": 2294,
|
| 1545 |
+
"year": 2025
|
| 1546 |
+
},
|
| 1547 |
+
{
|
| 1548 |
+
"coverage_gap": true,
|
| 1549 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1550 |
+
"incomplete_results": false,
|
| 1551 |
+
"pages_scanned": 1,
|
| 1552 |
+
"query": "\"player tracking\" computer vision in:name,description,readme created:2025-01-01..2025-12-31",
|
| 1553 |
+
"query_id": "recall.player-tracking",
|
| 1554 |
+
"repositories_observed_on_last_page": 100,
|
| 1555 |
+
"sampled_first_page": true,
|
| 1556 |
+
"search_limit_reached": false,
|
| 1557 |
+
"status": "sampled",
|
| 1558 |
+
"total_count": 712,
|
| 1559 |
+
"year": 2025
|
| 1560 |
+
},
|
| 1561 |
+
{
|
| 1562 |
+
"coverage_gap": false,
|
| 1563 |
+
"coverage_gap_reason": null,
|
| 1564 |
+
"incomplete_results": false,
|
| 1565 |
+
"pages_scanned": 1,
|
| 1566 |
+
"query": "nowcasting in:description \"machine learning\" created:2025-01-01..2025-12-31",
|
| 1567 |
+
"query_id": "science.weather-nowcasting",
|
| 1568 |
+
"repositories_observed_on_last_page": 8,
|
| 1569 |
+
"sampled_first_page": true,
|
| 1570 |
+
"search_limit_reached": false,
|
| 1571 |
+
"status": "complete",
|
| 1572 |
+
"total_count": 8,
|
| 1573 |
+
"year": 2025
|
| 1574 |
+
},
|
| 1575 |
+
{
|
| 1576 |
+
"coverage_gap": true,
|
| 1577 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1578 |
+
"incomplete_results": false,
|
| 1579 |
+
"pages_scanned": 1,
|
| 1580 |
+
"query": "\"weather forecasting\" in:description created:2025-01-01..2025-12-31",
|
| 1581 |
+
"query_id": "timeseries.weather-forecasting",
|
| 1582 |
+
"repositories_observed_on_last_page": 100,
|
| 1583 |
+
"sampled_first_page": true,
|
| 1584 |
+
"search_limit_reached": true,
|
| 1585 |
+
"status": "sampled",
|
| 1586 |
+
"total_count": 6099,
|
| 1587 |
+
"year": 2025
|
| 1588 |
+
},
|
| 1589 |
+
{
|
| 1590 |
+
"coverage_gap": false,
|
| 1591 |
+
"coverage_gap_reason": null,
|
| 1592 |
+
"incomplete_results": false,
|
| 1593 |
+
"pages_scanned": 1,
|
| 1594 |
+
"query": "\"certified robustness\" in:description created:2025-01-01..2025-12-31",
|
| 1595 |
+
"query_id": "trust.robustness-certification",
|
| 1596 |
+
"repositories_observed_on_last_page": 7,
|
| 1597 |
+
"sampled_first_page": true,
|
| 1598 |
+
"search_limit_reached": false,
|
| 1599 |
+
"status": "complete",
|
| 1600 |
+
"total_count": 7,
|
| 1601 |
+
"year": 2025
|
| 1602 |
+
},
|
| 1603 |
+
{
|
| 1604 |
+
"coverage_gap": true,
|
| 1605 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1606 |
+
"incomplete_results": false,
|
| 1607 |
+
"pages_scanned": 1,
|
| 1608 |
+
"query": "\"visual anomaly detection\" in:readme created:2025-01-01..2025-12-31",
|
| 1609 |
+
"query_id": "vision.visual-anomaly-detection",
|
| 1610 |
+
"repositories_observed_on_last_page": 100,
|
| 1611 |
+
"sampled_first_page": true,
|
| 1612 |
+
"search_limit_reached": false,
|
| 1613 |
+
"status": "sampled",
|
| 1614 |
+
"total_count": 191,
|
| 1615 |
+
"year": 2025
|
| 1616 |
+
},
|
| 1617 |
+
{
|
| 1618 |
+
"coverage_gap": false,
|
| 1619 |
+
"coverage_gap_reason": null,
|
| 1620 |
+
"incomplete_results": false,
|
| 1621 |
+
"pages_scanned": 1,
|
| 1622 |
+
"query": "\"predictive process monitoring\" in:description,readme created:2025-01-01..2025-12-31",
|
| 1623 |
+
"query_id": "applied.process-mining-prediction",
|
| 1624 |
+
"repositories_observed_on_last_page": 64,
|
| 1625 |
+
"sampled_first_page": true,
|
| 1626 |
+
"search_limit_reached": false,
|
| 1627 |
+
"status": "complete",
|
| 1628 |
+
"total_count": 64,
|
| 1629 |
+
"year": 2025
|
| 1630 |
+
},
|
| 1631 |
+
{
|
| 1632 |
+
"coverage_gap": false,
|
| 1633 |
+
"coverage_gap_reason": null,
|
| 1634 |
+
"incomplete_results": false,
|
| 1635 |
+
"pages_scanned": 1,
|
| 1636 |
+
"query": "\"sparse neural network\" in:description created:2025-01-01..2025-12-31",
|
| 1637 |
+
"query_id": "efficiency.sparse-neural-networks",
|
| 1638 |
+
"repositories_observed_on_last_page": 7,
|
| 1639 |
+
"sampled_first_page": true,
|
| 1640 |
+
"search_limit_reached": false,
|
| 1641 |
+
"status": "complete",
|
| 1642 |
+
"total_count": 7,
|
| 1643 |
+
"year": 2025
|
| 1644 |
+
},
|
| 1645 |
+
{
|
| 1646 |
+
"coverage_gap": true,
|
| 1647 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1648 |
+
"incomplete_results": false,
|
| 1649 |
+
"pages_scanned": 1,
|
| 1650 |
+
"query": "\"inverse problems\" neural network physics in:description,readme created:2025-01-01..2025-12-31",
|
| 1651 |
+
"query_id": "gap2026.physics-inverse-problem",
|
| 1652 |
+
"repositories_observed_on_last_page": 100,
|
| 1653 |
+
"sampled_first_page": true,
|
| 1654 |
+
"search_limit_reached": false,
|
| 1655 |
+
"status": "sampled",
|
| 1656 |
+
"total_count": 500,
|
| 1657 |
+
"year": 2025
|
| 1658 |
+
},
|
| 1659 |
+
{
|
| 1660 |
+
"coverage_gap": true,
|
| 1661 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1662 |
+
"incomplete_results": false,
|
| 1663 |
+
"pages_scanned": 1,
|
| 1664 |
+
"query": "\"naive Bayes\" in:description,readme created:2025-01-01..2025-12-31",
|
| 1665 |
+
"query_id": "general.naive-bayes",
|
| 1666 |
+
"repositories_observed_on_last_page": 100,
|
| 1667 |
+
"sampled_first_page": true,
|
| 1668 |
+
"search_limit_reached": true,
|
| 1669 |
+
"status": "sampled",
|
| 1670 |
+
"total_count": 45818,
|
| 1671 |
+
"year": 2025
|
| 1672 |
+
},
|
| 1673 |
+
{
|
| 1674 |
+
"coverage_gap": true,
|
| 1675 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1676 |
+
"incomplete_results": false,
|
| 1677 |
+
"pages_scanned": 1,
|
| 1678 |
+
"query": "\"wildfire detection\" in:description,readme created:2025-01-01..2025-12-31",
|
| 1679 |
+
"query_id": "geo.wildfire-mapping",
|
| 1680 |
+
"repositories_observed_on_last_page": 100,
|
| 1681 |
+
"sampled_first_page": true,
|
| 1682 |
+
"search_limit_reached": false,
|
| 1683 |
+
"status": "sampled",
|
| 1684 |
+
"total_count": 714,
|
| 1685 |
+
"year": 2025
|
| 1686 |
+
},
|
| 1687 |
+
{
|
| 1688 |
+
"coverage_gap": false,
|
| 1689 |
+
"coverage_gap_reason": null,
|
| 1690 |
+
"incomplete_results": false,
|
| 1691 |
+
"pages_scanned": 1,
|
| 1692 |
+
"query": "\"topological machine learning\" in:readme created:2025-01-01..2025-12-31",
|
| 1693 |
+
"query_id": "graph.topological-ml",
|
| 1694 |
+
"repositories_observed_on_last_page": 20,
|
| 1695 |
+
"sampled_first_page": true,
|
| 1696 |
+
"search_limit_reached": false,
|
| 1697 |
+
"status": "complete",
|
| 1698 |
+
"total_count": 20,
|
| 1699 |
+
"year": 2025
|
| 1700 |
+
},
|
| 1701 |
+
{
|
| 1702 |
+
"coverage_gap": true,
|
| 1703 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1704 |
+
"incomplete_results": false,
|
| 1705 |
+
"pages_scanned": 1,
|
| 1706 |
+
"query": "\"wearable health monitoring\" in:readme created:2025-01-01..2025-12-31",
|
| 1707 |
+
"query_id": "medical.wearable-health",
|
| 1708 |
+
"repositories_observed_on_last_page": 100,
|
| 1709 |
+
"sampled_first_page": true,
|
| 1710 |
+
"search_limit_reached": false,
|
| 1711 |
+
"status": "sampled",
|
| 1712 |
+
"total_count": 283,
|
| 1713 |
+
"year": 2025
|
| 1714 |
+
},
|
| 1715 |
+
{
|
| 1716 |
+
"coverage_gap": false,
|
| 1717 |
+
"coverage_gap_reason": null,
|
| 1718 |
+
"incomplete_results": false,
|
| 1719 |
+
"pages_scanned": 1,
|
| 1720 |
+
"query": "\"population health prediction\" in:name,description,readme created:2025-01-01..2025-12-31",
|
| 1721 |
+
"query_id": "recall.population-health-prediction",
|
| 1722 |
+
"repositories_observed_on_last_page": 2,
|
| 1723 |
+
"sampled_first_page": true,
|
| 1724 |
+
"search_limit_reached": false,
|
| 1725 |
+
"status": "complete",
|
| 1726 |
+
"total_count": 2,
|
| 1727 |
+
"year": 2025
|
| 1728 |
+
},
|
| 1729 |
+
{
|
| 1730 |
+
"coverage_gap": false,
|
| 1731 |
+
"coverage_gap_reason": null,
|
| 1732 |
+
"incomplete_results": false,
|
| 1733 |
+
"pages_scanned": 1,
|
| 1734 |
+
"query": "\"safe reinforcement learning\" constrained in:description created:2025-01-01..2025-12-31",
|
| 1735 |
+
"query_id": "trust.safe-reinforcement-learning",
|
| 1736 |
+
"repositories_observed_on_last_page": 3,
|
| 1737 |
+
"sampled_first_page": true,
|
| 1738 |
+
"search_limit_reached": false,
|
| 1739 |
+
"status": "complete",
|
| 1740 |
+
"total_count": 3,
|
| 1741 |
+
"year": 2025
|
| 1742 |
+
},
|
| 1743 |
+
{
|
| 1744 |
+
"coverage_gap": true,
|
| 1745 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1746 |
+
"incomplete_results": false,
|
| 1747 |
+
"pages_scanned": 1,
|
| 1748 |
+
"query": "\"visual localization\" in:readme created:2025-01-01..2025-12-31",
|
| 1749 |
+
"query_id": "vision.visual-localization",
|
| 1750 |
+
"repositories_observed_on_last_page": 100,
|
| 1751 |
+
"sampled_first_page": true,
|
| 1752 |
+
"search_limit_reached": false,
|
| 1753 |
+
"status": "sampled",
|
| 1754 |
+
"total_count": 333,
|
| 1755 |
+
"year": 2025
|
| 1756 |
+
},
|
| 1757 |
+
{
|
| 1758 |
+
"coverage_gap": true,
|
| 1759 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1760 |
+
"incomplete_results": false,
|
| 1761 |
+
"pages_scanned": 1,
|
| 1762 |
+
"query": "\"quantitative finance\" in:readme created:2025-01-01..2025-12-31",
|
| 1763 |
+
"query_id": "applied.quantitative-finance",
|
| 1764 |
+
"repositories_observed_on_last_page": 100,
|
| 1765 |
+
"sampled_first_page": true,
|
| 1766 |
+
"search_limit_reached": true,
|
| 1767 |
+
"status": "sampled",
|
| 1768 |
+
"total_count": 5904,
|
| 1769 |
+
"year": 2025
|
| 1770 |
+
},
|
| 1771 |
+
{
|
| 1772 |
+
"coverage_gap": true,
|
| 1773 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1774 |
+
"incomplete_results": false,
|
| 1775 |
+
"pages_scanned": 1,
|
| 1776 |
+
"query": "\"speculative decoding\" in:description created:2025-01-01..2025-12-31",
|
| 1777 |
+
"query_id": "efficiency.speculative-decoding",
|
| 1778 |
+
"repositories_observed_on_last_page": 100,
|
| 1779 |
+
"sampled_first_page": true,
|
| 1780 |
+
"search_limit_reached": false,
|
| 1781 |
+
"status": "sampled",
|
| 1782 |
+
"total_count": 147,
|
| 1783 |
+
"year": 2025
|
| 1784 |
+
},
|
| 1785 |
+
{
|
| 1786 |
+
"coverage_gap": false,
|
| 1787 |
+
"coverage_gap_reason": null,
|
| 1788 |
+
"incomplete_results": false,
|
| 1789 |
+
"pages_scanned": 1,
|
| 1790 |
+
"query": "\"neural PDE solver\" in:description,readme created:2025-01-01..2025-12-31",
|
| 1791 |
+
"query_id": "gap2026.physics-neural-pde-solver",
|
| 1792 |
+
"repositories_observed_on_last_page": 74,
|
| 1793 |
+
"sampled_first_page": true,
|
| 1794 |
+
"search_limit_reached": false,
|
| 1795 |
+
"status": "complete",
|
| 1796 |
+
"total_count": 74,
|
| 1797 |
+
"year": 2025
|
| 1798 |
+
},
|
| 1799 |
+
{
|
| 1800 |
+
"coverage_gap": true,
|
| 1801 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1802 |
+
"incomplete_results": false,
|
| 1803 |
+
"pages_scanned": 1,
|
| 1804 |
+
"query": "\"nearest neighbors\" \"machine learning\" in:description,readme created:2025-01-01..2025-12-31",
|
| 1805 |
+
"query_id": "general.nearest-neighbors",
|
| 1806 |
+
"repositories_observed_on_last_page": 100,
|
| 1807 |
+
"sampled_first_page": true,
|
| 1808 |
+
"search_limit_reached": true,
|
| 1809 |
+
"status": "sampled",
|
| 1810 |
+
"total_count": 32535,
|
| 1811 |
+
"year": 2025
|
| 1812 |
+
},
|
| 1813 |
+
{
|
| 1814 |
+
"coverage_gap": false,
|
| 1815 |
+
"coverage_gap_reason": null,
|
| 1816 |
+
"incomplete_results": false,
|
| 1817 |
+
"pages_scanned": 1,
|
| 1818 |
+
"query": "\"power system forecasting\" in:name,description,readme created:2025-01-01..2025-12-31",
|
| 1819 |
+
"query_id": "recall.power-system-forecasting",
|
| 1820 |
+
"repositories_observed_on_last_page": 6,
|
| 1821 |
+
"sampled_first_page": true,
|
| 1822 |
+
"search_limit_reached": false,
|
| 1823 |
+
"status": "complete",
|
| 1824 |
+
"total_count": 6,
|
| 1825 |
+
"year": 2025
|
| 1826 |
+
},
|
| 1827 |
+
{
|
| 1828 |
+
"coverage_gap": true,
|
| 1829 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1830 |
+
"incomplete_results": false,
|
| 1831 |
+
"pages_scanned": 1,
|
| 1832 |
+
"query": "SHAP in:description created:2025-01-01..2025-12-31",
|
| 1833 |
+
"query_id": "trust.shap",
|
| 1834 |
+
"repositories_observed_on_last_page": 100,
|
| 1835 |
+
"sampled_first_page": true,
|
| 1836 |
+
"search_limit_reached": true,
|
| 1837 |
+
"status": "sampled",
|
| 1838 |
+
"total_count": 3750,
|
| 1839 |
+
"year": 2025
|
| 1840 |
+
},
|
| 1841 |
+
{
|
| 1842 |
+
"coverage_gap": true,
|
| 1843 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1844 |
+
"incomplete_results": false,
|
| 1845 |
+
"pages_scanned": 1,
|
| 1846 |
+
"query": "\"recommender system\" in:readme created:2025-01-01..2025-12-31",
|
| 1847 |
+
"query_id": "applied.recommender-systems",
|
| 1848 |
+
"repositories_observed_on_last_page": 100,
|
| 1849 |
+
"sampled_first_page": true,
|
| 1850 |
+
"search_limit_reached": true,
|
| 1851 |
+
"status": "sampled",
|
| 1852 |
+
"total_count": 19574,
|
| 1853 |
+
"year": 2025
|
| 1854 |
+
},
|
| 1855 |
+
{
|
| 1856 |
+
"coverage_gap": true,
|
| 1857 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1858 |
+
"incomplete_results": false,
|
| 1859 |
+
"pages_scanned": 1,
|
| 1860 |
+
"query": "\"quantum machine learning\" physics in:description,readme created:2025-01-01..2025-12-31",
|
| 1861 |
+
"query_id": "gap2026.physics-quantum-ml",
|
| 1862 |
+
"repositories_observed_on_last_page": 100,
|
| 1863 |
+
"sampled_first_page": true,
|
| 1864 |
+
"search_limit_reached": false,
|
| 1865 |
+
"status": "sampled",
|
| 1866 |
+
"total_count": 367,
|
| 1867 |
+
"year": 2025
|
| 1868 |
+
},
|
| 1869 |
+
{
|
| 1870 |
+
"coverage_gap": true,
|
| 1871 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1872 |
+
"incomplete_results": false,
|
| 1873 |
+
"pages_scanned": 1,
|
| 1874 |
+
"query": "\"neural network\" in:description created:2025-01-01..2025-12-31",
|
| 1875 |
+
"query_id": "general.neural-network",
|
| 1876 |
+
"repositories_observed_on_last_page": 100,
|
| 1877 |
+
"sampled_first_page": true,
|
| 1878 |
+
"search_limit_reached": true,
|
| 1879 |
+
"status": "sampled",
|
| 1880 |
+
"total_count": 39530,
|
| 1881 |
+
"year": 2025
|
| 1882 |
+
},
|
| 1883 |
+
{
|
| 1884 |
+
"coverage_gap": true,
|
| 1885 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1886 |
+
"incomplete_results": false,
|
| 1887 |
+
"pages_scanned": 1,
|
| 1888 |
+
"query": "\"social media analysis\" NLP in:name,description,readme created:2025-01-01..2025-12-31",
|
| 1889 |
+
"query_id": "recall.social-media-analysis",
|
| 1890 |
+
"repositories_observed_on_last_page": 100,
|
| 1891 |
+
"sampled_first_page": true,
|
| 1892 |
+
"search_limit_reached": false,
|
| 1893 |
+
"status": "sampled",
|
| 1894 |
+
"total_count": 439,
|
| 1895 |
+
"year": 2025
|
| 1896 |
+
},
|
| 1897 |
+
{
|
| 1898 |
+
"coverage_gap": true,
|
| 1899 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1900 |
+
"incomplete_results": false,
|
| 1901 |
+
"pages_scanned": 1,
|
| 1902 |
+
"query": "\"uncertainty quantification\" in:description created:2025-01-01..2025-12-31",
|
| 1903 |
+
"query_id": "trust.uncertainty-quantification",
|
| 1904 |
+
"repositories_observed_on_last_page": 100,
|
| 1905 |
+
"sampled_first_page": true,
|
| 1906 |
+
"search_limit_reached": false,
|
| 1907 |
+
"status": "sampled",
|
| 1908 |
+
"total_count": 437,
|
| 1909 |
+
"year": 2025
|
| 1910 |
+
},
|
| 1911 |
+
{
|
| 1912 |
+
"coverage_gap": true,
|
| 1913 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1914 |
+
"incomplete_results": false,
|
| 1915 |
+
"pages_scanned": 1,
|
| 1916 |
+
"query": "\"search ranking\" in:readme created:2025-01-01..2025-12-31",
|
| 1917 |
+
"query_id": "applied.search-ranking",
|
| 1918 |
+
"repositories_observed_on_last_page": 100,
|
| 1919 |
+
"sampled_first_page": true,
|
| 1920 |
+
"search_limit_reached": true,
|
| 1921 |
+
"status": "sampled",
|
| 1922 |
+
"total_count": 2784,
|
| 1923 |
+
"year": 2025
|
| 1924 |
+
},
|
| 1925 |
+
{
|
| 1926 |
+
"coverage_gap": true,
|
| 1927 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1928 |
+
"incomplete_results": false,
|
| 1929 |
+
"pages_scanned": 1,
|
| 1930 |
+
"query": "\"neural processes\" in:description,readme created:2025-01-01..2025-12-31",
|
| 1931 |
+
"query_id": "general.neural-processes",
|
| 1932 |
+
"repositories_observed_on_last_page": 100,
|
| 1933 |
+
"sampled_first_page": true,
|
| 1934 |
+
"search_limit_reached": true,
|
| 1935 |
+
"status": "sampled",
|
| 1936 |
+
"total_count": 1084,
|
| 1937 |
+
"year": 2025
|
| 1938 |
+
},
|
| 1939 |
+
{
|
| 1940 |
+
"coverage_gap": true,
|
| 1941 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1942 |
+
"incomplete_results": false,
|
| 1943 |
+
"pages_scanned": 1,
|
| 1944 |
+
"query": "\"sports analytics\" model in:name,description,readme created:2025-01-01..2025-12-31",
|
| 1945 |
+
"query_id": "recall.sports-analytics",
|
| 1946 |
+
"repositories_observed_on_last_page": 100,
|
| 1947 |
+
"sampled_first_page": true,
|
| 1948 |
+
"search_limit_reached": true,
|
| 1949 |
+
"status": "sampled",
|
| 1950 |
+
"total_count": 2992,
|
| 1951 |
+
"year": 2025
|
| 1952 |
+
},
|
| 1953 |
+
{
|
| 1954 |
+
"coverage_gap": true,
|
| 1955 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1956 |
+
"incomplete_results": false,
|
| 1957 |
+
"pages_scanned": 1,
|
| 1958 |
+
"query": "\"species distribution modeling\" in:description,readme created:2025-01-01..2025-12-31",
|
| 1959 |
+
"query_id": "applied.species-distribution-modeling",
|
| 1960 |
+
"repositories_observed_on_last_page": 100,
|
| 1961 |
+
"sampled_first_page": true,
|
| 1962 |
+
"search_limit_reached": false,
|
| 1963 |
+
"status": "sampled",
|
| 1964 |
+
"total_count": 465,
|
| 1965 |
+
"year": 2025
|
| 1966 |
+
},
|
| 1967 |
+
{
|
| 1968 |
+
"coverage_gap": true,
|
| 1969 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1970 |
+
"incomplete_results": false,
|
| 1971 |
+
"pages_scanned": 1,
|
| 1972 |
+
"query": "\"normalizing flows\" \"machine learning\" in:description,readme created:2025-01-01..2025-12-31",
|
| 1973 |
+
"query_id": "general.normalizing-flows",
|
| 1974 |
+
"repositories_observed_on_last_page": 100,
|
| 1975 |
+
"sampled_first_page": true,
|
| 1976 |
+
"search_limit_reached": false,
|
| 1977 |
+
"status": "sampled",
|
| 1978 |
+
"total_count": 277,
|
| 1979 |
+
"year": 2025
|
| 1980 |
+
},
|
| 1981 |
+
{
|
| 1982 |
+
"coverage_gap": true,
|
| 1983 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1984 |
+
"incomplete_results": false,
|
| 1985 |
+
"pages_scanned": 1,
|
| 1986 |
+
"query": "\"structural health monitoring\" machine learning in:name,description,readme created:2025-01-01..2025-12-31",
|
| 1987 |
+
"query_id": "recall.structural-health-monitoring",
|
| 1988 |
+
"repositories_observed_on_last_page": 100,
|
| 1989 |
+
"sampled_first_page": true,
|
| 1990 |
+
"search_limit_reached": false,
|
| 1991 |
+
"status": "sampled",
|
| 1992 |
+
"total_count": 181,
|
| 1993 |
+
"year": 2025
|
| 1994 |
+
},
|
| 1995 |
+
{
|
| 1996 |
+
"coverage_gap": true,
|
| 1997 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 1998 |
+
"incomplete_results": false,
|
| 1999 |
+
"pages_scanned": 1,
|
| 2000 |
+
"query": "\"supply chain optimization\" in:readme created:2025-01-01..2025-12-31",
|
| 2001 |
+
"query_id": "applied.supply-chain-optimization",
|
| 2002 |
+
"repositories_observed_on_last_page": 100,
|
| 2003 |
+
"sampled_first_page": true,
|
| 2004 |
+
"search_limit_reached": true,
|
| 2005 |
+
"status": "sampled",
|
| 2006 |
+
"total_count": 3570,
|
| 2007 |
+
"year": 2025
|
| 2008 |
+
},
|
| 2009 |
+
{
|
| 2010 |
+
"coverage_gap": true,
|
| 2011 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2012 |
+
"incomplete_results": false,
|
| 2013 |
+
"pages_scanned": 1,
|
| 2014 |
+
"query": "\"novel method\" in:description created:2025-01-01..2025-12-31",
|
| 2015 |
+
"query_id": "general.novel-method",
|
| 2016 |
+
"repositories_observed_on_last_page": 100,
|
| 2017 |
+
"sampled_first_page": true,
|
| 2018 |
+
"search_limit_reached": false,
|
| 2019 |
+
"status": "sampled",
|
| 2020 |
+
"total_count": 105,
|
| 2021 |
+
"year": 2025
|
| 2022 |
+
},
|
| 2023 |
+
{
|
| 2024 |
+
"coverage_gap": true,
|
| 2025 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2026 |
+
"incomplete_results": false,
|
| 2027 |
+
"pages_scanned": 1,
|
| 2028 |
+
"query": "\"student performance prediction\" in:name,description,readme created:2025-01-01..2025-12-31",
|
| 2029 |
+
"query_id": "recall.student-performance-prediction",
|
| 2030 |
+
"repositories_observed_on_last_page": 100,
|
| 2031 |
+
"sampled_first_page": true,
|
| 2032 |
+
"search_limit_reached": true,
|
| 2033 |
+
"status": "sampled",
|
| 2034 |
+
"total_count": 3694,
|
| 2035 |
+
"year": 2025
|
| 2036 |
+
},
|
| 2037 |
+
{
|
| 2038 |
+
"coverage_gap": true,
|
| 2039 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2040 |
+
"incomplete_results": false,
|
| 2041 |
+
"pages_scanned": 1,
|
| 2042 |
+
"query": "\"tabular data\" in:readme created:2025-01-01..2025-12-31",
|
| 2043 |
+
"query_id": "applied.tabular-ml",
|
| 2044 |
+
"repositories_observed_on_last_page": 100,
|
| 2045 |
+
"sampled_first_page": true,
|
| 2046 |
+
"search_limit_reached": true,
|
| 2047 |
+
"status": "sampled",
|
| 2048 |
+
"total_count": 18067,
|
| 2049 |
+
"year": 2025
|
| 2050 |
+
},
|
| 2051 |
+
{
|
| 2052 |
+
"coverage_gap": true,
|
| 2053 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2054 |
+
"incomplete_results": false,
|
| 2055 |
+
"pages_scanned": 1,
|
| 2056 |
+
"query": "\"paper implementation\" in:description created:2025-01-01..2025-12-31",
|
| 2057 |
+
"query_id": "general.paper-implementation",
|
| 2058 |
+
"repositories_observed_on_last_page": 100,
|
| 2059 |
+
"sampled_first_page": true,
|
| 2060 |
+
"search_limit_reached": false,
|
| 2061 |
+
"status": "sampled",
|
| 2062 |
+
"total_count": 175,
|
| 2063 |
+
"year": 2025
|
| 2064 |
+
},
|
| 2065 |
+
{
|
| 2066 |
+
"coverage_gap": false,
|
| 2067 |
+
"coverage_gap_reason": null,
|
| 2068 |
+
"incomplete_results": false,
|
| 2069 |
+
"pages_scanned": 1,
|
| 2070 |
+
"query": "\"time series forecasting\" manufacturing in:description created:2025-01-01..2025-12-31",
|
| 2071 |
+
"query_id": "applied.time-series-forecasting",
|
| 2072 |
+
"repositories_observed_on_last_page": 1,
|
| 2073 |
+
"sampled_first_page": true,
|
| 2074 |
+
"search_limit_reached": false,
|
| 2075 |
+
"status": "complete",
|
| 2076 |
+
"total_count": 1,
|
| 2077 |
+
"year": 2025
|
| 2078 |
+
},
|
| 2079 |
+
{
|
| 2080 |
+
"coverage_gap": true,
|
| 2081 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2082 |
+
"incomplete_results": false,
|
| 2083 |
+
"pages_scanned": 1,
|
| 2084 |
+
"query": "\"probabilistic programming\" in:description,readme created:2025-01-01..2025-12-31",
|
| 2085 |
+
"query_id": "general.probabilistic-programming",
|
| 2086 |
+
"repositories_observed_on_last_page": 100,
|
| 2087 |
+
"sampled_first_page": true,
|
| 2088 |
+
"search_limit_reached": false,
|
| 2089 |
+
"status": "sampled",
|
| 2090 |
+
"total_count": 723,
|
| 2091 |
+
"year": 2025
|
| 2092 |
+
},
|
| 2093 |
+
{
|
| 2094 |
+
"coverage_gap": true,
|
| 2095 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2096 |
+
"incomplete_results": false,
|
| 2097 |
+
"pages_scanned": 1,
|
| 2098 |
+
"query": "\"traffic prediction\" \"machine learning\" in:description,readme created:2025-01-01..2025-12-31",
|
| 2099 |
+
"query_id": "applied.traffic-prediction",
|
| 2100 |
+
"repositories_observed_on_last_page": 100,
|
| 2101 |
+
"sampled_first_page": true,
|
| 2102 |
+
"search_limit_reached": true,
|
| 2103 |
+
"status": "sampled",
|
| 2104 |
+
"total_count": 1105,
|
| 2105 |
+
"year": 2025
|
| 2106 |
+
},
|
| 2107 |
+
{
|
| 2108 |
+
"coverage_gap": true,
|
| 2109 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2110 |
+
"incomplete_results": false,
|
| 2111 |
+
"pages_scanned": 1,
|
| 2112 |
+
"query": "\"random forest\" in:description created:2025-01-01..2025-12-31",
|
| 2113 |
+
"query_id": "general.random-forest",
|
| 2114 |
+
"repositories_observed_on_last_page": 100,
|
| 2115 |
+
"sampled_first_page": true,
|
| 2116 |
+
"search_limit_reached": true,
|
| 2117 |
+
"status": "sampled",
|
| 2118 |
+
"total_count": 25086,
|
| 2119 |
+
"year": 2025
|
| 2120 |
+
},
|
| 2121 |
+
{
|
| 2122 |
+
"coverage_gap": false,
|
| 2123 |
+
"coverage_gap_reason": null,
|
| 2124 |
+
"incomplete_results": false,
|
| 2125 |
+
"pages_scanned": 1,
|
| 2126 |
+
"query": "\"uplift modeling\" in:description created:2025-01-01..2025-12-31",
|
| 2127 |
+
"query_id": "applied.uplift-modeling",
|
| 2128 |
+
"repositories_observed_on_last_page": 80,
|
| 2129 |
+
"sampled_first_page": true,
|
| 2130 |
+
"search_limit_reached": false,
|
| 2131 |
+
"status": "complete",
|
| 2132 |
+
"total_count": 80,
|
| 2133 |
+
"year": 2025
|
| 2134 |
+
},
|
| 2135 |
+
{
|
| 2136 |
+
"coverage_gap": true,
|
| 2137 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2138 |
+
"incomplete_results": false,
|
| 2139 |
+
"pages_scanned": 1,
|
| 2140 |
+
"query": "\"research code\" \"machine learning\" in:description,readme created:2025-01-01..2025-12-31",
|
| 2141 |
+
"query_id": "general.research-code",
|
| 2142 |
+
"repositories_observed_on_last_page": 99,
|
| 2143 |
+
"sampled_first_page": true,
|
| 2144 |
+
"search_limit_reached": false,
|
| 2145 |
+
"status": "sampled",
|
| 2146 |
+
"total_count": 613,
|
| 2147 |
+
"year": 2025
|
| 2148 |
+
},
|
| 2149 |
+
{
|
| 2150 |
+
"coverage_gap": true,
|
| 2151 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2152 |
+
"incomplete_results": false,
|
| 2153 |
+
"pages_scanned": 1,
|
| 2154 |
+
"query": "\"self-supervised learning\" in:description created:2025-01-01..2025-12-31",
|
| 2155 |
+
"query_id": "general.self-supervised-learning",
|
| 2156 |
+
"repositories_observed_on_last_page": 100,
|
| 2157 |
+
"sampled_first_page": true,
|
| 2158 |
+
"search_limit_reached": false,
|
| 2159 |
+
"status": "sampled",
|
| 2160 |
+
"total_count": 404,
|
| 2161 |
+
"year": 2025
|
| 2162 |
+
},
|
| 2163 |
+
{
|
| 2164 |
+
"coverage_gap": true,
|
| 2165 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2166 |
+
"incomplete_results": false,
|
| 2167 |
+
"pages_scanned": 1,
|
| 2168 |
+
"query": "\"semi-supervised learning\" in:description,readme created:2025-01-01..2025-12-31",
|
| 2169 |
+
"query_id": "general.semi-supervised-learning",
|
| 2170 |
+
"repositories_observed_on_last_page": 100,
|
| 2171 |
+
"sampled_first_page": true,
|
| 2172 |
+
"search_limit_reached": true,
|
| 2173 |
+
"status": "sampled",
|
| 2174 |
+
"total_count": 2316,
|
| 2175 |
+
"year": 2025
|
| 2176 |
+
},
|
| 2177 |
+
{
|
| 2178 |
+
"coverage_gap": true,
|
| 2179 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2180 |
+
"incomplete_results": false,
|
| 2181 |
+
"pages_scanned": 1,
|
| 2182 |
+
"query": "\"support vector machine\" in:description created:2025-01-01..2025-12-31",
|
| 2183 |
+
"query_id": "general.support-vector-machine",
|
| 2184 |
+
"repositories_observed_on_last_page": 100,
|
| 2185 |
+
"sampled_first_page": true,
|
| 2186 |
+
"search_limit_reached": true,
|
| 2187 |
+
"status": "sampled",
|
| 2188 |
+
"total_count": 2367,
|
| 2189 |
+
"year": 2025
|
| 2190 |
+
},
|
| 2191 |
+
{
|
| 2192 |
+
"coverage_gap": true,
|
| 2193 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2194 |
+
"incomplete_results": false,
|
| 2195 |
+
"pages_scanned": 1,
|
| 2196 |
+
"query": "topic:artificial-intelligence created:2025-01-01..2025-12-31",
|
| 2197 |
+
"query_id": "general.topic-artificial-intelligence",
|
| 2198 |
+
"repositories_observed_on_last_page": 100,
|
| 2199 |
+
"sampled_first_page": true,
|
| 2200 |
+
"search_limit_reached": true,
|
| 2201 |
+
"status": "sampled",
|
| 2202 |
+
"total_count": 7518,
|
| 2203 |
+
"year": 2025
|
| 2204 |
+
},
|
| 2205 |
+
{
|
| 2206 |
+
"coverage_gap": true,
|
| 2207 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2208 |
+
"incomplete_results": false,
|
| 2209 |
+
"pages_scanned": 1,
|
| 2210 |
+
"query": "topic:deep-learning created:2025-01-01..2025-12-31",
|
| 2211 |
+
"query_id": "general.topic-deep-learning",
|
| 2212 |
+
"repositories_observed_on_last_page": 100,
|
| 2213 |
+
"sampled_first_page": true,
|
| 2214 |
+
"search_limit_reached": true,
|
| 2215 |
+
"status": "sampled",
|
| 2216 |
+
"total_count": 13474,
|
| 2217 |
+
"year": 2025
|
| 2218 |
+
},
|
| 2219 |
+
{
|
| 2220 |
+
"coverage_gap": true,
|
| 2221 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2222 |
+
"incomplete_results": false,
|
| 2223 |
+
"pages_scanned": 1,
|
| 2224 |
+
"query": "topic:machine-learning created:2025-01-01..2025-12-31",
|
| 2225 |
+
"query_id": "general.topic-machine-learning",
|
| 2226 |
+
"repositories_observed_on_last_page": 100,
|
| 2227 |
+
"sampled_first_page": true,
|
| 2228 |
+
"search_limit_reached": true,
|
| 2229 |
+
"status": "sampled",
|
| 2230 |
+
"total_count": 35521,
|
| 2231 |
+
"year": 2025
|
| 2232 |
+
},
|
| 2233 |
+
{
|
| 2234 |
+
"coverage_gap": true,
|
| 2235 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2236 |
+
"incomplete_results": false,
|
| 2237 |
+
"pages_scanned": 1,
|
| 2238 |
+
"query": "\"transfer learning\" in:description,readme created:2025-01-01..2025-12-31",
|
| 2239 |
+
"query_id": "general.transfer-learning",
|
| 2240 |
+
"repositories_observed_on_last_page": 100,
|
| 2241 |
+
"sampled_first_page": true,
|
| 2242 |
+
"search_limit_reached": true,
|
| 2243 |
+
"status": "sampled",
|
| 2244 |
+
"total_count": 50670,
|
| 2245 |
+
"year": 2025
|
| 2246 |
+
},
|
| 2247 |
+
{
|
| 2248 |
+
"coverage_gap": true,
|
| 2249 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2250 |
+
"incomplete_results": false,
|
| 2251 |
+
"pages_scanned": 1,
|
| 2252 |
+
"query": "\"weak supervision\" \"machine learning\" in:description,readme created:2025-01-01..2025-12-31",
|
| 2253 |
+
"query_id": "general.weak-supervision",
|
| 2254 |
+
"repositories_observed_on_last_page": 100,
|
| 2255 |
+
"sampled_first_page": true,
|
| 2256 |
+
"search_limit_reached": false,
|
| 2257 |
+
"status": "sampled",
|
| 2258 |
+
"total_count": 582,
|
| 2259 |
+
"year": 2025
|
| 2260 |
+
},
|
| 2261 |
+
{
|
| 2262 |
+
"coverage_gap": false,
|
| 2263 |
+
"coverage_gap_reason": null,
|
| 2264 |
+
"incomplete_results": false,
|
| 2265 |
+
"pages_scanned": 1,
|
| 2266 |
+
"query": "\"ad ranking\" in:description created:2024-01-01..2024-12-31",
|
| 2267 |
+
"query_id": "applied.ad-ranking",
|
| 2268 |
+
"repositories_observed_on_last_page": 0,
|
| 2269 |
+
"sampled_first_page": true,
|
| 2270 |
+
"search_limit_reached": false,
|
| 2271 |
+
"status": "complete",
|
| 2272 |
+
"total_count": 0,
|
| 2273 |
+
"year": 2024
|
| 2274 |
+
},
|
| 2275 |
+
{
|
| 2276 |
+
"coverage_gap": false,
|
| 2277 |
+
"coverage_gap_reason": null,
|
| 2278 |
+
"incomplete_results": false,
|
| 2279 |
+
"pages_scanned": 1,
|
| 2280 |
+
"query": "\"acoustic scene classification\" in:readme created:2024-01-01..2024-12-31",
|
| 2281 |
+
"query_id": "audio-acoustic-event-classification",
|
| 2282 |
+
"repositories_observed_on_last_page": 40,
|
| 2283 |
+
"sampled_first_page": true,
|
| 2284 |
+
"search_limit_reached": false,
|
| 2285 |
+
"status": "complete",
|
| 2286 |
+
"total_count": 40,
|
| 2287 |
+
"year": 2024
|
| 2288 |
+
},
|
| 2289 |
+
{
|
| 2290 |
+
"coverage_gap": false,
|
| 2291 |
+
"coverage_gap_reason": null,
|
| 2292 |
+
"incomplete_results": false,
|
| 2293 |
+
"pages_scanned": 1,
|
| 2294 |
+
"query": "\"audio anomaly detection\" in:readme created:2024-01-01..2024-12-31",
|
| 2295 |
+
"query_id": "audio-anomaly-detection",
|
| 2296 |
+
"repositories_observed_on_last_page": 10,
|
| 2297 |
+
"sampled_first_page": true,
|
| 2298 |
+
"search_limit_reached": false,
|
| 2299 |
+
"status": "complete",
|
| 2300 |
+
"total_count": 10,
|
| 2301 |
+
"year": 2024
|
| 2302 |
+
},
|
| 2303 |
+
{
|
| 2304 |
+
"coverage_gap": true,
|
| 2305 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2306 |
+
"incomplete_results": false,
|
| 2307 |
+
"pages_scanned": 1,
|
| 2308 |
+
"query": "\"automatic speech recognition\" in:readme created:2024-01-01..2024-12-31",
|
| 2309 |
+
"query_id": "audio-asr",
|
| 2310 |
+
"repositories_observed_on_last_page": 100,
|
| 2311 |
+
"sampled_first_page": true,
|
| 2312 |
+
"search_limit_reached": true,
|
| 2313 |
+
"status": "sampled",
|
| 2314 |
+
"total_count": 2322,
|
| 2315 |
+
"year": 2024
|
| 2316 |
+
},
|
| 2317 |
+
{
|
| 2318 |
+
"coverage_gap": true,
|
| 2319 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2320 |
+
"incomplete_results": false,
|
| 2321 |
+
"pages_scanned": 1,
|
| 2322 |
+
"query": "\"audio captioning\" in:readme created:2024-01-01..2024-12-31",
|
| 2323 |
+
"query_id": "audio-audio-captioning",
|
| 2324 |
+
"repositories_observed_on_last_page": 100,
|
| 2325 |
+
"sampled_first_page": true,
|
| 2326 |
+
"search_limit_reached": false,
|
| 2327 |
+
"status": "sampled",
|
| 2328 |
+
"total_count": 166,
|
| 2329 |
+
"year": 2024
|
| 2330 |
+
},
|
| 2331 |
+
{
|
| 2332 |
+
"coverage_gap": true,
|
| 2333 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2334 |
+
"incomplete_results": false,
|
| 2335 |
+
"pages_scanned": 1,
|
| 2336 |
+
"query": "\"audio classification\" in:readme created:2024-01-01..2024-12-31",
|
| 2337 |
+
"query_id": "audio-audio-classification",
|
| 2338 |
+
"repositories_observed_on_last_page": 100,
|
| 2339 |
+
"sampled_first_page": true,
|
| 2340 |
+
"search_limit_reached": true,
|
| 2341 |
+
"status": "sampled",
|
| 2342 |
+
"total_count": 1311,
|
| 2343 |
+
"year": 2024
|
| 2344 |
+
},
|
| 2345 |
+
{
|
| 2346 |
+
"coverage_gap": false,
|
| 2347 |
+
"coverage_gap_reason": null,
|
| 2348 |
+
"incomplete_results": false,
|
| 2349 |
+
"pages_scanned": 1,
|
| 2350 |
+
"query": "\"audio question answering\" in:readme created:2024-01-01..2024-12-31",
|
| 2351 |
+
"query_id": "audio-audio-question-answering",
|
| 2352 |
+
"repositories_observed_on_last_page": 25,
|
| 2353 |
+
"sampled_first_page": true,
|
| 2354 |
+
"search_limit_reached": false,
|
| 2355 |
+
"status": "complete",
|
| 2356 |
+
"total_count": 25,
|
| 2357 |
+
"year": 2024
|
| 2358 |
+
},
|
| 2359 |
+
{
|
| 2360 |
+
"coverage_gap": false,
|
| 2361 |
+
"coverage_gap_reason": null,
|
| 2362 |
+
"incomplete_results": false,
|
| 2363 |
+
"pages_scanned": 1,
|
| 2364 |
+
"query": "\"audio super-resolution\" in:readme created:2024-01-01..2024-12-31",
|
| 2365 |
+
"query_id": "audio-audio-super-resolution",
|
| 2366 |
+
"repositories_observed_on_last_page": 32,
|
| 2367 |
+
"sampled_first_page": true,
|
| 2368 |
+
"search_limit_reached": false,
|
| 2369 |
+
"status": "complete",
|
| 2370 |
+
"total_count": 32,
|
| 2371 |
+
"year": 2024
|
| 2372 |
+
},
|
| 2373 |
+
{
|
| 2374 |
+
"coverage_gap": true,
|
| 2375 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2376 |
+
"incomplete_results": false,
|
| 2377 |
+
"pages_scanned": 1,
|
| 2378 |
+
"query": "\"audio generation\" in:readme created:2024-01-01..2024-12-31",
|
| 2379 |
+
"query_id": "audio-generation",
|
| 2380 |
+
"repositories_observed_on_last_page": 100,
|
| 2381 |
+
"sampled_first_page": true,
|
| 2382 |
+
"search_limit_reached": true,
|
| 2383 |
+
"status": "sampled",
|
| 2384 |
+
"total_count": 1464,
|
| 2385 |
+
"year": 2024
|
| 2386 |
+
},
|
| 2387 |
+
{
|
| 2388 |
+
"coverage_gap": true,
|
| 2389 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2390 |
+
"incomplete_results": false,
|
| 2391 |
+
"pages_scanned": 1,
|
| 2392 |
+
"query": "\"keyword spotting\" audio in:readme created:2024-01-01..2024-12-31",
|
| 2393 |
+
"query_id": "audio-keyword-spotting",
|
| 2394 |
+
"repositories_observed_on_last_page": 100,
|
| 2395 |
+
"sampled_first_page": true,
|
| 2396 |
+
"search_limit_reached": false,
|
| 2397 |
+
"status": "sampled",
|
| 2398 |
+
"total_count": 264,
|
| 2399 |
+
"year": 2024
|
| 2400 |
+
},
|
| 2401 |
+
{
|
| 2402 |
+
"coverage_gap": true,
|
| 2403 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2404 |
+
"incomplete_results": false,
|
| 2405 |
+
"pages_scanned": 1,
|
| 2406 |
+
"query": "\"music generation\" in:readme created:2024-01-01..2024-12-31",
|
| 2407 |
+
"query_id": "audio-music-generation",
|
| 2408 |
+
"repositories_observed_on_last_page": 100,
|
| 2409 |
+
"sampled_first_page": true,
|
| 2410 |
+
"search_limit_reached": true,
|
| 2411 |
+
"status": "sampled",
|
| 2412 |
+
"total_count": 2034,
|
| 2413 |
+
"year": 2024
|
| 2414 |
+
},
|
| 2415 |
+
{
|
| 2416 |
+
"coverage_gap": true,
|
| 2417 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2418 |
+
"incomplete_results": false,
|
| 2419 |
+
"pages_scanned": 1,
|
| 2420 |
+
"query": "\"music information retrieval\" in:readme created:2024-01-01..2024-12-31",
|
| 2421 |
+
"query_id": "audio-music-information-retrieval",
|
| 2422 |
+
"repositories_observed_on_last_page": 100,
|
| 2423 |
+
"sampled_first_page": true,
|
| 2424 |
+
"search_limit_reached": false,
|
| 2425 |
+
"status": "sampled",
|
| 2426 |
+
"total_count": 447,
|
| 2427 |
+
"year": 2024
|
| 2428 |
+
},
|
| 2429 |
+
{
|
| 2430 |
+
"coverage_gap": true,
|
| 2431 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2432 |
+
"incomplete_results": false,
|
| 2433 |
+
"pages_scanned": 1,
|
| 2434 |
+
"query": "\"music recommendation\" in:readme created:2024-01-01..2024-12-31",
|
| 2435 |
+
"query_id": "audio-music-recommendation",
|
| 2436 |
+
"repositories_observed_on_last_page": 100,
|
| 2437 |
+
"sampled_first_page": true,
|
| 2438 |
+
"search_limit_reached": true,
|
| 2439 |
+
"status": "sampled",
|
| 2440 |
+
"total_count": 3508,
|
| 2441 |
+
"year": 2024
|
| 2442 |
+
},
|
| 2443 |
+
{
|
| 2444 |
+
"coverage_gap": true,
|
| 2445 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2446 |
+
"incomplete_results": false,
|
| 2447 |
+
"pages_scanned": 1,
|
| 2448 |
+
"query": "\"music source separation\" in:readme created:2024-01-01..2024-12-31",
|
| 2449 |
+
"query_id": "audio-music-source-separation",
|
| 2450 |
+
"repositories_observed_on_last_page": 100,
|
| 2451 |
+
"sampled_first_page": true,
|
| 2452 |
+
"search_limit_reached": false,
|
| 2453 |
+
"status": "sampled",
|
| 2454 |
+
"total_count": 167,
|
| 2455 |
+
"year": 2024
|
| 2456 |
+
},
|
| 2457 |
+
{
|
| 2458 |
+
"coverage_gap": false,
|
| 2459 |
+
"coverage_gap_reason": null,
|
| 2460 |
+
"incomplete_results": false,
|
| 2461 |
+
"pages_scanned": 1,
|
| 2462 |
+
"query": "\"automatic music transcription\" in:readme created:2024-01-01..2024-12-31",
|
| 2463 |
+
"query_id": "audio-music-transcription",
|
| 2464 |
+
"repositories_observed_on_last_page": 45,
|
| 2465 |
+
"sampled_first_page": true,
|
| 2466 |
+
"search_limit_reached": false,
|
| 2467 |
+
"status": "complete",
|
| 2468 |
+
"total_count": 45,
|
| 2469 |
+
"year": 2024
|
| 2470 |
+
},
|
| 2471 |
+
{
|
| 2472 |
+
"coverage_gap": true,
|
| 2473 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2474 |
+
"incomplete_results": false,
|
| 2475 |
+
"pages_scanned": 1,
|
| 2476 |
+
"query": "\"neural audio codec\" in:readme created:2024-01-01..2024-12-31",
|
| 2477 |
+
"query_id": "audio-neural-codec",
|
| 2478 |
+
"repositories_observed_on_last_page": 100,
|
| 2479 |
+
"sampled_first_page": true,
|
| 2480 |
+
"search_limit_reached": false,
|
| 2481 |
+
"status": "sampled",
|
| 2482 |
+
"total_count": 101,
|
| 2483 |
+
"year": 2024
|
| 2484 |
+
},
|
| 2485 |
+
{
|
| 2486 |
+
"coverage_gap": true,
|
| 2487 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2488 |
+
"incomplete_results": false,
|
| 2489 |
+
"pages_scanned": 1,
|
| 2490 |
+
"query": "\"sound event detection\" in:readme created:2024-01-01..2024-12-31",
|
| 2491 |
+
"query_id": "audio-sound-event-detection",
|
| 2492 |
+
"repositories_observed_on_last_page": 100,
|
| 2493 |
+
"sampled_first_page": true,
|
| 2494 |
+
"search_limit_reached": false,
|
| 2495 |
+
"status": "sampled",
|
| 2496 |
+
"total_count": 122,
|
| 2497 |
+
"year": 2024
|
| 2498 |
+
},
|
| 2499 |
+
{
|
| 2500 |
+
"coverage_gap": true,
|
| 2501 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2502 |
+
"incomplete_results": false,
|
| 2503 |
+
"pages_scanned": 1,
|
| 2504 |
+
"query": "\"audio source separation\" in:readme created:2024-01-01..2024-12-31",
|
| 2505 |
+
"query_id": "audio-source-separation",
|
| 2506 |
+
"repositories_observed_on_last_page": 100,
|
| 2507 |
+
"sampled_first_page": true,
|
| 2508 |
+
"search_limit_reached": false,
|
| 2509 |
+
"status": "sampled",
|
| 2510 |
+
"total_count": 127,
|
| 2511 |
+
"year": 2024
|
| 2512 |
+
},
|
| 2513 |
+
{
|
| 2514 |
+
"coverage_gap": true,
|
| 2515 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2516 |
+
"incomplete_results": false,
|
| 2517 |
+
"pages_scanned": 1,
|
| 2518 |
+
"query": "\"speaker diarization\" in:readme created:2024-01-01..2024-12-31",
|
| 2519 |
+
"query_id": "audio-speaker-diarization",
|
| 2520 |
+
"repositories_observed_on_last_page": 100,
|
| 2521 |
+
"sampled_first_page": true,
|
| 2522 |
+
"search_limit_reached": true,
|
| 2523 |
+
"status": "sampled",
|
| 2524 |
+
"total_count": 1037,
|
| 2525 |
+
"year": 2024
|
| 2526 |
+
},
|
| 2527 |
+
{
|
| 2528 |
+
"coverage_gap": true,
|
| 2529 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2530 |
+
"incomplete_results": false,
|
| 2531 |
+
"pages_scanned": 1,
|
| 2532 |
+
"query": "\"speaker verification\" in:readme created:2024-01-01..2024-12-31",
|
| 2533 |
+
"query_id": "audio-speaker-verification",
|
| 2534 |
+
"repositories_observed_on_last_page": 100,
|
| 2535 |
+
"sampled_first_page": true,
|
| 2536 |
+
"search_limit_reached": false,
|
| 2537 |
+
"status": "sampled",
|
| 2538 |
+
"total_count": 427,
|
| 2539 |
+
"year": 2024
|
| 2540 |
+
},
|
| 2541 |
+
{
|
| 2542 |
+
"coverage_gap": true,
|
| 2543 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2544 |
+
"incomplete_results": false,
|
| 2545 |
+
"pages_scanned": 1,
|
| 2546 |
+
"query": "\"speech emotion recognition\" in:readme created:2024-01-01..2024-12-31",
|
| 2547 |
+
"query_id": "audio-speech-emotion-recognition",
|
| 2548 |
+
"repositories_observed_on_last_page": 100,
|
| 2549 |
+
"sampled_first_page": true,
|
| 2550 |
+
"search_limit_reached": true,
|
| 2551 |
+
"status": "sampled",
|
| 2552 |
+
"total_count": 1352,
|
| 2553 |
+
"year": 2024
|
| 2554 |
+
},
|
| 2555 |
+
{
|
| 2556 |
+
"coverage_gap": true,
|
| 2557 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2558 |
+
"incomplete_results": false,
|
| 2559 |
+
"pages_scanned": 1,
|
| 2560 |
+
"query": "\"speech enhancement\" in:readme created:2024-01-01..2024-12-31",
|
| 2561 |
+
"query_id": "audio-speech-enhancement",
|
| 2562 |
+
"repositories_observed_on_last_page": 100,
|
| 2563 |
+
"sampled_first_page": true,
|
| 2564 |
+
"search_limit_reached": false,
|
| 2565 |
+
"status": "sampled",
|
| 2566 |
+
"total_count": 624,
|
| 2567 |
+
"year": 2024
|
| 2568 |
+
},
|
| 2569 |
+
{
|
| 2570 |
+
"coverage_gap": true,
|
| 2571 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2572 |
+
"incomplete_results": false,
|
| 2573 |
+
"pages_scanned": 1,
|
| 2574 |
+
"query": "\"speech synthesis\" in:readme created:2024-01-01..2024-12-31",
|
| 2575 |
+
"query_id": "audio-speech-synthesis",
|
| 2576 |
+
"repositories_observed_on_last_page": 100,
|
| 2577 |
+
"sampled_first_page": true,
|
| 2578 |
+
"search_limit_reached": true,
|
| 2579 |
+
"status": "sampled",
|
| 2580 |
+
"total_count": 4151,
|
| 2581 |
+
"year": 2024
|
| 2582 |
+
},
|
| 2583 |
+
{
|
| 2584 |
+
"coverage_gap": true,
|
| 2585 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2586 |
+
"incomplete_results": false,
|
| 2587 |
+
"pages_scanned": 1,
|
| 2588 |
+
"query": "\"speech to text\" in:readme created:2024-01-01..2024-12-31",
|
| 2589 |
+
"query_id": "audio-speech-to-text",
|
| 2590 |
+
"repositories_observed_on_last_page": 100,
|
| 2591 |
+
"sampled_first_page": true,
|
| 2592 |
+
"search_limit_reached": true,
|
| 2593 |
+
"status": "sampled",
|
| 2594 |
+
"total_count": 14176,
|
| 2595 |
+
"year": 2024
|
| 2596 |
+
},
|
| 2597 |
+
{
|
| 2598 |
+
"coverage_gap": true,
|
| 2599 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2600 |
+
"incomplete_results": false,
|
| 2601 |
+
"pages_scanned": 1,
|
| 2602 |
+
"query": "\"speech translation\" in:readme created:2024-01-01..2024-12-31",
|
| 2603 |
+
"query_id": "audio-speech-translation",
|
| 2604 |
+
"repositories_observed_on_last_page": 100,
|
| 2605 |
+
"sampled_first_page": true,
|
| 2606 |
+
"search_limit_reached": false,
|
| 2607 |
+
"status": "sampled",
|
| 2608 |
+
"total_count": 962,
|
| 2609 |
+
"year": 2024
|
| 2610 |
+
},
|
| 2611 |
+
{
|
| 2612 |
+
"coverage_gap": true,
|
| 2613 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2614 |
+
"incomplete_results": false,
|
| 2615 |
+
"pages_scanned": 1,
|
| 2616 |
+
"query": "\"text to audio\" in:readme created:2024-01-01..2024-12-31",
|
| 2617 |
+
"query_id": "audio-text-to-audio",
|
| 2618 |
+
"repositories_observed_on_last_page": 100,
|
| 2619 |
+
"sampled_first_page": true,
|
| 2620 |
+
"search_limit_reached": true,
|
| 2621 |
+
"status": "sampled",
|
| 2622 |
+
"total_count": 1244,
|
| 2623 |
+
"year": 2024
|
| 2624 |
+
},
|
| 2625 |
+
{
|
| 2626 |
+
"coverage_gap": true,
|
| 2627 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2628 |
+
"incomplete_results": false,
|
| 2629 |
+
"pages_scanned": 1,
|
| 2630 |
+
"query": "\"text to speech\" in:readme created:2024-01-01..2024-12-31",
|
| 2631 |
+
"query_id": "audio-text-to-speech",
|
| 2632 |
+
"repositories_observed_on_last_page": 100,
|
| 2633 |
+
"sampled_first_page": true,
|
| 2634 |
+
"search_limit_reached": true,
|
| 2635 |
+
"status": "sampled",
|
| 2636 |
+
"total_count": 24918,
|
| 2637 |
+
"year": 2024
|
| 2638 |
+
},
|
| 2639 |
+
{
|
| 2640 |
+
"coverage_gap": true,
|
| 2641 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2642 |
+
"incomplete_results": false,
|
| 2643 |
+
"pages_scanned": 1,
|
| 2644 |
+
"query": "\"voice conversion\" in:readme created:2024-01-01..2024-12-31",
|
| 2645 |
+
"query_id": "audio-voice-conversion",
|
| 2646 |
+
"repositories_observed_on_last_page": 100,
|
| 2647 |
+
"sampled_first_page": true,
|
| 2648 |
+
"search_limit_reached": false,
|
| 2649 |
+
"status": "sampled",
|
| 2650 |
+
"total_count": 818,
|
| 2651 |
+
"year": 2024
|
| 2652 |
+
},
|
| 2653 |
+
{
|
| 2654 |
+
"coverage_gap": true,
|
| 2655 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2656 |
+
"incomplete_results": false,
|
| 2657 |
+
"pages_scanned": 1,
|
| 2658 |
+
"query": "\"cell atlas\" in:description,readme created:2024-01-01..2024-12-31",
|
| 2659 |
+
"query_id": "bio.cell-atlas",
|
| 2660 |
+
"repositories_observed_on_last_page": 100,
|
| 2661 |
+
"sampled_first_page": true,
|
| 2662 |
+
"search_limit_reached": false,
|
| 2663 |
+
"status": "sampled",
|
| 2664 |
+
"total_count": 301,
|
| 2665 |
+
"year": 2024
|
| 2666 |
+
},
|
| 2667 |
+
{
|
| 2668 |
+
"coverage_gap": false,
|
| 2669 |
+
"coverage_gap_reason": null,
|
| 2670 |
+
"incomplete_results": false,
|
| 2671 |
+
"pages_scanned": 1,
|
| 2672 |
+
"query": "\"ADMET prediction\" in:description,readme created:2024-01-01..2024-12-31",
|
| 2673 |
+
"query_id": "chem-admet",
|
| 2674 |
+
"repositories_observed_on_last_page": 44,
|
| 2675 |
+
"sampled_first_page": true,
|
| 2676 |
+
"search_limit_reached": false,
|
| 2677 |
+
"status": "complete",
|
| 2678 |
+
"total_count": 44,
|
| 2679 |
+
"year": 2024
|
| 2680 |
+
},
|
| 2681 |
+
{
|
| 2682 |
+
"coverage_gap": true,
|
| 2683 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2684 |
+
"incomplete_results": false,
|
| 2685 |
+
"pages_scanned": 1,
|
| 2686 |
+
"query": "\"binding affinity prediction\" in:description,readme created:2024-01-01..2024-12-31",
|
| 2687 |
+
"query_id": "chem-binding-affinity",
|
| 2688 |
+
"repositories_observed_on_last_page": 100,
|
| 2689 |
+
"sampled_first_page": true,
|
| 2690 |
+
"search_limit_reached": false,
|
| 2691 |
+
"status": "sampled",
|
| 2692 |
+
"total_count": 165,
|
| 2693 |
+
"year": 2024
|
| 2694 |
+
},
|
| 2695 |
+
{
|
| 2696 |
+
"coverage_gap": false,
|
| 2697 |
+
"coverage_gap_reason": null,
|
| 2698 |
+
"incomplete_results": false,
|
| 2699 |
+
"pages_scanned": 1,
|
| 2700 |
+
"query": "\"catalyst discovery\" in:description,readme created:2024-01-01..2024-12-31",
|
| 2701 |
+
"query_id": "chem-catalyst-discovery",
|
| 2702 |
+
"repositories_observed_on_last_page": 15,
|
| 2703 |
+
"sampled_first_page": true,
|
| 2704 |
+
"search_limit_reached": false,
|
| 2705 |
+
"status": "complete",
|
| 2706 |
+
"total_count": 15,
|
| 2707 |
+
"year": 2024
|
| 2708 |
+
},
|
| 2709 |
+
{
|
| 2710 |
+
"coverage_gap": true,
|
| 2711 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2712 |
+
"incomplete_results": false,
|
| 2713 |
+
"pages_scanned": 1,
|
| 2714 |
+
"query": "topic:cheminformatics created:2024-01-01..2024-12-31",
|
| 2715 |
+
"query_id": "chem-cheminformatics",
|
| 2716 |
+
"repositories_observed_on_last_page": 100,
|
| 2717 |
+
"sampled_first_page": true,
|
| 2718 |
+
"search_limit_reached": false,
|
| 2719 |
+
"status": "sampled",
|
| 2720 |
+
"total_count": 115,
|
| 2721 |
+
"year": 2024
|
| 2722 |
+
},
|
| 2723 |
+
{
|
| 2724 |
+
"coverage_gap": true,
|
| 2725 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2726 |
+
"incomplete_results": false,
|
| 2727 |
+
"pages_scanned": 1,
|
| 2728 |
+
"query": "\"drug discovery\" in:description,readme created:2024-01-01..2024-12-31",
|
| 2729 |
+
"query_id": "chem-drug-discovery",
|
| 2730 |
+
"repositories_observed_on_last_page": 100,
|
| 2731 |
+
"sampled_first_page": true,
|
| 2732 |
+
"search_limit_reached": true,
|
| 2733 |
+
"status": "sampled",
|
| 2734 |
+
"total_count": 2268,
|
| 2735 |
+
"year": 2024
|
| 2736 |
+
},
|
| 2737 |
+
{
|
| 2738 |
+
"coverage_gap": true,
|
| 2739 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2740 |
+
"incomplete_results": false,
|
| 2741 |
+
"pages_scanned": 1,
|
| 2742 |
+
"query": "\"machine learning interatomic potential\" in:description,readme created:2024-01-01..2024-12-31",
|
| 2743 |
+
"query_id": "chem-interatomic-potentials",
|
| 2744 |
+
"repositories_observed_on_last_page": 100,
|
| 2745 |
+
"sampled_first_page": true,
|
| 2746 |
+
"search_limit_reached": false,
|
| 2747 |
+
"status": "sampled",
|
| 2748 |
+
"total_count": 101,
|
| 2749 |
+
"year": 2024
|
| 2750 |
+
},
|
| 2751 |
+
{
|
| 2752 |
+
"coverage_gap": true,
|
| 2753 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2754 |
+
"incomplete_results": false,
|
| 2755 |
+
"pages_scanned": 1,
|
| 2756 |
+
"query": "\"molecular docking\" in:description,readme created:2024-01-01..2024-12-31",
|
| 2757 |
+
"query_id": "chem-molecular-docking",
|
| 2758 |
+
"repositories_observed_on_last_page": 100,
|
| 2759 |
+
"sampled_first_page": true,
|
| 2760 |
+
"search_limit_reached": false,
|
| 2761 |
+
"status": "sampled",
|
| 2762 |
+
"total_count": 436,
|
| 2763 |
+
"year": 2024
|
| 2764 |
+
},
|
| 2765 |
+
{
|
| 2766 |
+
"coverage_gap": true,
|
| 2767 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2768 |
+
"incomplete_results": false,
|
| 2769 |
+
"pages_scanned": 1,
|
| 2770 |
+
"query": "\"molecular dynamics\" \"machine learning\" in:description,readme created:2024-01-01..2024-12-31",
|
| 2771 |
+
"query_id": "chem-molecular-dynamics",
|
| 2772 |
+
"repositories_observed_on_last_page": 100,
|
| 2773 |
+
"sampled_first_page": true,
|
| 2774 |
+
"search_limit_reached": false,
|
| 2775 |
+
"status": "sampled",
|
| 2776 |
+
"total_count": 432,
|
| 2777 |
+
"year": 2024
|
| 2778 |
+
},
|
| 2779 |
+
{
|
| 2780 |
+
"coverage_gap": true,
|
| 2781 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2782 |
+
"incomplete_results": false,
|
| 2783 |
+
"pages_scanned": 1,
|
| 2784 |
+
"query": "\"molecular generation\" in:description,readme created:2024-01-01..2024-12-31",
|
| 2785 |
+
"query_id": "chem-molecular-generation",
|
| 2786 |
+
"repositories_observed_on_last_page": 100,
|
| 2787 |
+
"sampled_first_page": true,
|
| 2788 |
+
"search_limit_reached": false,
|
| 2789 |
+
"status": "sampled",
|
| 2790 |
+
"total_count": 173,
|
| 2791 |
+
"year": 2024
|
| 2792 |
+
},
|
| 2793 |
+
{
|
| 2794 |
+
"coverage_gap": true,
|
| 2795 |
+
"coverage_gap_reason": "first_page_sample_only",
|
| 2796 |
+
"incomplete_results": false,
|
| 2797 |
+
"pages_scanned": 1,
|
| 2798 |
+
"query": "MoleculeNet in:description,readme created:2024-01-01..2024-12-31",
|
| 2799 |
+
"query_id": "chem-molecular-property-benchmark",
|
| 2800 |
+
"repositories_observed_on_last_page": 100,
|
| 2801 |
+
"sampled_first_page": true,
|
| 2802 |
+
"search_limit_reached": false,
|
| 2803 |
+
"status": "sampled",
|
| 2804 |
+
"total_count": 133,
|
| 2805 |
+
"year": 2024
|
| 2806 |
+
}
|
| 2807 |
+
],
|
| 2808 |
+
"requests_used": 200,
|
| 2809 |
+
"run_id": "20260929T171221000000Z-c413c3e5",
|
| 2810 |
+
"start_year": 2008,
|
| 2811 |
+
"started_at": "2026-09-29T17:12:21Z"
|
| 2812 |
+
}
|
data/observations/2026/09/29/20260929T171221000000Z-c413c3e5.jsonl
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:849776c9292365cb45dfcda0c5a5bedd2742c5ae81356f72ebf93f84f45bbbae
|
| 3 |
+
size 11497518
|
state/historical-sample.json
CHANGED
|
@@ -2346,7 +2346,8 @@
|
|
| 2346 |
"query": "\"ad ranking\" in:description",
|
| 2347 |
"years": [
|
| 2348 |
2026,
|
| 2349 |
-
2025
|
|
|
|
| 2350 |
]
|
| 2351 |
},
|
| 2352 |
"applied.agricultural-ml": {
|
|
@@ -2478,299 +2479,344 @@
|
|
| 2478 |
"applied.inventory-optimization": {
|
| 2479 |
"query": "\"inventory optimization\" in:readme",
|
| 2480 |
"years": [
|
| 2481 |
-
2026
|
|
|
|
| 2482 |
]
|
| 2483 |
},
|
| 2484 |
"applied.learning-to-rank": {
|
| 2485 |
"query": "\"learning to rank\" in:description",
|
| 2486 |
"years": [
|
| 2487 |
-
2026
|
|
|
|
| 2488 |
]
|
| 2489 |
},
|
| 2490 |
"applied.malware-detection": {
|
| 2491 |
"query": "\"malware detection\" \"machine learning\" in:description,readme",
|
| 2492 |
"years": [
|
| 2493 |
-
2026
|
|
|
|
| 2494 |
]
|
| 2495 |
},
|
| 2496 |
"applied.ml-econometrics": {
|
| 2497 |
"query": "\"machine learning econometrics\" in:readme",
|
| 2498 |
"years": [
|
| 2499 |
-
2026
|
|
|
|
| 2500 |
]
|
| 2501 |
},
|
| 2502 |
"applied.plant-disease-detection": {
|
| 2503 |
"query": "\"plant disease detection\" \"deep learning\" in:description,readme",
|
| 2504 |
"years": [
|
| 2505 |
-
2026
|
|
|
|
| 2506 |
]
|
| 2507 |
},
|
| 2508 |
"applied.portfolio-optimization": {
|
| 2509 |
"query": "\"portfolio optimization\" in:readme",
|
| 2510 |
"years": [
|
| 2511 |
-
2026
|
|
|
|
| 2512 |
]
|
| 2513 |
},
|
| 2514 |
"applied.predictive-maintenance": {
|
| 2515 |
"query": "\"predictive maintenance\" industrial in:description",
|
| 2516 |
"years": [
|
| 2517 |
-
2026
|
|
|
|
| 2518 |
]
|
| 2519 |
},
|
| 2520 |
"applied.process-mining-prediction": {
|
| 2521 |
"query": "\"predictive process monitoring\" in:description,readme",
|
| 2522 |
"years": [
|
| 2523 |
-
2026
|
|
|
|
| 2524 |
]
|
| 2525 |
},
|
| 2526 |
"applied.quantitative-finance": {
|
| 2527 |
"query": "\"quantitative finance\" in:readme",
|
| 2528 |
"years": [
|
| 2529 |
-
2026
|
|
|
|
| 2530 |
]
|
| 2531 |
},
|
| 2532 |
"applied.recommender-systems": {
|
| 2533 |
"query": "\"recommender system\" in:readme",
|
| 2534 |
"years": [
|
| 2535 |
-
2026
|
|
|
|
| 2536 |
]
|
| 2537 |
},
|
| 2538 |
"applied.search-ranking": {
|
| 2539 |
"query": "\"search ranking\" in:readme",
|
| 2540 |
"years": [
|
| 2541 |
-
2026
|
|
|
|
| 2542 |
]
|
| 2543 |
},
|
| 2544 |
"applied.species-distribution-modeling": {
|
| 2545 |
"query": "\"species distribution modeling\" in:description,readme",
|
| 2546 |
"years": [
|
| 2547 |
-
2026
|
|
|
|
| 2548 |
]
|
| 2549 |
},
|
| 2550 |
"applied.supply-chain-optimization": {
|
| 2551 |
"query": "\"supply chain optimization\" in:readme",
|
| 2552 |
"years": [
|
| 2553 |
-
2026
|
|
|
|
| 2554 |
]
|
| 2555 |
},
|
| 2556 |
"applied.tabular-ml": {
|
| 2557 |
"query": "\"tabular data\" in:readme",
|
| 2558 |
"years": [
|
| 2559 |
-
2026
|
|
|
|
| 2560 |
]
|
| 2561 |
},
|
| 2562 |
"applied.time-series-forecasting": {
|
| 2563 |
"query": "\"time series forecasting\" manufacturing in:description",
|
| 2564 |
"years": [
|
| 2565 |
-
2026
|
|
|
|
| 2566 |
]
|
| 2567 |
},
|
| 2568 |
"applied.traffic-prediction": {
|
| 2569 |
"query": "\"traffic prediction\" \"machine learning\" in:description,readme",
|
| 2570 |
"years": [
|
| 2571 |
-
2026
|
|
|
|
| 2572 |
]
|
| 2573 |
},
|
| 2574 |
"applied.uplift-modeling": {
|
| 2575 |
"query": "\"uplift modeling\" in:description",
|
| 2576 |
"years": [
|
| 2577 |
-
2026
|
|
|
|
| 2578 |
]
|
| 2579 |
},
|
| 2580 |
"audio-acoustic-event-classification": {
|
| 2581 |
"query": "\"acoustic scene classification\" in:readme",
|
| 2582 |
"years": [
|
| 2583 |
2026,
|
| 2584 |
-
2025
|
|
|
|
| 2585 |
]
|
| 2586 |
},
|
| 2587 |
"audio-anomaly-detection": {
|
| 2588 |
"query": "\"audio anomaly detection\" in:readme",
|
| 2589 |
"years": [
|
| 2590 |
2026,
|
| 2591 |
-
2025
|
|
|
|
| 2592 |
]
|
| 2593 |
},
|
| 2594 |
"audio-asr": {
|
| 2595 |
"query": "\"automatic speech recognition\" in:readme",
|
| 2596 |
"years": [
|
| 2597 |
2026,
|
| 2598 |
-
2025
|
|
|
|
| 2599 |
]
|
| 2600 |
},
|
| 2601 |
"audio-audio-captioning": {
|
| 2602 |
"query": "\"audio captioning\" in:readme",
|
| 2603 |
"years": [
|
| 2604 |
2026,
|
| 2605 |
-
2025
|
|
|
|
| 2606 |
]
|
| 2607 |
},
|
| 2608 |
"audio-audio-classification": {
|
| 2609 |
"query": "\"audio classification\" in:readme",
|
| 2610 |
"years": [
|
| 2611 |
2026,
|
| 2612 |
-
2025
|
|
|
|
| 2613 |
]
|
| 2614 |
},
|
| 2615 |
"audio-audio-question-answering": {
|
| 2616 |
"query": "\"audio question answering\" in:readme",
|
| 2617 |
"years": [
|
| 2618 |
2026,
|
| 2619 |
-
2025
|
|
|
|
| 2620 |
]
|
| 2621 |
},
|
| 2622 |
"audio-audio-super-resolution": {
|
| 2623 |
"query": "\"audio super-resolution\" in:readme",
|
| 2624 |
"years": [
|
| 2625 |
2026,
|
| 2626 |
-
2025
|
|
|
|
| 2627 |
]
|
| 2628 |
},
|
| 2629 |
"audio-generation": {
|
| 2630 |
"query": "\"audio generation\" in:readme",
|
| 2631 |
"years": [
|
| 2632 |
2026,
|
| 2633 |
-
2025
|
|
|
|
| 2634 |
]
|
| 2635 |
},
|
| 2636 |
"audio-keyword-spotting": {
|
| 2637 |
"query": "\"keyword spotting\" audio in:readme",
|
| 2638 |
"years": [
|
| 2639 |
2026,
|
| 2640 |
-
2025
|
|
|
|
| 2641 |
]
|
| 2642 |
},
|
| 2643 |
"audio-music-generation": {
|
| 2644 |
"query": "\"music generation\" in:readme",
|
| 2645 |
"years": [
|
| 2646 |
2026,
|
| 2647 |
-
2025
|
|
|
|
| 2648 |
]
|
| 2649 |
},
|
| 2650 |
"audio-music-information-retrieval": {
|
| 2651 |
"query": "\"music information retrieval\" in:readme",
|
| 2652 |
"years": [
|
| 2653 |
2026,
|
| 2654 |
-
2025
|
|
|
|
| 2655 |
]
|
| 2656 |
},
|
| 2657 |
"audio-music-recommendation": {
|
| 2658 |
"query": "\"music recommendation\" in:readme",
|
| 2659 |
"years": [
|
| 2660 |
2026,
|
| 2661 |
-
2025
|
|
|
|
| 2662 |
]
|
| 2663 |
},
|
| 2664 |
"audio-music-source-separation": {
|
| 2665 |
"query": "\"music source separation\" in:readme",
|
| 2666 |
"years": [
|
| 2667 |
2026,
|
| 2668 |
-
2025
|
|
|
|
| 2669 |
]
|
| 2670 |
},
|
| 2671 |
"audio-music-transcription": {
|
| 2672 |
"query": "\"automatic music transcription\" in:readme",
|
| 2673 |
"years": [
|
| 2674 |
2026,
|
| 2675 |
-
2025
|
|
|
|
| 2676 |
]
|
| 2677 |
},
|
| 2678 |
"audio-neural-codec": {
|
| 2679 |
"query": "\"neural audio codec\" in:readme",
|
| 2680 |
"years": [
|
| 2681 |
2026,
|
| 2682 |
-
2025
|
|
|
|
| 2683 |
]
|
| 2684 |
},
|
| 2685 |
"audio-sound-event-detection": {
|
| 2686 |
"query": "\"sound event detection\" in:readme",
|
| 2687 |
"years": [
|
| 2688 |
2026,
|
| 2689 |
-
2025
|
|
|
|
| 2690 |
]
|
| 2691 |
},
|
| 2692 |
"audio-source-separation": {
|
| 2693 |
"query": "\"audio source separation\" in:readme",
|
| 2694 |
"years": [
|
| 2695 |
2026,
|
| 2696 |
-
2025
|
|
|
|
| 2697 |
]
|
| 2698 |
},
|
| 2699 |
"audio-speaker-diarization": {
|
| 2700 |
"query": "\"speaker diarization\" in:readme",
|
| 2701 |
"years": [
|
| 2702 |
2026,
|
| 2703 |
-
2025
|
|
|
|
| 2704 |
]
|
| 2705 |
},
|
| 2706 |
"audio-speaker-verification": {
|
| 2707 |
"query": "\"speaker verification\" in:readme",
|
| 2708 |
"years": [
|
| 2709 |
2026,
|
| 2710 |
-
2025
|
|
|
|
| 2711 |
]
|
| 2712 |
},
|
| 2713 |
"audio-speech-emotion-recognition": {
|
| 2714 |
"query": "\"speech emotion recognition\" in:readme",
|
| 2715 |
"years": [
|
| 2716 |
2026,
|
| 2717 |
-
2025
|
|
|
|
| 2718 |
]
|
| 2719 |
},
|
| 2720 |
"audio-speech-enhancement": {
|
| 2721 |
"query": "\"speech enhancement\" in:readme",
|
| 2722 |
"years": [
|
| 2723 |
2026,
|
| 2724 |
-
2025
|
|
|
|
| 2725 |
]
|
| 2726 |
},
|
| 2727 |
"audio-speech-synthesis": {
|
| 2728 |
"query": "\"speech synthesis\" in:readme",
|
| 2729 |
"years": [
|
| 2730 |
2026,
|
| 2731 |
-
2025
|
|
|
|
| 2732 |
]
|
| 2733 |
},
|
| 2734 |
"audio-speech-to-text": {
|
| 2735 |
"query": "\"speech to text\" in:readme",
|
| 2736 |
"years": [
|
| 2737 |
2026,
|
| 2738 |
-
2025
|
|
|
|
| 2739 |
]
|
| 2740 |
},
|
| 2741 |
"audio-speech-translation": {
|
| 2742 |
"query": "\"speech translation\" in:readme",
|
| 2743 |
"years": [
|
| 2744 |
2026,
|
| 2745 |
-
2025
|
|
|
|
| 2746 |
]
|
| 2747 |
},
|
| 2748 |
"audio-text-to-audio": {
|
| 2749 |
"query": "\"text to audio\" in:readme",
|
| 2750 |
"years": [
|
| 2751 |
2026,
|
| 2752 |
-
2025
|
|
|
|
| 2753 |
]
|
| 2754 |
},
|
| 2755 |
"audio-text-to-speech": {
|
| 2756 |
"query": "\"text to speech\" in:readme",
|
| 2757 |
"years": [
|
| 2758 |
2026,
|
| 2759 |
-
2025
|
|
|
|
| 2760 |
]
|
| 2761 |
},
|
| 2762 |
"audio-voice-conversion": {
|
| 2763 |
"query": "\"voice conversion\" in:readme",
|
| 2764 |
"years": [
|
| 2765 |
2026,
|
| 2766 |
-
2025
|
|
|
|
| 2767 |
]
|
| 2768 |
},
|
| 2769 |
"bio.cell-atlas": {
|
| 2770 |
"query": "\"cell atlas\" in:description,readme",
|
| 2771 |
"years": [
|
| 2772 |
2026,
|
| 2773 |
-
2025
|
|
|
|
| 2774 |
]
|
| 2775 |
},
|
| 2776 |
"bio.chemical-biology": {
|
|
@@ -2902,113 +2948,130 @@
|
|
| 2902 |
"bio.rna-language-models": {
|
| 2903 |
"query": "\"RNA language model\" in:description",
|
| 2904 |
"years": [
|
| 2905 |
-
2026
|
|
|
|
| 2906 |
]
|
| 2907 |
},
|
| 2908 |
"bio.rna-structure": {
|
| 2909 |
"query": "\"RNA structure prediction\" in:description,readme",
|
| 2910 |
"years": [
|
| 2911 |
-
2026
|
|
|
|
| 2912 |
]
|
| 2913 |
},
|
| 2914 |
"bio.scrna-seq": {
|
| 2915 |
"query": "\"scRNA-seq\" in:readme",
|
| 2916 |
"years": [
|
| 2917 |
-
2026
|
|
|
|
| 2918 |
]
|
| 2919 |
},
|
| 2920 |
"bio.single-cell": {
|
| 2921 |
"query": "\"single-cell\" in:description",
|
| 2922 |
"years": [
|
| 2923 |
-
2026
|
|
|
|
| 2924 |
]
|
| 2925 |
},
|
| 2926 |
"bio.spatial-transcriptomics": {
|
| 2927 |
"query": "\"spatial transcriptomics\" in:description,readme",
|
| 2928 |
"years": [
|
| 2929 |
-
2026
|
|
|
|
| 2930 |
]
|
| 2931 |
},
|
| 2932 |
"bio.transcriptomics": {
|
| 2933 |
"query": "\"transcriptomics\" in:description",
|
| 2934 |
"years": [
|
| 2935 |
-
2026
|
|
|
|
| 2936 |
]
|
| 2937 |
},
|
| 2938 |
"bio.variant-effects": {
|
| 2939 |
"query": "\"variant effect prediction\" in:readme",
|
| 2940 |
"years": [
|
| 2941 |
-
2026
|
|
|
|
| 2942 |
]
|
| 2943 |
},
|
| 2944 |
"chem-admet": {
|
| 2945 |
"query": "\"ADMET prediction\" in:description,readme",
|
| 2946 |
"years": [
|
| 2947 |
2026,
|
| 2948 |
-
2025
|
|
|
|
| 2949 |
]
|
| 2950 |
},
|
| 2951 |
"chem-binding-affinity": {
|
| 2952 |
"query": "\"binding affinity prediction\" in:description,readme",
|
| 2953 |
"years": [
|
| 2954 |
2026,
|
| 2955 |
-
2025
|
|
|
|
| 2956 |
]
|
| 2957 |
},
|
| 2958 |
"chem-catalyst-discovery": {
|
| 2959 |
"query": "\"catalyst discovery\" in:description,readme",
|
| 2960 |
"years": [
|
| 2961 |
2026,
|
| 2962 |
-
2025
|
|
|
|
| 2963 |
]
|
| 2964 |
},
|
| 2965 |
"chem-cheminformatics": {
|
| 2966 |
"query": "topic:cheminformatics",
|
| 2967 |
"years": [
|
| 2968 |
2026,
|
| 2969 |
-
2025
|
|
|
|
| 2970 |
]
|
| 2971 |
},
|
| 2972 |
"chem-drug-discovery": {
|
| 2973 |
"query": "\"drug discovery\" in:description,readme",
|
| 2974 |
"years": [
|
| 2975 |
2026,
|
| 2976 |
-
2025
|
|
|
|
| 2977 |
]
|
| 2978 |
},
|
| 2979 |
"chem-interatomic-potentials": {
|
| 2980 |
"query": "\"machine learning interatomic potential\" in:description,readme",
|
| 2981 |
"years": [
|
| 2982 |
2026,
|
| 2983 |
-
2025
|
|
|
|
| 2984 |
]
|
| 2985 |
},
|
| 2986 |
"chem-molecular-docking": {
|
| 2987 |
"query": "\"molecular docking\" in:description,readme",
|
| 2988 |
"years": [
|
| 2989 |
2026,
|
| 2990 |
-
2025
|
|
|
|
| 2991 |
]
|
| 2992 |
},
|
| 2993 |
"chem-molecular-dynamics": {
|
| 2994 |
"query": "\"molecular dynamics\" \"machine learning\" in:description,readme",
|
| 2995 |
"years": [
|
| 2996 |
2026,
|
| 2997 |
-
2025
|
|
|
|
| 2998 |
]
|
| 2999 |
},
|
| 3000 |
"chem-molecular-generation": {
|
| 3001 |
"query": "\"molecular generation\" in:description,readme",
|
| 3002 |
"years": [
|
| 3003 |
2026,
|
| 3004 |
-
2025
|
|
|
|
| 3005 |
]
|
| 3006 |
},
|
| 3007 |
"chem-molecular-property-benchmark": {
|
| 3008 |
"query": "MoleculeNet in:description,readme",
|
| 3009 |
"years": [
|
| 3010 |
2026,
|
| 3011 |
-
2025
|
|
|
|
| 3012 |
]
|
| 3013 |
},
|
| 3014 |
"chem-molecular-spectroscopy": {
|
|
@@ -3217,55 +3280,64 @@
|
|
| 3217 |
"efficiency.neural-architecture-search": {
|
| 3218 |
"query": "\"neural architecture search\" in:description",
|
| 3219 |
"years": [
|
| 3220 |
-
2026
|
|
|
|
| 3221 |
]
|
| 3222 |
},
|
| 3223 |
"efficiency.optimizer-state-sharding": {
|
| 3224 |
"query": "\"optimizer state sharding\" in:description",
|
| 3225 |
"years": [
|
| 3226 |
-
2026
|
|
|
|
| 3227 |
]
|
| 3228 |
},
|
| 3229 |
"efficiency.parameter-efficient-finetuning": {
|
| 3230 |
"query": "\"parameter-efficient fine-tuning\" in:description",
|
| 3231 |
"years": [
|
| 3232 |
-
2026
|
|
|
|
| 3233 |
]
|
| 3234 |
},
|
| 3235 |
"efficiency.post-training-quantization": {
|
| 3236 |
"query": "\"post-training quantization\" in:description",
|
| 3237 |
"years": [
|
| 3238 |
-
2026
|
|
|
|
| 3239 |
]
|
| 3240 |
},
|
| 3241 |
"efficiency.pruning": {
|
| 3242 |
"query": "pruning in:description",
|
| 3243 |
"years": [
|
| 3244 |
-
2026
|
|
|
|
| 3245 |
]
|
| 3246 |
},
|
| 3247 |
"efficiency.quantization": {
|
| 3248 |
"query": "quantization in:description",
|
| 3249 |
"years": [
|
| 3250 |
-
2026
|
|
|
|
| 3251 |
]
|
| 3252 |
},
|
| 3253 |
"efficiency.quantization-aware-training": {
|
| 3254 |
"query": "\"quantization-aware training\" in:description",
|
| 3255 |
"years": [
|
| 3256 |
-
2026
|
|
|
|
| 3257 |
]
|
| 3258 |
},
|
| 3259 |
"efficiency.sparse-neural-networks": {
|
| 3260 |
"query": "\"sparse neural network\" in:description",
|
| 3261 |
"years": [
|
| 3262 |
-
2026
|
|
|
|
| 3263 |
]
|
| 3264 |
},
|
| 3265 |
"efficiency.speculative-decoding": {
|
| 3266 |
"query": "\"speculative decoding\" in:description",
|
| 3267 |
"years": [
|
| 3268 |
-
2026
|
|
|
|
| 3269 |
]
|
| 3270 |
},
|
| 3271 |
"gap2026.archaeology-ml": {
|
|
@@ -3404,61 +3476,71 @@
|
|
| 3404 |
"gap2026.math-learned-optimization": {
|
| 3405 |
"query": "\"learned optimizer\" optimization algorithm in:description,readme",
|
| 3406 |
"years": [
|
| 3407 |
-
2026
|
|
|
|
| 3408 |
]
|
| 3409 |
},
|
| 3410 |
"gap2026.math-neural-combinatorial-optimization": {
|
| 3411 |
"query": "\"neural combinatorial optimization\" in:description,readme",
|
| 3412 |
"years": [
|
| 3413 |
-
2026
|
|
|
|
| 3414 |
]
|
| 3415 |
},
|
| 3416 |
"gap2026.neuroimaging-connectome": {
|
| 3417 |
"query": "\"connectome prediction\" machine learning in:description,readme",
|
| 3418 |
"years": [
|
| 3419 |
-
2026
|
|
|
|
| 3420 |
]
|
| 3421 |
},
|
| 3422 |
"gap2026.neuroimaging-eeg": {
|
| 3423 |
"query": "\"EEG deep learning\" in:description,readme",
|
| 3424 |
"years": [
|
| 3425 |
-
2026
|
|
|
|
| 3426 |
]
|
| 3427 |
},
|
| 3428 |
"gap2026.neuroimaging-fmri": {
|
| 3429 |
"query": "\"fMRI machine learning\" in:description,readme",
|
| 3430 |
"years": [
|
| 3431 |
-
2026
|
|
|
|
| 3432 |
]
|
| 3433 |
},
|
| 3434 |
"gap2026.neuroimaging-neural-decoding": {
|
| 3435 |
"query": "\"neural decoding\" machine learning in:description,readme",
|
| 3436 |
"years": [
|
| 3437 |
-
2026
|
|
|
|
| 3438 |
]
|
| 3439 |
},
|
| 3440 |
"gap2026.physics-differentiable-simulation": {
|
| 3441 |
"query": "\"differentiable physics simulation\" in:description,readme",
|
| 3442 |
"years": [
|
| 3443 |
-
2026
|
|
|
|
| 3444 |
]
|
| 3445 |
},
|
| 3446 |
"gap2026.physics-inverse-problem": {
|
| 3447 |
"query": "\"inverse problems\" neural network physics in:description,readme",
|
| 3448 |
"years": [
|
| 3449 |
-
2026
|
|
|
|
| 3450 |
]
|
| 3451 |
},
|
| 3452 |
"gap2026.physics-neural-pde-solver": {
|
| 3453 |
"query": "\"neural PDE solver\" in:description,readme",
|
| 3454 |
"years": [
|
| 3455 |
-
2026
|
|
|
|
| 3456 |
]
|
| 3457 |
},
|
| 3458 |
"gap2026.physics-quantum-ml": {
|
| 3459 |
"query": "\"quantum machine learning\" physics in:description,readme",
|
| 3460 |
"years": [
|
| 3461 |
-
2026
|
|
|
|
| 3462 |
]
|
| 3463 |
},
|
| 3464 |
"general.active-learning": {
|
|
@@ -3597,151 +3679,176 @@
|
|
| 3597 |
"general.machine-learning-description": {
|
| 3598 |
"query": "\"machine learning\" in:description",
|
| 3599 |
"years": [
|
| 3600 |
-
2026
|
|
|
|
| 3601 |
]
|
| 3602 |
},
|
| 3603 |
"general.machine-learning-readme": {
|
| 3604 |
"query": "\"machine learning\" in:readme",
|
| 3605 |
"years": [
|
| 3606 |
-
2026
|
|
|
|
| 3607 |
]
|
| 3608 |
},
|
| 3609 |
"general.matrix-factorization": {
|
| 3610 |
"query": "\"matrix factorization\" \"machine learning\" in:description,readme",
|
| 3611 |
"years": [
|
| 3612 |
-
2026
|
|
|
|
| 3613 |
]
|
| 3614 |
},
|
| 3615 |
"general.meta-learning": {
|
| 3616 |
"query": "\"meta-learning\" in:description,readme",
|
| 3617 |
"years": [
|
| 3618 |
-
2026
|
|
|
|
| 3619 |
]
|
| 3620 |
},
|
| 3621 |
"general.metric-learning": {
|
| 3622 |
"query": "\"metric learning\" in:description,readme",
|
| 3623 |
"years": [
|
| 3624 |
-
2026
|
|
|
|
| 3625 |
]
|
| 3626 |
},
|
| 3627 |
"general.model-architecture": {
|
| 3628 |
"query": "\"model architecture\" in:description",
|
| 3629 |
"years": [
|
| 3630 |
-
2026
|
|
|
|
| 3631 |
]
|
| 3632 |
},
|
| 3633 |
"general.multi-task-learning": {
|
| 3634 |
"query": "\"multi-task learning\" in:description,readme",
|
| 3635 |
"years": [
|
| 3636 |
-
2026
|
|
|
|
| 3637 |
]
|
| 3638 |
},
|
| 3639 |
"general.naive-bayes": {
|
| 3640 |
"query": "\"naive Bayes\" in:description,readme",
|
| 3641 |
"years": [
|
| 3642 |
-
2026
|
|
|
|
| 3643 |
]
|
| 3644 |
},
|
| 3645 |
"general.nearest-neighbors": {
|
| 3646 |
"query": "\"nearest neighbors\" \"machine learning\" in:description,readme",
|
| 3647 |
"years": [
|
| 3648 |
-
2026
|
|
|
|
| 3649 |
]
|
| 3650 |
},
|
| 3651 |
"general.neural-network": {
|
| 3652 |
"query": "\"neural network\" in:description",
|
| 3653 |
"years": [
|
| 3654 |
-
2026
|
|
|
|
| 3655 |
]
|
| 3656 |
},
|
| 3657 |
"general.neural-processes": {
|
| 3658 |
"query": "\"neural processes\" in:description,readme",
|
| 3659 |
"years": [
|
| 3660 |
-
2026
|
|
|
|
| 3661 |
]
|
| 3662 |
},
|
| 3663 |
"general.normalizing-flows": {
|
| 3664 |
"query": "\"normalizing flows\" \"machine learning\" in:description,readme",
|
| 3665 |
"years": [
|
| 3666 |
-
2026
|
|
|
|
| 3667 |
]
|
| 3668 |
},
|
| 3669 |
"general.novel-method": {
|
| 3670 |
"query": "\"novel method\" in:description",
|
| 3671 |
"years": [
|
| 3672 |
-
2026
|
|
|
|
| 3673 |
]
|
| 3674 |
},
|
| 3675 |
"general.paper-implementation": {
|
| 3676 |
"query": "\"paper implementation\" in:description",
|
| 3677 |
"years": [
|
| 3678 |
-
2026
|
|
|
|
| 3679 |
]
|
| 3680 |
},
|
| 3681 |
"general.probabilistic-programming": {
|
| 3682 |
"query": "\"probabilistic programming\" in:description,readme",
|
| 3683 |
"years": [
|
| 3684 |
-
2026
|
|
|
|
| 3685 |
]
|
| 3686 |
},
|
| 3687 |
"general.random-forest": {
|
| 3688 |
"query": "\"random forest\" in:description",
|
| 3689 |
"years": [
|
| 3690 |
-
2026
|
|
|
|
| 3691 |
]
|
| 3692 |
},
|
| 3693 |
"general.research-code": {
|
| 3694 |
"query": "\"research code\" \"machine learning\" in:description,readme",
|
| 3695 |
"years": [
|
| 3696 |
-
2026
|
|
|
|
| 3697 |
]
|
| 3698 |
},
|
| 3699 |
"general.self-supervised-learning": {
|
| 3700 |
"query": "\"self-supervised learning\" in:description",
|
| 3701 |
"years": [
|
| 3702 |
-
2026
|
|
|
|
| 3703 |
]
|
| 3704 |
},
|
| 3705 |
"general.semi-supervised-learning": {
|
| 3706 |
"query": "\"semi-supervised learning\" in:description,readme",
|
| 3707 |
"years": [
|
| 3708 |
-
2026
|
|
|
|
| 3709 |
]
|
| 3710 |
},
|
| 3711 |
"general.support-vector-machine": {
|
| 3712 |
"query": "\"support vector machine\" in:description",
|
| 3713 |
"years": [
|
| 3714 |
-
2026
|
|
|
|
| 3715 |
]
|
| 3716 |
},
|
| 3717 |
"general.topic-artificial-intelligence": {
|
| 3718 |
"query": "topic:artificial-intelligence",
|
| 3719 |
"years": [
|
| 3720 |
-
2026
|
|
|
|
| 3721 |
]
|
| 3722 |
},
|
| 3723 |
"general.topic-deep-learning": {
|
| 3724 |
"query": "topic:deep-learning",
|
| 3725 |
"years": [
|
| 3726 |
-
2026
|
|
|
|
| 3727 |
]
|
| 3728 |
},
|
| 3729 |
"general.topic-machine-learning": {
|
| 3730 |
"query": "topic:machine-learning",
|
| 3731 |
"years": [
|
| 3732 |
-
2026
|
|
|
|
| 3733 |
]
|
| 3734 |
},
|
| 3735 |
"general.transfer-learning": {
|
| 3736 |
"query": "\"transfer learning\" in:description,readme",
|
| 3737 |
"years": [
|
| 3738 |
-
2026
|
|
|
|
| 3739 |
]
|
| 3740 |
},
|
| 3741 |
"general.weak-supervision": {
|
| 3742 |
"query": "\"weak supervision\" \"machine learning\" in:description,readme",
|
| 3743 |
"years": [
|
| 3744 |
-
2026
|
|
|
|
| 3745 |
]
|
| 3746 |
},
|
| 3747 |
"geo.building-footprints": {
|
|
@@ -3880,49 +3987,57 @@
|
|
| 3880 |
"geo.satellite-imagery": {
|
| 3881 |
"query": "\"satellite imagery\" in:readme",
|
| 3882 |
"years": [
|
| 3883 |
-
2026
|
|
|
|
| 3884 |
]
|
| 3885 |
},
|
| 3886 |
"geo.topic-earth-observation": {
|
| 3887 |
"query": "topic:earth-observation",
|
| 3888 |
"years": [
|
| 3889 |
-
2026
|
|
|
|
| 3890 |
]
|
| 3891 |
},
|
| 3892 |
"geo.topic-geospatial": {
|
| 3893 |
"query": "topic:geospatial",
|
| 3894 |
"years": [
|
| 3895 |
-
2026
|
|
|
|
| 3896 |
]
|
| 3897 |
},
|
| 3898 |
"geo.topic-gis": {
|
| 3899 |
"query": "topic:gis",
|
| 3900 |
"years": [
|
| 3901 |
-
2026
|
|
|
|
| 3902 |
]
|
| 3903 |
},
|
| 3904 |
"geo.topic-remote-sensing": {
|
| 3905 |
"query": "topic:remote-sensing",
|
| 3906 |
"years": [
|
| 3907 |
-
2026
|
|
|
|
| 3908 |
]
|
| 3909 |
},
|
| 3910 |
"geo.trajectory-prediction": {
|
| 3911 |
"query": "\"trajectory prediction\" geospatial in:description,readme",
|
| 3912 |
"years": [
|
| 3913 |
-
2026
|
|
|
|
| 3914 |
]
|
| 3915 |
},
|
| 3916 |
"geo.urban-sensing": {
|
| 3917 |
"query": "\"urban remote sensing\" in:readme",
|
| 3918 |
"years": [
|
| 3919 |
-
2026
|
|
|
|
| 3920 |
]
|
| 3921 |
},
|
| 3922 |
"geo.wildfire-mapping": {
|
| 3923 |
"query": "\"wildfire detection\" in:description,readme",
|
| 3924 |
"years": [
|
| 3925 |
-
2026
|
|
|
|
| 3926 |
]
|
| 3927 |
},
|
| 3928 |
"graph.e3-equivariance": {
|
|
@@ -4061,49 +4176,57 @@
|
|
| 4061 |
"graph.persistent-homology": {
|
| 4062 |
"query": "\"persistent homology\" in:description",
|
| 4063 |
"years": [
|
| 4064 |
-
2026
|
|
|
|
| 4065 |
]
|
| 4066 |
},
|
| 4067 |
"graph.point-cloud-learning": {
|
| 4068 |
"query": "\"point cloud deep learning\" in:description",
|
| 4069 |
"years": [
|
| 4070 |
-
2026
|
|
|
|
| 4071 |
]
|
| 4072 |
},
|
| 4073 |
"graph.point-clouds": {
|
| 4074 |
"query": "topic:point-cloud",
|
| 4075 |
"years": [
|
| 4076 |
-
2026
|
|
|
|
| 4077 |
]
|
| 4078 |
},
|
| 4079 |
"graph.representation-learning": {
|
| 4080 |
"query": "\"graph representation learning\" in:readme",
|
| 4081 |
"years": [
|
| 4082 |
-
2026
|
|
|
|
| 4083 |
]
|
| 4084 |
},
|
| 4085 |
"graph.signal-processing": {
|
| 4086 |
"query": "\"graph signal processing\" in:description,readme",
|
| 4087 |
"years": [
|
| 4088 |
-
2026
|
|
|
|
| 4089 |
]
|
| 4090 |
},
|
| 4091 |
"graph.temporal-learning": {
|
| 4092 |
"query": "\"temporal graph\" in:description,readme",
|
| 4093 |
"years": [
|
| 4094 |
-
2026
|
|
|
|
| 4095 |
]
|
| 4096 |
},
|
| 4097 |
"graph.topic-gnn": {
|
| 4098 |
"query": "topic:graph-neural-network",
|
| 4099 |
"years": [
|
| 4100 |
-
2026
|
|
|
|
| 4101 |
]
|
| 4102 |
},
|
| 4103 |
"graph.topological-ml": {
|
| 4104 |
"query": "\"topological machine learning\" in:readme",
|
| 4105 |
"years": [
|
| 4106 |
-
2026
|
|
|
|
| 4107 |
]
|
| 4108 |
},
|
| 4109 |
"llm-code-generation": {
|
|
@@ -4270,25 +4393,29 @@
|
|
| 4270 |
"llm.synthetic-data": {
|
| 4271 |
"query": "\"synthetic data\" in:description",
|
| 4272 |
"years": [
|
| 4273 |
-
2026
|
|
|
|
| 4274 |
]
|
| 4275 |
},
|
| 4276 |
"llm.synthetic-data-generation": {
|
| 4277 |
"query": "\"synthetic data generation\" in:description",
|
| 4278 |
"years": [
|
| 4279 |
-
2026
|
|
|
|
| 4280 |
]
|
| 4281 |
},
|
| 4282 |
"llm.test-time-compute": {
|
| 4283 |
"query": "\"test-time compute\" \"language model\" in:readme",
|
| 4284 |
"years": [
|
| 4285 |
-
2026
|
|
|
|
| 4286 |
]
|
| 4287 |
},
|
| 4288 |
"llm.transformers": {
|
| 4289 |
"query": "\"transformer\" in:description",
|
| 4290 |
"years": [
|
| 4291 |
-
2026
|
|
|
|
| 4292 |
]
|
| 4293 |
},
|
| 4294 |
"materials-battery": {
|
|
@@ -4476,49 +4603,57 @@
|
|
| 4476 |
"medical.neuroimaging": {
|
| 4477 |
"query": "\"neuroimaging machine learning\" in:readme",
|
| 4478 |
"years": [
|
| 4479 |
-
2026
|
|
|
|
| 4480 |
]
|
| 4481 |
},
|
| 4482 |
"medical.ophthalmology": {
|
| 4483 |
"query": "ophthalmology AI retinal in:description,readme",
|
| 4484 |
"years": [
|
| 4485 |
-
2026
|
|
|
|
| 4486 |
]
|
| 4487 |
},
|
| 4488 |
"medical.pathology": {
|
| 4489 |
"query": "\"computational pathology\" in:description",
|
| 4490 |
"years": [
|
| 4491 |
-
2026
|
|
|
|
| 4492 |
]
|
| 4493 |
},
|
| 4494 |
"medical.pathology-foundation-model": {
|
| 4495 |
"query": "\"pathology foundation model\" in:description,readme",
|
| 4496 |
"years": [
|
| 4497 |
-
2026
|
|
|
|
| 4498 |
]
|
| 4499 |
},
|
| 4500 |
"medical.patient-risk": {
|
| 4501 |
"query": "\"patient deterioration prediction\" in:description,readme",
|
| 4502 |
"years": [
|
| 4503 |
-
2026
|
|
|
|
| 4504 |
]
|
| 4505 |
},
|
| 4506 |
"medical.radiology": {
|
| 4507 |
"query": "\"radiology machine learning\" in:readme",
|
| 4508 |
"years": [
|
| 4509 |
-
2026
|
|
|
|
| 4510 |
]
|
| 4511 |
},
|
| 4512 |
"medical.survival-analysis": {
|
| 4513 |
"query": "clinical survival prediction in:description,readme",
|
| 4514 |
"years": [
|
| 4515 |
-
2026
|
|
|
|
| 4516 |
]
|
| 4517 |
},
|
| 4518 |
"medical.wearable-health": {
|
| 4519 |
"query": "\"wearable health monitoring\" in:readme",
|
| 4520 |
"years": [
|
| 4521 |
-
2026
|
|
|
|
| 4522 |
]
|
| 4523 |
},
|
| 4524 |
"multimodal.3d-generation": {
|
|
@@ -4657,37 +4792,43 @@
|
|
| 4657 |
"multimodal.video-question-answering": {
|
| 4658 |
"query": "\"video question answering\" in:readme",
|
| 4659 |
"years": [
|
| 4660 |
-
2026
|
|
|
|
| 4661 |
]
|
| 4662 |
},
|
| 4663 |
"multimodal.video-understanding": {
|
| 4664 |
"query": "\"video-language\" in:description",
|
| 4665 |
"years": [
|
| 4666 |
-
2026
|
|
|
|
| 4667 |
]
|
| 4668 |
},
|
| 4669 |
"multimodal.vision-language": {
|
| 4670 |
"query": "\"vision-language\" in:description",
|
| 4671 |
"years": [
|
| 4672 |
-
2026
|
|
|
|
| 4673 |
]
|
| 4674 |
},
|
| 4675 |
"multimodal.visual-question-answering": {
|
| 4676 |
"query": "\"visual question answering\" in:description",
|
| 4677 |
"years": [
|
| 4678 |
-
2026
|
|
|
|
| 4679 |
]
|
| 4680 |
},
|
| 4681 |
"multimodal.vlm": {
|
| 4682 |
"query": "\"vision-language model\" in:description",
|
| 4683 |
"years": [
|
| 4684 |
-
2026
|
|
|
|
| 4685 |
]
|
| 4686 |
},
|
| 4687 |
"multimodal.world-models": {
|
| 4688 |
"query": "\"world model\" in:description",
|
| 4689 |
"years": [
|
| 4690 |
-
2026
|
|
|
|
| 4691 |
]
|
| 4692 |
},
|
| 4693 |
"nlp-bm25-retrieval": {
|
|
@@ -5001,85 +5142,99 @@
|
|
| 5001 |
"recall.name.foundation-model": {
|
| 5002 |
"query": "foundation model in:name,description,readme",
|
| 5003 |
"years": [
|
| 5004 |
-
2026
|
|
|
|
| 5005 |
]
|
| 5006 |
},
|
| 5007 |
"recall.name.language-model": {
|
| 5008 |
"query": "\"language model\" in:name,description,readme",
|
| 5009 |
"years": [
|
| 5010 |
-
2026
|
|
|
|
| 5011 |
]
|
| 5012 |
},
|
| 5013 |
"recall.name.large-language-model": {
|
| 5014 |
"query": "\"large language model\" in:name,description,readme",
|
| 5015 |
"years": [
|
| 5016 |
-
2026
|
|
|
|
| 5017 |
]
|
| 5018 |
},
|
| 5019 |
"recall.name.machine-learning": {
|
| 5020 |
"query": "\"machine learning\" in:name,description,readme",
|
| 5021 |
"years": [
|
| 5022 |
-
2026
|
|
|
|
| 5023 |
]
|
| 5024 |
},
|
| 5025 |
"recall.name.multimodal-model": {
|
| 5026 |
"query": "multimodal model in:name,description,readme",
|
| 5027 |
"years": [
|
| 5028 |
-
2026
|
|
|
|
| 5029 |
]
|
| 5030 |
},
|
| 5031 |
"recall.name.neural-network": {
|
| 5032 |
"query": "\"neural network\" in:name,description,readme",
|
| 5033 |
"years": [
|
| 5034 |
-
2026
|
|
|
|
| 5035 |
]
|
| 5036 |
},
|
| 5037 |
"recall.name.transformer-model": {
|
| 5038 |
"query": "transformer model in:name,description,readme",
|
| 5039 |
"years": [
|
| 5040 |
-
2026
|
|
|
|
| 5041 |
]
|
| 5042 |
},
|
| 5043 |
"recall.player-tracking": {
|
| 5044 |
"query": "\"player tracking\" computer vision in:name,description,readme",
|
| 5045 |
"years": [
|
| 5046 |
-
2026
|
|
|
|
| 5047 |
]
|
| 5048 |
},
|
| 5049 |
"recall.population-health-prediction": {
|
| 5050 |
"query": "\"population health prediction\" in:name,description,readme",
|
| 5051 |
"years": [
|
| 5052 |
-
2026
|
|
|
|
| 5053 |
]
|
| 5054 |
},
|
| 5055 |
"recall.power-system-forecasting": {
|
| 5056 |
"query": "\"power system forecasting\" in:name,description,readme",
|
| 5057 |
"years": [
|
| 5058 |
-
2026
|
|
|
|
| 5059 |
]
|
| 5060 |
},
|
| 5061 |
"recall.social-media-analysis": {
|
| 5062 |
"query": "\"social media analysis\" NLP in:name,description,readme",
|
| 5063 |
"years": [
|
| 5064 |
-
2026
|
|
|
|
| 5065 |
]
|
| 5066 |
},
|
| 5067 |
"recall.sports-analytics": {
|
| 5068 |
"query": "\"sports analytics\" model in:name,description,readme",
|
| 5069 |
"years": [
|
| 5070 |
-
2026
|
|
|
|
| 5071 |
]
|
| 5072 |
},
|
| 5073 |
"recall.structural-health-monitoring": {
|
| 5074 |
"query": "\"structural health monitoring\" machine learning in:name,description,readme",
|
| 5075 |
"years": [
|
| 5076 |
-
2026
|
|
|
|
| 5077 |
]
|
| 5078 |
},
|
| 5079 |
"recall.student-performance-prediction": {
|
| 5080 |
"query": "\"student performance prediction\" in:name,description,readme",
|
| 5081 |
"years": [
|
| 5082 |
-
2026
|
|
|
|
| 5083 |
]
|
| 5084 |
},
|
| 5085 |
"recall26.audio-language-model": {
|
|
@@ -5267,25 +5422,29 @@
|
|
| 5267 |
"rl.preference": {
|
| 5268 |
"query": "\"preference-based reinforcement learning\" in:description",
|
| 5269 |
"years": [
|
| 5270 |
-
2026
|
|
|
|
| 5271 |
]
|
| 5272 |
},
|
| 5273 |
"rl.reinforcement-learning-from-human-feedback": {
|
| 5274 |
"query": "\"reinforcement learning from human feedback\" in:description",
|
| 5275 |
"years": [
|
| 5276 |
-
2026
|
|
|
|
| 5277 |
]
|
| 5278 |
},
|
| 5279 |
"rl.safe": {
|
| 5280 |
"query": "\"safe reinforcement learning\" in:description",
|
| 5281 |
"years": [
|
| 5282 |
-
2026
|
|
|
|
| 5283 |
]
|
| 5284 |
},
|
| 5285 |
"rl.soft-actor-critic": {
|
| 5286 |
"query": "\"soft actor-critic\" in:description",
|
| 5287 |
"years": [
|
| 5288 |
-
2026
|
|
|
|
| 5289 |
]
|
| 5290 |
},
|
| 5291 |
"robotics.autonomous-driving": {
|
|
@@ -5417,31 +5576,36 @@
|
|
| 5417 |
"robotics.slam": {
|
| 5418 |
"query": "SLAM robotics in:description",
|
| 5419 |
"years": [
|
| 5420 |
-
2026
|
|
|
|
| 5421 |
]
|
| 5422 |
},
|
| 5423 |
"robotics.tactile-learning": {
|
| 5424 |
"query": "tactile robot learning in:description,readme",
|
| 5425 |
"years": [
|
| 5426 |
-
2026
|
|
|
|
| 5427 |
]
|
| 5428 |
},
|
| 5429 |
"robotics.teleoperation": {
|
| 5430 |
"query": "robot teleoperation learning in:description,readme",
|
| 5431 |
"years": [
|
| 5432 |
-
2026
|
|
|
|
| 5433 |
]
|
| 5434 |
},
|
| 5435 |
"robotics.visual-language-action": {
|
| 5436 |
"query": "\"vision-language-action\" in:description",
|
| 5437 |
"years": [
|
| 5438 |
-
2026
|
|
|
|
| 5439 |
]
|
| 5440 |
},
|
| 5441 |
"robotics.visuomotor-policy": {
|
| 5442 |
"query": "\"visuomotor policy\" in:description",
|
| 5443 |
"years": [
|
| 5444 |
-
2026
|
|
|
|
| 5445 |
]
|
| 5446 |
},
|
| 5447 |
"science.astronomy": {
|
|
@@ -5573,49 +5737,57 @@
|
|
| 5573 |
"science.quantum-materials": {
|
| 5574 |
"query": "\"quantum materials\" \"machine learning\" in:description,readme",
|
| 5575 |
"years": [
|
| 5576 |
-
2026
|
|
|
|
| 5577 |
]
|
| 5578 |
},
|
| 5579 |
"science.quantum-physics": {
|
| 5580 |
"query": "\"quantum many-body\" \"machine learning\" in:description,readme",
|
| 5581 |
"years": [
|
| 5582 |
-
2026
|
|
|
|
| 5583 |
]
|
| 5584 |
},
|
| 5585 |
"science.remote-sensing": {
|
| 5586 |
"query": "\"remote sensing\" in:description",
|
| 5587 |
"years": [
|
| 5588 |
-
2026
|
|
|
|
| 5589 |
]
|
| 5590 |
},
|
| 5591 |
"science.scientific-machine-learning": {
|
| 5592 |
"query": "\"scientific machine learning\" in:readme",
|
| 5593 |
"years": [
|
| 5594 |
-
2026
|
|
|
|
| 5595 |
]
|
| 5596 |
},
|
| 5597 |
"science.seismic": {
|
| 5598 |
"query": "\"seismic data\" \"machine learning\" in:description,readme",
|
| 5599 |
"years": [
|
| 5600 |
-
2026
|
|
|
|
| 5601 |
]
|
| 5602 |
},
|
| 5603 |
"science.turbulence": {
|
| 5604 |
"query": "turbulence in:description \"machine learning\"",
|
| 5605 |
"years": [
|
| 5606 |
-
2026
|
|
|
|
| 5607 |
]
|
| 5608 |
},
|
| 5609 |
"science.weather-forecasting": {
|
| 5610 |
"query": "\"weather forecasting\" climate in:description",
|
| 5611 |
"years": [
|
| 5612 |
-
2026
|
|
|
|
| 5613 |
]
|
| 5614 |
},
|
| 5615 |
"science.weather-nowcasting": {
|
| 5616 |
"query": "nowcasting in:description \"machine learning\"",
|
| 5617 |
"years": [
|
| 5618 |
-
2026
|
|
|
|
| 5619 |
]
|
| 5620 |
},
|
| 5621 |
"specialized.carbon-footprint-training": {
|
|
@@ -5852,49 +6024,57 @@
|
|
| 5852 |
"timeseries.synthetic-generation": {
|
| 5853 |
"query": "\"time series generation\" in:description,readme",
|
| 5854 |
"years": [
|
| 5855 |
-
2026
|
|
|
|
| 5856 |
]
|
| 5857 |
},
|
| 5858 |
"timeseries.tabular-foundation-models": {
|
| 5859 |
"query": "\"tabular foundation model\" in:description,readme",
|
| 5860 |
"years": [
|
| 5861 |
-
2026
|
|
|
|
| 5862 |
]
|
| 5863 |
},
|
| 5864 |
"timeseries.temporal-fusion-transformer": {
|
| 5865 |
"query": "\"temporal fusion transformer\" in:description",
|
| 5866 |
"years": [
|
| 5867 |
-
2026
|
|
|
|
| 5868 |
]
|
| 5869 |
},
|
| 5870 |
"timeseries.temporal-representation": {
|
| 5871 |
"query": "\"temporal representation learning\" in:readme",
|
| 5872 |
"years": [
|
| 5873 |
-
2026
|
|
|
|
| 5874 |
]
|
| 5875 |
},
|
| 5876 |
"timeseries.topic": {
|
| 5877 |
"query": "topic:time-series",
|
| 5878 |
"years": [
|
| 5879 |
-
2026
|
|
|
|
| 5880 |
]
|
| 5881 |
},
|
| 5882 |
"timeseries.traffic-forecasting": {
|
| 5883 |
"query": "\"traffic forecasting\" in:description",
|
| 5884 |
"years": [
|
| 5885 |
-
2026
|
|
|
|
| 5886 |
]
|
| 5887 |
},
|
| 5888 |
"timeseries.unevenly-spaced": {
|
| 5889 |
"query": "\"irregular time series\" in:description",
|
| 5890 |
"years": [
|
| 5891 |
-
2026
|
|
|
|
| 5892 |
]
|
| 5893 |
},
|
| 5894 |
"timeseries.weather-forecasting": {
|
| 5895 |
"query": "\"weather forecasting\" in:description",
|
| 5896 |
"years": [
|
| 5897 |
-
2026
|
|
|
|
| 5898 |
]
|
| 5899 |
},
|
| 5900 |
"trust.adversarial-robustness": {
|
|
@@ -6026,67 +6206,78 @@
|
|
| 6026 |
"trust.interpretable-ml": {
|
| 6027 |
"query": "\"interpretable machine learning\" in:description",
|
| 6028 |
"years": [
|
| 6029 |
-
2026
|
|
|
|
| 6030 |
]
|
| 6031 |
},
|
| 6032 |
"trust.membership-inference": {
|
| 6033 |
"query": "\"membership inference\" in:description",
|
| 6034 |
"years": [
|
| 6035 |
-
2026
|
|
|
|
| 6036 |
]
|
| 6037 |
},
|
| 6038 |
"trust.ml-fairness": {
|
| 6039 |
"query": "\"machine learning fairness\" in:description",
|
| 6040 |
"years": [
|
| 6041 |
-
2026
|
|
|
|
| 6042 |
]
|
| 6043 |
},
|
| 6044 |
"trust.model-calibration": {
|
| 6045 |
"query": "\"model calibration\" in:description",
|
| 6046 |
"years": [
|
| 6047 |
-
2026
|
|
|
|
| 6048 |
]
|
| 6049 |
},
|
| 6050 |
"trust.neuro-symbolic": {
|
| 6051 |
"query": "\"neuro-symbolic\" in:description",
|
| 6052 |
"years": [
|
| 6053 |
-
2026
|
|
|
|
| 6054 |
]
|
| 6055 |
},
|
| 6056 |
"trust.out-of-distribution-detection": {
|
| 6057 |
"query": "\"out-of-distribution detection\" in:description",
|
| 6058 |
"years": [
|
| 6059 |
-
2026
|
|
|
|
| 6060 |
]
|
| 6061 |
},
|
| 6062 |
"trust.privacy-preserving-ml": {
|
| 6063 |
"query": "\"privacy-preserving machine learning\" in:description",
|
| 6064 |
"years": [
|
| 6065 |
-
2026
|
|
|
|
| 6066 |
]
|
| 6067 |
},
|
| 6068 |
"trust.robustness-certification": {
|
| 6069 |
"query": "\"certified robustness\" in:description",
|
| 6070 |
"years": [
|
| 6071 |
-
2026
|
|
|
|
| 6072 |
]
|
| 6073 |
},
|
| 6074 |
"trust.safe-reinforcement-learning": {
|
| 6075 |
"query": "\"safe reinforcement learning\" constrained in:description",
|
| 6076 |
"years": [
|
| 6077 |
-
2026
|
|
|
|
| 6078 |
]
|
| 6079 |
},
|
| 6080 |
"trust.shap": {
|
| 6081 |
"query": "SHAP in:description",
|
| 6082 |
"years": [
|
| 6083 |
-
2026
|
|
|
|
| 6084 |
]
|
| 6085 |
},
|
| 6086 |
"trust.uncertainty-quantification": {
|
| 6087 |
"query": "\"uncertainty quantification\" in:description",
|
| 6088 |
"years": [
|
| 6089 |
-
2026
|
|
|
|
| 6090 |
]
|
| 6091 |
},
|
| 6092 |
"vision.action-recognition": {
|
|
@@ -6218,55 +6409,64 @@
|
|
| 6218 |
"vision.promptable-segmentation": {
|
| 6219 |
"query": "\"promptable segmentation\" in:readme",
|
| 6220 |
"years": [
|
| 6221 |
-
2026
|
|
|
|
| 6222 |
]
|
| 6223 |
},
|
| 6224 |
"vision.segmentation": {
|
| 6225 |
"query": "\"image segmentation\" in:description",
|
| 6226 |
"years": [
|
| 6227 |
-
2026
|
|
|
|
| 6228 |
]
|
| 6229 |
},
|
| 6230 |
"vision.self-supervised-vision": {
|
| 6231 |
"query": "\"self-supervised vision\" in:description",
|
| 6232 |
"years": [
|
| 6233 |
-
2026
|
|
|
|
| 6234 |
]
|
| 6235 |
},
|
| 6236 |
"vision.topic-computer-vision": {
|
| 6237 |
"query": "topic:computer-vision",
|
| 6238 |
"years": [
|
| 6239 |
-
2026
|
|
|
|
| 6240 |
]
|
| 6241 |
},
|
| 6242 |
"vision.video-generation": {
|
| 6243 |
"query": "\"video generation\" in:readme",
|
| 6244 |
"years": [
|
| 6245 |
-
2026
|
|
|
|
| 6246 |
]
|
| 6247 |
},
|
| 6248 |
"vision.video-understanding": {
|
| 6249 |
"query": "\"video understanding\" in:readme",
|
| 6250 |
"years": [
|
| 6251 |
-
2026
|
|
|
|
| 6252 |
]
|
| 6253 |
},
|
| 6254 |
"vision.vision-language": {
|
| 6255 |
"query": "\"vision-language model\" in:readme",
|
| 6256 |
"years": [
|
| 6257 |
-
2026
|
|
|
|
| 6258 |
]
|
| 6259 |
},
|
| 6260 |
"vision.visual-anomaly-detection": {
|
| 6261 |
"query": "\"visual anomaly detection\" in:readme",
|
| 6262 |
"years": [
|
| 6263 |
-
2026
|
|
|
|
| 6264 |
]
|
| 6265 |
},
|
| 6266 |
"vision.visual-localization": {
|
| 6267 |
"query": "\"visual localization\" in:readme",
|
| 6268 |
"years": [
|
| 6269 |
-
2026
|
|
|
|
| 6270 |
]
|
| 6271 |
}
|
| 6272 |
},
|
|
@@ -6279,5 +6479,5 @@
|
|
| 6279 |
"end": "2026-09-24",
|
| 6280 |
"search_policy_version": 2,
|
| 6281 |
"start_year": 2008,
|
| 6282 |
-
"updated_at": "2026-09-
|
| 6283 |
}
|
|
|
|
| 2346 |
"query": "\"ad ranking\" in:description",
|
| 2347 |
"years": [
|
| 2348 |
2026,
|
| 2349 |
+
2025,
|
| 2350 |
+
2024
|
| 2351 |
]
|
| 2352 |
},
|
| 2353 |
"applied.agricultural-ml": {
|
|
|
|
| 2479 |
"applied.inventory-optimization": {
|
| 2480 |
"query": "\"inventory optimization\" in:readme",
|
| 2481 |
"years": [
|
| 2482 |
+
2026,
|
| 2483 |
+
2025
|
| 2484 |
]
|
| 2485 |
},
|
| 2486 |
"applied.learning-to-rank": {
|
| 2487 |
"query": "\"learning to rank\" in:description",
|
| 2488 |
"years": [
|
| 2489 |
+
2026,
|
| 2490 |
+
2025
|
| 2491 |
]
|
| 2492 |
},
|
| 2493 |
"applied.malware-detection": {
|
| 2494 |
"query": "\"malware detection\" \"machine learning\" in:description,readme",
|
| 2495 |
"years": [
|
| 2496 |
+
2026,
|
| 2497 |
+
2025
|
| 2498 |
]
|
| 2499 |
},
|
| 2500 |
"applied.ml-econometrics": {
|
| 2501 |
"query": "\"machine learning econometrics\" in:readme",
|
| 2502 |
"years": [
|
| 2503 |
+
2026,
|
| 2504 |
+
2025
|
| 2505 |
]
|
| 2506 |
},
|
| 2507 |
"applied.plant-disease-detection": {
|
| 2508 |
"query": "\"plant disease detection\" \"deep learning\" in:description,readme",
|
| 2509 |
"years": [
|
| 2510 |
+
2026,
|
| 2511 |
+
2025
|
| 2512 |
]
|
| 2513 |
},
|
| 2514 |
"applied.portfolio-optimization": {
|
| 2515 |
"query": "\"portfolio optimization\" in:readme",
|
| 2516 |
"years": [
|
| 2517 |
+
2026,
|
| 2518 |
+
2025
|
| 2519 |
]
|
| 2520 |
},
|
| 2521 |
"applied.predictive-maintenance": {
|
| 2522 |
"query": "\"predictive maintenance\" industrial in:description",
|
| 2523 |
"years": [
|
| 2524 |
+
2026,
|
| 2525 |
+
2025
|
| 2526 |
]
|
| 2527 |
},
|
| 2528 |
"applied.process-mining-prediction": {
|
| 2529 |
"query": "\"predictive process monitoring\" in:description,readme",
|
| 2530 |
"years": [
|
| 2531 |
+
2026,
|
| 2532 |
+
2025
|
| 2533 |
]
|
| 2534 |
},
|
| 2535 |
"applied.quantitative-finance": {
|
| 2536 |
"query": "\"quantitative finance\" in:readme",
|
| 2537 |
"years": [
|
| 2538 |
+
2026,
|
| 2539 |
+
2025
|
| 2540 |
]
|
| 2541 |
},
|
| 2542 |
"applied.recommender-systems": {
|
| 2543 |
"query": "\"recommender system\" in:readme",
|
| 2544 |
"years": [
|
| 2545 |
+
2026,
|
| 2546 |
+
2025
|
| 2547 |
]
|
| 2548 |
},
|
| 2549 |
"applied.search-ranking": {
|
| 2550 |
"query": "\"search ranking\" in:readme",
|
| 2551 |
"years": [
|
| 2552 |
+
2026,
|
| 2553 |
+
2025
|
| 2554 |
]
|
| 2555 |
},
|
| 2556 |
"applied.species-distribution-modeling": {
|
| 2557 |
"query": "\"species distribution modeling\" in:description,readme",
|
| 2558 |
"years": [
|
| 2559 |
+
2026,
|
| 2560 |
+
2025
|
| 2561 |
]
|
| 2562 |
},
|
| 2563 |
"applied.supply-chain-optimization": {
|
| 2564 |
"query": "\"supply chain optimization\" in:readme",
|
| 2565 |
"years": [
|
| 2566 |
+
2026,
|
| 2567 |
+
2025
|
| 2568 |
]
|
| 2569 |
},
|
| 2570 |
"applied.tabular-ml": {
|
| 2571 |
"query": "\"tabular data\" in:readme",
|
| 2572 |
"years": [
|
| 2573 |
+
2026,
|
| 2574 |
+
2025
|
| 2575 |
]
|
| 2576 |
},
|
| 2577 |
"applied.time-series-forecasting": {
|
| 2578 |
"query": "\"time series forecasting\" manufacturing in:description",
|
| 2579 |
"years": [
|
| 2580 |
+
2026,
|
| 2581 |
+
2025
|
| 2582 |
]
|
| 2583 |
},
|
| 2584 |
"applied.traffic-prediction": {
|
| 2585 |
"query": "\"traffic prediction\" \"machine learning\" in:description,readme",
|
| 2586 |
"years": [
|
| 2587 |
+
2026,
|
| 2588 |
+
2025
|
| 2589 |
]
|
| 2590 |
},
|
| 2591 |
"applied.uplift-modeling": {
|
| 2592 |
"query": "\"uplift modeling\" in:description",
|
| 2593 |
"years": [
|
| 2594 |
+
2026,
|
| 2595 |
+
2025
|
| 2596 |
]
|
| 2597 |
},
|
| 2598 |
"audio-acoustic-event-classification": {
|
| 2599 |
"query": "\"acoustic scene classification\" in:readme",
|
| 2600 |
"years": [
|
| 2601 |
2026,
|
| 2602 |
+
2025,
|
| 2603 |
+
2024
|
| 2604 |
]
|
| 2605 |
},
|
| 2606 |
"audio-anomaly-detection": {
|
| 2607 |
"query": "\"audio anomaly detection\" in:readme",
|
| 2608 |
"years": [
|
| 2609 |
2026,
|
| 2610 |
+
2025,
|
| 2611 |
+
2024
|
| 2612 |
]
|
| 2613 |
},
|
| 2614 |
"audio-asr": {
|
| 2615 |
"query": "\"automatic speech recognition\" in:readme",
|
| 2616 |
"years": [
|
| 2617 |
2026,
|
| 2618 |
+
2025,
|
| 2619 |
+
2024
|
| 2620 |
]
|
| 2621 |
},
|
| 2622 |
"audio-audio-captioning": {
|
| 2623 |
"query": "\"audio captioning\" in:readme",
|
| 2624 |
"years": [
|
| 2625 |
2026,
|
| 2626 |
+
2025,
|
| 2627 |
+
2024
|
| 2628 |
]
|
| 2629 |
},
|
| 2630 |
"audio-audio-classification": {
|
| 2631 |
"query": "\"audio classification\" in:readme",
|
| 2632 |
"years": [
|
| 2633 |
2026,
|
| 2634 |
+
2025,
|
| 2635 |
+
2024
|
| 2636 |
]
|
| 2637 |
},
|
| 2638 |
"audio-audio-question-answering": {
|
| 2639 |
"query": "\"audio question answering\" in:readme",
|
| 2640 |
"years": [
|
| 2641 |
2026,
|
| 2642 |
+
2025,
|
| 2643 |
+
2024
|
| 2644 |
]
|
| 2645 |
},
|
| 2646 |
"audio-audio-super-resolution": {
|
| 2647 |
"query": "\"audio super-resolution\" in:readme",
|
| 2648 |
"years": [
|
| 2649 |
2026,
|
| 2650 |
+
2025,
|
| 2651 |
+
2024
|
| 2652 |
]
|
| 2653 |
},
|
| 2654 |
"audio-generation": {
|
| 2655 |
"query": "\"audio generation\" in:readme",
|
| 2656 |
"years": [
|
| 2657 |
2026,
|
| 2658 |
+
2025,
|
| 2659 |
+
2024
|
| 2660 |
]
|
| 2661 |
},
|
| 2662 |
"audio-keyword-spotting": {
|
| 2663 |
"query": "\"keyword spotting\" audio in:readme",
|
| 2664 |
"years": [
|
| 2665 |
2026,
|
| 2666 |
+
2025,
|
| 2667 |
+
2024
|
| 2668 |
]
|
| 2669 |
},
|
| 2670 |
"audio-music-generation": {
|
| 2671 |
"query": "\"music generation\" in:readme",
|
| 2672 |
"years": [
|
| 2673 |
2026,
|
| 2674 |
+
2025,
|
| 2675 |
+
2024
|
| 2676 |
]
|
| 2677 |
},
|
| 2678 |
"audio-music-information-retrieval": {
|
| 2679 |
"query": "\"music information retrieval\" in:readme",
|
| 2680 |
"years": [
|
| 2681 |
2026,
|
| 2682 |
+
2025,
|
| 2683 |
+
2024
|
| 2684 |
]
|
| 2685 |
},
|
| 2686 |
"audio-music-recommendation": {
|
| 2687 |
"query": "\"music recommendation\" in:readme",
|
| 2688 |
"years": [
|
| 2689 |
2026,
|
| 2690 |
+
2025,
|
| 2691 |
+
2024
|
| 2692 |
]
|
| 2693 |
},
|
| 2694 |
"audio-music-source-separation": {
|
| 2695 |
"query": "\"music source separation\" in:readme",
|
| 2696 |
"years": [
|
| 2697 |
2026,
|
| 2698 |
+
2025,
|
| 2699 |
+
2024
|
| 2700 |
]
|
| 2701 |
},
|
| 2702 |
"audio-music-transcription": {
|
| 2703 |
"query": "\"automatic music transcription\" in:readme",
|
| 2704 |
"years": [
|
| 2705 |
2026,
|
| 2706 |
+
2025,
|
| 2707 |
+
2024
|
| 2708 |
]
|
| 2709 |
},
|
| 2710 |
"audio-neural-codec": {
|
| 2711 |
"query": "\"neural audio codec\" in:readme",
|
| 2712 |
"years": [
|
| 2713 |
2026,
|
| 2714 |
+
2025,
|
| 2715 |
+
2024
|
| 2716 |
]
|
| 2717 |
},
|
| 2718 |
"audio-sound-event-detection": {
|
| 2719 |
"query": "\"sound event detection\" in:readme",
|
| 2720 |
"years": [
|
| 2721 |
2026,
|
| 2722 |
+
2025,
|
| 2723 |
+
2024
|
| 2724 |
]
|
| 2725 |
},
|
| 2726 |
"audio-source-separation": {
|
| 2727 |
"query": "\"audio source separation\" in:readme",
|
| 2728 |
"years": [
|
| 2729 |
2026,
|
| 2730 |
+
2025,
|
| 2731 |
+
2024
|
| 2732 |
]
|
| 2733 |
},
|
| 2734 |
"audio-speaker-diarization": {
|
| 2735 |
"query": "\"speaker diarization\" in:readme",
|
| 2736 |
"years": [
|
| 2737 |
2026,
|
| 2738 |
+
2025,
|
| 2739 |
+
2024
|
| 2740 |
]
|
| 2741 |
},
|
| 2742 |
"audio-speaker-verification": {
|
| 2743 |
"query": "\"speaker verification\" in:readme",
|
| 2744 |
"years": [
|
| 2745 |
2026,
|
| 2746 |
+
2025,
|
| 2747 |
+
2024
|
| 2748 |
]
|
| 2749 |
},
|
| 2750 |
"audio-speech-emotion-recognition": {
|
| 2751 |
"query": "\"speech emotion recognition\" in:readme",
|
| 2752 |
"years": [
|
| 2753 |
2026,
|
| 2754 |
+
2025,
|
| 2755 |
+
2024
|
| 2756 |
]
|
| 2757 |
},
|
| 2758 |
"audio-speech-enhancement": {
|
| 2759 |
"query": "\"speech enhancement\" in:readme",
|
| 2760 |
"years": [
|
| 2761 |
2026,
|
| 2762 |
+
2025,
|
| 2763 |
+
2024
|
| 2764 |
]
|
| 2765 |
},
|
| 2766 |
"audio-speech-synthesis": {
|
| 2767 |
"query": "\"speech synthesis\" in:readme",
|
| 2768 |
"years": [
|
| 2769 |
2026,
|
| 2770 |
+
2025,
|
| 2771 |
+
2024
|
| 2772 |
]
|
| 2773 |
},
|
| 2774 |
"audio-speech-to-text": {
|
| 2775 |
"query": "\"speech to text\" in:readme",
|
| 2776 |
"years": [
|
| 2777 |
2026,
|
| 2778 |
+
2025,
|
| 2779 |
+
2024
|
| 2780 |
]
|
| 2781 |
},
|
| 2782 |
"audio-speech-translation": {
|
| 2783 |
"query": "\"speech translation\" in:readme",
|
| 2784 |
"years": [
|
| 2785 |
2026,
|
| 2786 |
+
2025,
|
| 2787 |
+
2024
|
| 2788 |
]
|
| 2789 |
},
|
| 2790 |
"audio-text-to-audio": {
|
| 2791 |
"query": "\"text to audio\" in:readme",
|
| 2792 |
"years": [
|
| 2793 |
2026,
|
| 2794 |
+
2025,
|
| 2795 |
+
2024
|
| 2796 |
]
|
| 2797 |
},
|
| 2798 |
"audio-text-to-speech": {
|
| 2799 |
"query": "\"text to speech\" in:readme",
|
| 2800 |
"years": [
|
| 2801 |
2026,
|
| 2802 |
+
2025,
|
| 2803 |
+
2024
|
| 2804 |
]
|
| 2805 |
},
|
| 2806 |
"audio-voice-conversion": {
|
| 2807 |
"query": "\"voice conversion\" in:readme",
|
| 2808 |
"years": [
|
| 2809 |
2026,
|
| 2810 |
+
2025,
|
| 2811 |
+
2024
|
| 2812 |
]
|
| 2813 |
},
|
| 2814 |
"bio.cell-atlas": {
|
| 2815 |
"query": "\"cell atlas\" in:description,readme",
|
| 2816 |
"years": [
|
| 2817 |
2026,
|
| 2818 |
+
2025,
|
| 2819 |
+
2024
|
| 2820 |
]
|
| 2821 |
},
|
| 2822 |
"bio.chemical-biology": {
|
|
|
|
| 2948 |
"bio.rna-language-models": {
|
| 2949 |
"query": "\"RNA language model\" in:description",
|
| 2950 |
"years": [
|
| 2951 |
+
2026,
|
| 2952 |
+
2025
|
| 2953 |
]
|
| 2954 |
},
|
| 2955 |
"bio.rna-structure": {
|
| 2956 |
"query": "\"RNA structure prediction\" in:description,readme",
|
| 2957 |
"years": [
|
| 2958 |
+
2026,
|
| 2959 |
+
2025
|
| 2960 |
]
|
| 2961 |
},
|
| 2962 |
"bio.scrna-seq": {
|
| 2963 |
"query": "\"scRNA-seq\" in:readme",
|
| 2964 |
"years": [
|
| 2965 |
+
2026,
|
| 2966 |
+
2025
|
| 2967 |
]
|
| 2968 |
},
|
| 2969 |
"bio.single-cell": {
|
| 2970 |
"query": "\"single-cell\" in:description",
|
| 2971 |
"years": [
|
| 2972 |
+
2026,
|
| 2973 |
+
2025
|
| 2974 |
]
|
| 2975 |
},
|
| 2976 |
"bio.spatial-transcriptomics": {
|
| 2977 |
"query": "\"spatial transcriptomics\" in:description,readme",
|
| 2978 |
"years": [
|
| 2979 |
+
2026,
|
| 2980 |
+
2025
|
| 2981 |
]
|
| 2982 |
},
|
| 2983 |
"bio.transcriptomics": {
|
| 2984 |
"query": "\"transcriptomics\" in:description",
|
| 2985 |
"years": [
|
| 2986 |
+
2026,
|
| 2987 |
+
2025
|
| 2988 |
]
|
| 2989 |
},
|
| 2990 |
"bio.variant-effects": {
|
| 2991 |
"query": "\"variant effect prediction\" in:readme",
|
| 2992 |
"years": [
|
| 2993 |
+
2026,
|
| 2994 |
+
2025
|
| 2995 |
]
|
| 2996 |
},
|
| 2997 |
"chem-admet": {
|
| 2998 |
"query": "\"ADMET prediction\" in:description,readme",
|
| 2999 |
"years": [
|
| 3000 |
2026,
|
| 3001 |
+
2025,
|
| 3002 |
+
2024
|
| 3003 |
]
|
| 3004 |
},
|
| 3005 |
"chem-binding-affinity": {
|
| 3006 |
"query": "\"binding affinity prediction\" in:description,readme",
|
| 3007 |
"years": [
|
| 3008 |
2026,
|
| 3009 |
+
2025,
|
| 3010 |
+
2024
|
| 3011 |
]
|
| 3012 |
},
|
| 3013 |
"chem-catalyst-discovery": {
|
| 3014 |
"query": "\"catalyst discovery\" in:description,readme",
|
| 3015 |
"years": [
|
| 3016 |
2026,
|
| 3017 |
+
2025,
|
| 3018 |
+
2024
|
| 3019 |
]
|
| 3020 |
},
|
| 3021 |
"chem-cheminformatics": {
|
| 3022 |
"query": "topic:cheminformatics",
|
| 3023 |
"years": [
|
| 3024 |
2026,
|
| 3025 |
+
2025,
|
| 3026 |
+
2024
|
| 3027 |
]
|
| 3028 |
},
|
| 3029 |
"chem-drug-discovery": {
|
| 3030 |
"query": "\"drug discovery\" in:description,readme",
|
| 3031 |
"years": [
|
| 3032 |
2026,
|
| 3033 |
+
2025,
|
| 3034 |
+
2024
|
| 3035 |
]
|
| 3036 |
},
|
| 3037 |
"chem-interatomic-potentials": {
|
| 3038 |
"query": "\"machine learning interatomic potential\" in:description,readme",
|
| 3039 |
"years": [
|
| 3040 |
2026,
|
| 3041 |
+
2025,
|
| 3042 |
+
2024
|
| 3043 |
]
|
| 3044 |
},
|
| 3045 |
"chem-molecular-docking": {
|
| 3046 |
"query": "\"molecular docking\" in:description,readme",
|
| 3047 |
"years": [
|
| 3048 |
2026,
|
| 3049 |
+
2025,
|
| 3050 |
+
2024
|
| 3051 |
]
|
| 3052 |
},
|
| 3053 |
"chem-molecular-dynamics": {
|
| 3054 |
"query": "\"molecular dynamics\" \"machine learning\" in:description,readme",
|
| 3055 |
"years": [
|
| 3056 |
2026,
|
| 3057 |
+
2025,
|
| 3058 |
+
2024
|
| 3059 |
]
|
| 3060 |
},
|
| 3061 |
"chem-molecular-generation": {
|
| 3062 |
"query": "\"molecular generation\" in:description,readme",
|
| 3063 |
"years": [
|
| 3064 |
2026,
|
| 3065 |
+
2025,
|
| 3066 |
+
2024
|
| 3067 |
]
|
| 3068 |
},
|
| 3069 |
"chem-molecular-property-benchmark": {
|
| 3070 |
"query": "MoleculeNet in:description,readme",
|
| 3071 |
"years": [
|
| 3072 |
2026,
|
| 3073 |
+
2025,
|
| 3074 |
+
2024
|
| 3075 |
]
|
| 3076 |
},
|
| 3077 |
"chem-molecular-spectroscopy": {
|
|
|
|
| 3280 |
"efficiency.neural-architecture-search": {
|
| 3281 |
"query": "\"neural architecture search\" in:description",
|
| 3282 |
"years": [
|
| 3283 |
+
2026,
|
| 3284 |
+
2025
|
| 3285 |
]
|
| 3286 |
},
|
| 3287 |
"efficiency.optimizer-state-sharding": {
|
| 3288 |
"query": "\"optimizer state sharding\" in:description",
|
| 3289 |
"years": [
|
| 3290 |
+
2026,
|
| 3291 |
+
2025
|
| 3292 |
]
|
| 3293 |
},
|
| 3294 |
"efficiency.parameter-efficient-finetuning": {
|
| 3295 |
"query": "\"parameter-efficient fine-tuning\" in:description",
|
| 3296 |
"years": [
|
| 3297 |
+
2026,
|
| 3298 |
+
2025
|
| 3299 |
]
|
| 3300 |
},
|
| 3301 |
"efficiency.post-training-quantization": {
|
| 3302 |
"query": "\"post-training quantization\" in:description",
|
| 3303 |
"years": [
|
| 3304 |
+
2026,
|
| 3305 |
+
2025
|
| 3306 |
]
|
| 3307 |
},
|
| 3308 |
"efficiency.pruning": {
|
| 3309 |
"query": "pruning in:description",
|
| 3310 |
"years": [
|
| 3311 |
+
2026,
|
| 3312 |
+
2025
|
| 3313 |
]
|
| 3314 |
},
|
| 3315 |
"efficiency.quantization": {
|
| 3316 |
"query": "quantization in:description",
|
| 3317 |
"years": [
|
| 3318 |
+
2026,
|
| 3319 |
+
2025
|
| 3320 |
]
|
| 3321 |
},
|
| 3322 |
"efficiency.quantization-aware-training": {
|
| 3323 |
"query": "\"quantization-aware training\" in:description",
|
| 3324 |
"years": [
|
| 3325 |
+
2026,
|
| 3326 |
+
2025
|
| 3327 |
]
|
| 3328 |
},
|
| 3329 |
"efficiency.sparse-neural-networks": {
|
| 3330 |
"query": "\"sparse neural network\" in:description",
|
| 3331 |
"years": [
|
| 3332 |
+
2026,
|
| 3333 |
+
2025
|
| 3334 |
]
|
| 3335 |
},
|
| 3336 |
"efficiency.speculative-decoding": {
|
| 3337 |
"query": "\"speculative decoding\" in:description",
|
| 3338 |
"years": [
|
| 3339 |
+
2026,
|
| 3340 |
+
2025
|
| 3341 |
]
|
| 3342 |
},
|
| 3343 |
"gap2026.archaeology-ml": {
|
|
|
|
| 3476 |
"gap2026.math-learned-optimization": {
|
| 3477 |
"query": "\"learned optimizer\" optimization algorithm in:description,readme",
|
| 3478 |
"years": [
|
| 3479 |
+
2026,
|
| 3480 |
+
2025
|
| 3481 |
]
|
| 3482 |
},
|
| 3483 |
"gap2026.math-neural-combinatorial-optimization": {
|
| 3484 |
"query": "\"neural combinatorial optimization\" in:description,readme",
|
| 3485 |
"years": [
|
| 3486 |
+
2026,
|
| 3487 |
+
2025
|
| 3488 |
]
|
| 3489 |
},
|
| 3490 |
"gap2026.neuroimaging-connectome": {
|
| 3491 |
"query": "\"connectome prediction\" machine learning in:description,readme",
|
| 3492 |
"years": [
|
| 3493 |
+
2026,
|
| 3494 |
+
2025
|
| 3495 |
]
|
| 3496 |
},
|
| 3497 |
"gap2026.neuroimaging-eeg": {
|
| 3498 |
"query": "\"EEG deep learning\" in:description,readme",
|
| 3499 |
"years": [
|
| 3500 |
+
2026,
|
| 3501 |
+
2025
|
| 3502 |
]
|
| 3503 |
},
|
| 3504 |
"gap2026.neuroimaging-fmri": {
|
| 3505 |
"query": "\"fMRI machine learning\" in:description,readme",
|
| 3506 |
"years": [
|
| 3507 |
+
2026,
|
| 3508 |
+
2025
|
| 3509 |
]
|
| 3510 |
},
|
| 3511 |
"gap2026.neuroimaging-neural-decoding": {
|
| 3512 |
"query": "\"neural decoding\" machine learning in:description,readme",
|
| 3513 |
"years": [
|
| 3514 |
+
2026,
|
| 3515 |
+
2025
|
| 3516 |
]
|
| 3517 |
},
|
| 3518 |
"gap2026.physics-differentiable-simulation": {
|
| 3519 |
"query": "\"differentiable physics simulation\" in:description,readme",
|
| 3520 |
"years": [
|
| 3521 |
+
2026,
|
| 3522 |
+
2025
|
| 3523 |
]
|
| 3524 |
},
|
| 3525 |
"gap2026.physics-inverse-problem": {
|
| 3526 |
"query": "\"inverse problems\" neural network physics in:description,readme",
|
| 3527 |
"years": [
|
| 3528 |
+
2026,
|
| 3529 |
+
2025
|
| 3530 |
]
|
| 3531 |
},
|
| 3532 |
"gap2026.physics-neural-pde-solver": {
|
| 3533 |
"query": "\"neural PDE solver\" in:description,readme",
|
| 3534 |
"years": [
|
| 3535 |
+
2026,
|
| 3536 |
+
2025
|
| 3537 |
]
|
| 3538 |
},
|
| 3539 |
"gap2026.physics-quantum-ml": {
|
| 3540 |
"query": "\"quantum machine learning\" physics in:description,readme",
|
| 3541 |
"years": [
|
| 3542 |
+
2026,
|
| 3543 |
+
2025
|
| 3544 |
]
|
| 3545 |
},
|
| 3546 |
"general.active-learning": {
|
|
|
|
| 3679 |
"general.machine-learning-description": {
|
| 3680 |
"query": "\"machine learning\" in:description",
|
| 3681 |
"years": [
|
| 3682 |
+
2026,
|
| 3683 |
+
2025
|
| 3684 |
]
|
| 3685 |
},
|
| 3686 |
"general.machine-learning-readme": {
|
| 3687 |
"query": "\"machine learning\" in:readme",
|
| 3688 |
"years": [
|
| 3689 |
+
2026,
|
| 3690 |
+
2025
|
| 3691 |
]
|
| 3692 |
},
|
| 3693 |
"general.matrix-factorization": {
|
| 3694 |
"query": "\"matrix factorization\" \"machine learning\" in:description,readme",
|
| 3695 |
"years": [
|
| 3696 |
+
2026,
|
| 3697 |
+
2025
|
| 3698 |
]
|
| 3699 |
},
|
| 3700 |
"general.meta-learning": {
|
| 3701 |
"query": "\"meta-learning\" in:description,readme",
|
| 3702 |
"years": [
|
| 3703 |
+
2026,
|
| 3704 |
+
2025
|
| 3705 |
]
|
| 3706 |
},
|
| 3707 |
"general.metric-learning": {
|
| 3708 |
"query": "\"metric learning\" in:description,readme",
|
| 3709 |
"years": [
|
| 3710 |
+
2026,
|
| 3711 |
+
2025
|
| 3712 |
]
|
| 3713 |
},
|
| 3714 |
"general.model-architecture": {
|
| 3715 |
"query": "\"model architecture\" in:description",
|
| 3716 |
"years": [
|
| 3717 |
+
2026,
|
| 3718 |
+
2025
|
| 3719 |
]
|
| 3720 |
},
|
| 3721 |
"general.multi-task-learning": {
|
| 3722 |
"query": "\"multi-task learning\" in:description,readme",
|
| 3723 |
"years": [
|
| 3724 |
+
2026,
|
| 3725 |
+
2025
|
| 3726 |
]
|
| 3727 |
},
|
| 3728 |
"general.naive-bayes": {
|
| 3729 |
"query": "\"naive Bayes\" in:description,readme",
|
| 3730 |
"years": [
|
| 3731 |
+
2026,
|
| 3732 |
+
2025
|
| 3733 |
]
|
| 3734 |
},
|
| 3735 |
"general.nearest-neighbors": {
|
| 3736 |
"query": "\"nearest neighbors\" \"machine learning\" in:description,readme",
|
| 3737 |
"years": [
|
| 3738 |
+
2026,
|
| 3739 |
+
2025
|
| 3740 |
]
|
| 3741 |
},
|
| 3742 |
"general.neural-network": {
|
| 3743 |
"query": "\"neural network\" in:description",
|
| 3744 |
"years": [
|
| 3745 |
+
2026,
|
| 3746 |
+
2025
|
| 3747 |
]
|
| 3748 |
},
|
| 3749 |
"general.neural-processes": {
|
| 3750 |
"query": "\"neural processes\" in:description,readme",
|
| 3751 |
"years": [
|
| 3752 |
+
2026,
|
| 3753 |
+
2025
|
| 3754 |
]
|
| 3755 |
},
|
| 3756 |
"general.normalizing-flows": {
|
| 3757 |
"query": "\"normalizing flows\" \"machine learning\" in:description,readme",
|
| 3758 |
"years": [
|
| 3759 |
+
2026,
|
| 3760 |
+
2025
|
| 3761 |
]
|
| 3762 |
},
|
| 3763 |
"general.novel-method": {
|
| 3764 |
"query": "\"novel method\" in:description",
|
| 3765 |
"years": [
|
| 3766 |
+
2026,
|
| 3767 |
+
2025
|
| 3768 |
]
|
| 3769 |
},
|
| 3770 |
"general.paper-implementation": {
|
| 3771 |
"query": "\"paper implementation\" in:description",
|
| 3772 |
"years": [
|
| 3773 |
+
2026,
|
| 3774 |
+
2025
|
| 3775 |
]
|
| 3776 |
},
|
| 3777 |
"general.probabilistic-programming": {
|
| 3778 |
"query": "\"probabilistic programming\" in:description,readme",
|
| 3779 |
"years": [
|
| 3780 |
+
2026,
|
| 3781 |
+
2025
|
| 3782 |
]
|
| 3783 |
},
|
| 3784 |
"general.random-forest": {
|
| 3785 |
"query": "\"random forest\" in:description",
|
| 3786 |
"years": [
|
| 3787 |
+
2026,
|
| 3788 |
+
2025
|
| 3789 |
]
|
| 3790 |
},
|
| 3791 |
"general.research-code": {
|
| 3792 |
"query": "\"research code\" \"machine learning\" in:description,readme",
|
| 3793 |
"years": [
|
| 3794 |
+
2026,
|
| 3795 |
+
2025
|
| 3796 |
]
|
| 3797 |
},
|
| 3798 |
"general.self-supervised-learning": {
|
| 3799 |
"query": "\"self-supervised learning\" in:description",
|
| 3800 |
"years": [
|
| 3801 |
+
2026,
|
| 3802 |
+
2025
|
| 3803 |
]
|
| 3804 |
},
|
| 3805 |
"general.semi-supervised-learning": {
|
| 3806 |
"query": "\"semi-supervised learning\" in:description,readme",
|
| 3807 |
"years": [
|
| 3808 |
+
2026,
|
| 3809 |
+
2025
|
| 3810 |
]
|
| 3811 |
},
|
| 3812 |
"general.support-vector-machine": {
|
| 3813 |
"query": "\"support vector machine\" in:description",
|
| 3814 |
"years": [
|
| 3815 |
+
2026,
|
| 3816 |
+
2025
|
| 3817 |
]
|
| 3818 |
},
|
| 3819 |
"general.topic-artificial-intelligence": {
|
| 3820 |
"query": "topic:artificial-intelligence",
|
| 3821 |
"years": [
|
| 3822 |
+
2026,
|
| 3823 |
+
2025
|
| 3824 |
]
|
| 3825 |
},
|
| 3826 |
"general.topic-deep-learning": {
|
| 3827 |
"query": "topic:deep-learning",
|
| 3828 |
"years": [
|
| 3829 |
+
2026,
|
| 3830 |
+
2025
|
| 3831 |
]
|
| 3832 |
},
|
| 3833 |
"general.topic-machine-learning": {
|
| 3834 |
"query": "topic:machine-learning",
|
| 3835 |
"years": [
|
| 3836 |
+
2026,
|
| 3837 |
+
2025
|
| 3838 |
]
|
| 3839 |
},
|
| 3840 |
"general.transfer-learning": {
|
| 3841 |
"query": "\"transfer learning\" in:description,readme",
|
| 3842 |
"years": [
|
| 3843 |
+
2026,
|
| 3844 |
+
2025
|
| 3845 |
]
|
| 3846 |
},
|
| 3847 |
"general.weak-supervision": {
|
| 3848 |
"query": "\"weak supervision\" \"machine learning\" in:description,readme",
|
| 3849 |
"years": [
|
| 3850 |
+
2026,
|
| 3851 |
+
2025
|
| 3852 |
]
|
| 3853 |
},
|
| 3854 |
"geo.building-footprints": {
|
|
|
|
| 3987 |
"geo.satellite-imagery": {
|
| 3988 |
"query": "\"satellite imagery\" in:readme",
|
| 3989 |
"years": [
|
| 3990 |
+
2026,
|
| 3991 |
+
2025
|
| 3992 |
]
|
| 3993 |
},
|
| 3994 |
"geo.topic-earth-observation": {
|
| 3995 |
"query": "topic:earth-observation",
|
| 3996 |
"years": [
|
| 3997 |
+
2026,
|
| 3998 |
+
2025
|
| 3999 |
]
|
| 4000 |
},
|
| 4001 |
"geo.topic-geospatial": {
|
| 4002 |
"query": "topic:geospatial",
|
| 4003 |
"years": [
|
| 4004 |
+
2026,
|
| 4005 |
+
2025
|
| 4006 |
]
|
| 4007 |
},
|
| 4008 |
"geo.topic-gis": {
|
| 4009 |
"query": "topic:gis",
|
| 4010 |
"years": [
|
| 4011 |
+
2026,
|
| 4012 |
+
2025
|
| 4013 |
]
|
| 4014 |
},
|
| 4015 |
"geo.topic-remote-sensing": {
|
| 4016 |
"query": "topic:remote-sensing",
|
| 4017 |
"years": [
|
| 4018 |
+
2026,
|
| 4019 |
+
2025
|
| 4020 |
]
|
| 4021 |
},
|
| 4022 |
"geo.trajectory-prediction": {
|
| 4023 |
"query": "\"trajectory prediction\" geospatial in:description,readme",
|
| 4024 |
"years": [
|
| 4025 |
+
2026,
|
| 4026 |
+
2025
|
| 4027 |
]
|
| 4028 |
},
|
| 4029 |
"geo.urban-sensing": {
|
| 4030 |
"query": "\"urban remote sensing\" in:readme",
|
| 4031 |
"years": [
|
| 4032 |
+
2026,
|
| 4033 |
+
2025
|
| 4034 |
]
|
| 4035 |
},
|
| 4036 |
"geo.wildfire-mapping": {
|
| 4037 |
"query": "\"wildfire detection\" in:description,readme",
|
| 4038 |
"years": [
|
| 4039 |
+
2026,
|
| 4040 |
+
2025
|
| 4041 |
]
|
| 4042 |
},
|
| 4043 |
"graph.e3-equivariance": {
|
|
|
|
| 4176 |
"graph.persistent-homology": {
|
| 4177 |
"query": "\"persistent homology\" in:description",
|
| 4178 |
"years": [
|
| 4179 |
+
2026,
|
| 4180 |
+
2025
|
| 4181 |
]
|
| 4182 |
},
|
| 4183 |
"graph.point-cloud-learning": {
|
| 4184 |
"query": "\"point cloud deep learning\" in:description",
|
| 4185 |
"years": [
|
| 4186 |
+
2026,
|
| 4187 |
+
2025
|
| 4188 |
]
|
| 4189 |
},
|
| 4190 |
"graph.point-clouds": {
|
| 4191 |
"query": "topic:point-cloud",
|
| 4192 |
"years": [
|
| 4193 |
+
2026,
|
| 4194 |
+
2025
|
| 4195 |
]
|
| 4196 |
},
|
| 4197 |
"graph.representation-learning": {
|
| 4198 |
"query": "\"graph representation learning\" in:readme",
|
| 4199 |
"years": [
|
| 4200 |
+
2026,
|
| 4201 |
+
2025
|
| 4202 |
]
|
| 4203 |
},
|
| 4204 |
"graph.signal-processing": {
|
| 4205 |
"query": "\"graph signal processing\" in:description,readme",
|
| 4206 |
"years": [
|
| 4207 |
+
2026,
|
| 4208 |
+
2025
|
| 4209 |
]
|
| 4210 |
},
|
| 4211 |
"graph.temporal-learning": {
|
| 4212 |
"query": "\"temporal graph\" in:description,readme",
|
| 4213 |
"years": [
|
| 4214 |
+
2026,
|
| 4215 |
+
2025
|
| 4216 |
]
|
| 4217 |
},
|
| 4218 |
"graph.topic-gnn": {
|
| 4219 |
"query": "topic:graph-neural-network",
|
| 4220 |
"years": [
|
| 4221 |
+
2026,
|
| 4222 |
+
2025
|
| 4223 |
]
|
| 4224 |
},
|
| 4225 |
"graph.topological-ml": {
|
| 4226 |
"query": "\"topological machine learning\" in:readme",
|
| 4227 |
"years": [
|
| 4228 |
+
2026,
|
| 4229 |
+
2025
|
| 4230 |
]
|
| 4231 |
},
|
| 4232 |
"llm-code-generation": {
|
|
|
|
| 4393 |
"llm.synthetic-data": {
|
| 4394 |
"query": "\"synthetic data\" in:description",
|
| 4395 |
"years": [
|
| 4396 |
+
2026,
|
| 4397 |
+
2025
|
| 4398 |
]
|
| 4399 |
},
|
| 4400 |
"llm.synthetic-data-generation": {
|
| 4401 |
"query": "\"synthetic data generation\" in:description",
|
| 4402 |
"years": [
|
| 4403 |
+
2026,
|
| 4404 |
+
2025
|
| 4405 |
]
|
| 4406 |
},
|
| 4407 |
"llm.test-time-compute": {
|
| 4408 |
"query": "\"test-time compute\" \"language model\" in:readme",
|
| 4409 |
"years": [
|
| 4410 |
+
2026,
|
| 4411 |
+
2025
|
| 4412 |
]
|
| 4413 |
},
|
| 4414 |
"llm.transformers": {
|
| 4415 |
"query": "\"transformer\" in:description",
|
| 4416 |
"years": [
|
| 4417 |
+
2026,
|
| 4418 |
+
2025
|
| 4419 |
]
|
| 4420 |
},
|
| 4421 |
"materials-battery": {
|
|
|
|
| 4603 |
"medical.neuroimaging": {
|
| 4604 |
"query": "\"neuroimaging machine learning\" in:readme",
|
| 4605 |
"years": [
|
| 4606 |
+
2026,
|
| 4607 |
+
2025
|
| 4608 |
]
|
| 4609 |
},
|
| 4610 |
"medical.ophthalmology": {
|
| 4611 |
"query": "ophthalmology AI retinal in:description,readme",
|
| 4612 |
"years": [
|
| 4613 |
+
2026,
|
| 4614 |
+
2025
|
| 4615 |
]
|
| 4616 |
},
|
| 4617 |
"medical.pathology": {
|
| 4618 |
"query": "\"computational pathology\" in:description",
|
| 4619 |
"years": [
|
| 4620 |
+
2026,
|
| 4621 |
+
2025
|
| 4622 |
]
|
| 4623 |
},
|
| 4624 |
"medical.pathology-foundation-model": {
|
| 4625 |
"query": "\"pathology foundation model\" in:description,readme",
|
| 4626 |
"years": [
|
| 4627 |
+
2026,
|
| 4628 |
+
2025
|
| 4629 |
]
|
| 4630 |
},
|
| 4631 |
"medical.patient-risk": {
|
| 4632 |
"query": "\"patient deterioration prediction\" in:description,readme",
|
| 4633 |
"years": [
|
| 4634 |
+
2026,
|
| 4635 |
+
2025
|
| 4636 |
]
|
| 4637 |
},
|
| 4638 |
"medical.radiology": {
|
| 4639 |
"query": "\"radiology machine learning\" in:readme",
|
| 4640 |
"years": [
|
| 4641 |
+
2026,
|
| 4642 |
+
2025
|
| 4643 |
]
|
| 4644 |
},
|
| 4645 |
"medical.survival-analysis": {
|
| 4646 |
"query": "clinical survival prediction in:description,readme",
|
| 4647 |
"years": [
|
| 4648 |
+
2026,
|
| 4649 |
+
2025
|
| 4650 |
]
|
| 4651 |
},
|
| 4652 |
"medical.wearable-health": {
|
| 4653 |
"query": "\"wearable health monitoring\" in:readme",
|
| 4654 |
"years": [
|
| 4655 |
+
2026,
|
| 4656 |
+
2025
|
| 4657 |
]
|
| 4658 |
},
|
| 4659 |
"multimodal.3d-generation": {
|
|
|
|
| 4792 |
"multimodal.video-question-answering": {
|
| 4793 |
"query": "\"video question answering\" in:readme",
|
| 4794 |
"years": [
|
| 4795 |
+
2026,
|
| 4796 |
+
2025
|
| 4797 |
]
|
| 4798 |
},
|
| 4799 |
"multimodal.video-understanding": {
|
| 4800 |
"query": "\"video-language\" in:description",
|
| 4801 |
"years": [
|
| 4802 |
+
2026,
|
| 4803 |
+
2025
|
| 4804 |
]
|
| 4805 |
},
|
| 4806 |
"multimodal.vision-language": {
|
| 4807 |
"query": "\"vision-language\" in:description",
|
| 4808 |
"years": [
|
| 4809 |
+
2026,
|
| 4810 |
+
2025
|
| 4811 |
]
|
| 4812 |
},
|
| 4813 |
"multimodal.visual-question-answering": {
|
| 4814 |
"query": "\"visual question answering\" in:description",
|
| 4815 |
"years": [
|
| 4816 |
+
2026,
|
| 4817 |
+
2025
|
| 4818 |
]
|
| 4819 |
},
|
| 4820 |
"multimodal.vlm": {
|
| 4821 |
"query": "\"vision-language model\" in:description",
|
| 4822 |
"years": [
|
| 4823 |
+
2026,
|
| 4824 |
+
2025
|
| 4825 |
]
|
| 4826 |
},
|
| 4827 |
"multimodal.world-models": {
|
| 4828 |
"query": "\"world model\" in:description",
|
| 4829 |
"years": [
|
| 4830 |
+
2026,
|
| 4831 |
+
2025
|
| 4832 |
]
|
| 4833 |
},
|
| 4834 |
"nlp-bm25-retrieval": {
|
|
|
|
| 5142 |
"recall.name.foundation-model": {
|
| 5143 |
"query": "foundation model in:name,description,readme",
|
| 5144 |
"years": [
|
| 5145 |
+
2026,
|
| 5146 |
+
2025
|
| 5147 |
]
|
| 5148 |
},
|
| 5149 |
"recall.name.language-model": {
|
| 5150 |
"query": "\"language model\" in:name,description,readme",
|
| 5151 |
"years": [
|
| 5152 |
+
2026,
|
| 5153 |
+
2025
|
| 5154 |
]
|
| 5155 |
},
|
| 5156 |
"recall.name.large-language-model": {
|
| 5157 |
"query": "\"large language model\" in:name,description,readme",
|
| 5158 |
"years": [
|
| 5159 |
+
2026,
|
| 5160 |
+
2025
|
| 5161 |
]
|
| 5162 |
},
|
| 5163 |
"recall.name.machine-learning": {
|
| 5164 |
"query": "\"machine learning\" in:name,description,readme",
|
| 5165 |
"years": [
|
| 5166 |
+
2026,
|
| 5167 |
+
2025
|
| 5168 |
]
|
| 5169 |
},
|
| 5170 |
"recall.name.multimodal-model": {
|
| 5171 |
"query": "multimodal model in:name,description,readme",
|
| 5172 |
"years": [
|
| 5173 |
+
2026,
|
| 5174 |
+
2025
|
| 5175 |
]
|
| 5176 |
},
|
| 5177 |
"recall.name.neural-network": {
|
| 5178 |
"query": "\"neural network\" in:name,description,readme",
|
| 5179 |
"years": [
|
| 5180 |
+
2026,
|
| 5181 |
+
2025
|
| 5182 |
]
|
| 5183 |
},
|
| 5184 |
"recall.name.transformer-model": {
|
| 5185 |
"query": "transformer model in:name,description,readme",
|
| 5186 |
"years": [
|
| 5187 |
+
2026,
|
| 5188 |
+
2025
|
| 5189 |
]
|
| 5190 |
},
|
| 5191 |
"recall.player-tracking": {
|
| 5192 |
"query": "\"player tracking\" computer vision in:name,description,readme",
|
| 5193 |
"years": [
|
| 5194 |
+
2026,
|
| 5195 |
+
2025
|
| 5196 |
]
|
| 5197 |
},
|
| 5198 |
"recall.population-health-prediction": {
|
| 5199 |
"query": "\"population health prediction\" in:name,description,readme",
|
| 5200 |
"years": [
|
| 5201 |
+
2026,
|
| 5202 |
+
2025
|
| 5203 |
]
|
| 5204 |
},
|
| 5205 |
"recall.power-system-forecasting": {
|
| 5206 |
"query": "\"power system forecasting\" in:name,description,readme",
|
| 5207 |
"years": [
|
| 5208 |
+
2026,
|
| 5209 |
+
2025
|
| 5210 |
]
|
| 5211 |
},
|
| 5212 |
"recall.social-media-analysis": {
|
| 5213 |
"query": "\"social media analysis\" NLP in:name,description,readme",
|
| 5214 |
"years": [
|
| 5215 |
+
2026,
|
| 5216 |
+
2025
|
| 5217 |
]
|
| 5218 |
},
|
| 5219 |
"recall.sports-analytics": {
|
| 5220 |
"query": "\"sports analytics\" model in:name,description,readme",
|
| 5221 |
"years": [
|
| 5222 |
+
2026,
|
| 5223 |
+
2025
|
| 5224 |
]
|
| 5225 |
},
|
| 5226 |
"recall.structural-health-monitoring": {
|
| 5227 |
"query": "\"structural health monitoring\" machine learning in:name,description,readme",
|
| 5228 |
"years": [
|
| 5229 |
+
2026,
|
| 5230 |
+
2025
|
| 5231 |
]
|
| 5232 |
},
|
| 5233 |
"recall.student-performance-prediction": {
|
| 5234 |
"query": "\"student performance prediction\" in:name,description,readme",
|
| 5235 |
"years": [
|
| 5236 |
+
2026,
|
| 5237 |
+
2025
|
| 5238 |
]
|
| 5239 |
},
|
| 5240 |
"recall26.audio-language-model": {
|
|
|
|
| 5422 |
"rl.preference": {
|
| 5423 |
"query": "\"preference-based reinforcement learning\" in:description",
|
| 5424 |
"years": [
|
| 5425 |
+
2026,
|
| 5426 |
+
2025
|
| 5427 |
]
|
| 5428 |
},
|
| 5429 |
"rl.reinforcement-learning-from-human-feedback": {
|
| 5430 |
"query": "\"reinforcement learning from human feedback\" in:description",
|
| 5431 |
"years": [
|
| 5432 |
+
2026,
|
| 5433 |
+
2025
|
| 5434 |
]
|
| 5435 |
},
|
| 5436 |
"rl.safe": {
|
| 5437 |
"query": "\"safe reinforcement learning\" in:description",
|
| 5438 |
"years": [
|
| 5439 |
+
2026,
|
| 5440 |
+
2025
|
| 5441 |
]
|
| 5442 |
},
|
| 5443 |
"rl.soft-actor-critic": {
|
| 5444 |
"query": "\"soft actor-critic\" in:description",
|
| 5445 |
"years": [
|
| 5446 |
+
2026,
|
| 5447 |
+
2025
|
| 5448 |
]
|
| 5449 |
},
|
| 5450 |
"robotics.autonomous-driving": {
|
|
|
|
| 5576 |
"robotics.slam": {
|
| 5577 |
"query": "SLAM robotics in:description",
|
| 5578 |
"years": [
|
| 5579 |
+
2026,
|
| 5580 |
+
2025
|
| 5581 |
]
|
| 5582 |
},
|
| 5583 |
"robotics.tactile-learning": {
|
| 5584 |
"query": "tactile robot learning in:description,readme",
|
| 5585 |
"years": [
|
| 5586 |
+
2026,
|
| 5587 |
+
2025
|
| 5588 |
]
|
| 5589 |
},
|
| 5590 |
"robotics.teleoperation": {
|
| 5591 |
"query": "robot teleoperation learning in:description,readme",
|
| 5592 |
"years": [
|
| 5593 |
+
2026,
|
| 5594 |
+
2025
|
| 5595 |
]
|
| 5596 |
},
|
| 5597 |
"robotics.visual-language-action": {
|
| 5598 |
"query": "\"vision-language-action\" in:description",
|
| 5599 |
"years": [
|
| 5600 |
+
2026,
|
| 5601 |
+
2025
|
| 5602 |
]
|
| 5603 |
},
|
| 5604 |
"robotics.visuomotor-policy": {
|
| 5605 |
"query": "\"visuomotor policy\" in:description",
|
| 5606 |
"years": [
|
| 5607 |
+
2026,
|
| 5608 |
+
2025
|
| 5609 |
]
|
| 5610 |
},
|
| 5611 |
"science.astronomy": {
|
|
|
|
| 5737 |
"science.quantum-materials": {
|
| 5738 |
"query": "\"quantum materials\" \"machine learning\" in:description,readme",
|
| 5739 |
"years": [
|
| 5740 |
+
2026,
|
| 5741 |
+
2025
|
| 5742 |
]
|
| 5743 |
},
|
| 5744 |
"science.quantum-physics": {
|
| 5745 |
"query": "\"quantum many-body\" \"machine learning\" in:description,readme",
|
| 5746 |
"years": [
|
| 5747 |
+
2026,
|
| 5748 |
+
2025
|
| 5749 |
]
|
| 5750 |
},
|
| 5751 |
"science.remote-sensing": {
|
| 5752 |
"query": "\"remote sensing\" in:description",
|
| 5753 |
"years": [
|
| 5754 |
+
2026,
|
| 5755 |
+
2025
|
| 5756 |
]
|
| 5757 |
},
|
| 5758 |
"science.scientific-machine-learning": {
|
| 5759 |
"query": "\"scientific machine learning\" in:readme",
|
| 5760 |
"years": [
|
| 5761 |
+
2026,
|
| 5762 |
+
2025
|
| 5763 |
]
|
| 5764 |
},
|
| 5765 |
"science.seismic": {
|
| 5766 |
"query": "\"seismic data\" \"machine learning\" in:description,readme",
|
| 5767 |
"years": [
|
| 5768 |
+
2026,
|
| 5769 |
+
2025
|
| 5770 |
]
|
| 5771 |
},
|
| 5772 |
"science.turbulence": {
|
| 5773 |
"query": "turbulence in:description \"machine learning\"",
|
| 5774 |
"years": [
|
| 5775 |
+
2026,
|
| 5776 |
+
2025
|
| 5777 |
]
|
| 5778 |
},
|
| 5779 |
"science.weather-forecasting": {
|
| 5780 |
"query": "\"weather forecasting\" climate in:description",
|
| 5781 |
"years": [
|
| 5782 |
+
2026,
|
| 5783 |
+
2025
|
| 5784 |
]
|
| 5785 |
},
|
| 5786 |
"science.weather-nowcasting": {
|
| 5787 |
"query": "nowcasting in:description \"machine learning\"",
|
| 5788 |
"years": [
|
| 5789 |
+
2026,
|
| 5790 |
+
2025
|
| 5791 |
]
|
| 5792 |
},
|
| 5793 |
"specialized.carbon-footprint-training": {
|
|
|
|
| 6024 |
"timeseries.synthetic-generation": {
|
| 6025 |
"query": "\"time series generation\" in:description,readme",
|
| 6026 |
"years": [
|
| 6027 |
+
2026,
|
| 6028 |
+
2025
|
| 6029 |
]
|
| 6030 |
},
|
| 6031 |
"timeseries.tabular-foundation-models": {
|
| 6032 |
"query": "\"tabular foundation model\" in:description,readme",
|
| 6033 |
"years": [
|
| 6034 |
+
2026,
|
| 6035 |
+
2025
|
| 6036 |
]
|
| 6037 |
},
|
| 6038 |
"timeseries.temporal-fusion-transformer": {
|
| 6039 |
"query": "\"temporal fusion transformer\" in:description",
|
| 6040 |
"years": [
|
| 6041 |
+
2026,
|
| 6042 |
+
2025
|
| 6043 |
]
|
| 6044 |
},
|
| 6045 |
"timeseries.temporal-representation": {
|
| 6046 |
"query": "\"temporal representation learning\" in:readme",
|
| 6047 |
"years": [
|
| 6048 |
+
2026,
|
| 6049 |
+
2025
|
| 6050 |
]
|
| 6051 |
},
|
| 6052 |
"timeseries.topic": {
|
| 6053 |
"query": "topic:time-series",
|
| 6054 |
"years": [
|
| 6055 |
+
2026,
|
| 6056 |
+
2025
|
| 6057 |
]
|
| 6058 |
},
|
| 6059 |
"timeseries.traffic-forecasting": {
|
| 6060 |
"query": "\"traffic forecasting\" in:description",
|
| 6061 |
"years": [
|
| 6062 |
+
2026,
|
| 6063 |
+
2025
|
| 6064 |
]
|
| 6065 |
},
|
| 6066 |
"timeseries.unevenly-spaced": {
|
| 6067 |
"query": "\"irregular time series\" in:description",
|
| 6068 |
"years": [
|
| 6069 |
+
2026,
|
| 6070 |
+
2025
|
| 6071 |
]
|
| 6072 |
},
|
| 6073 |
"timeseries.weather-forecasting": {
|
| 6074 |
"query": "\"weather forecasting\" in:description",
|
| 6075 |
"years": [
|
| 6076 |
+
2026,
|
| 6077 |
+
2025
|
| 6078 |
]
|
| 6079 |
},
|
| 6080 |
"trust.adversarial-robustness": {
|
|
|
|
| 6206 |
"trust.interpretable-ml": {
|
| 6207 |
"query": "\"interpretable machine learning\" in:description",
|
| 6208 |
"years": [
|
| 6209 |
+
2026,
|
| 6210 |
+
2025
|
| 6211 |
]
|
| 6212 |
},
|
| 6213 |
"trust.membership-inference": {
|
| 6214 |
"query": "\"membership inference\" in:description",
|
| 6215 |
"years": [
|
| 6216 |
+
2026,
|
| 6217 |
+
2025
|
| 6218 |
]
|
| 6219 |
},
|
| 6220 |
"trust.ml-fairness": {
|
| 6221 |
"query": "\"machine learning fairness\" in:description",
|
| 6222 |
"years": [
|
| 6223 |
+
2026,
|
| 6224 |
+
2025
|
| 6225 |
]
|
| 6226 |
},
|
| 6227 |
"trust.model-calibration": {
|
| 6228 |
"query": "\"model calibration\" in:description",
|
| 6229 |
"years": [
|
| 6230 |
+
2026,
|
| 6231 |
+
2025
|
| 6232 |
]
|
| 6233 |
},
|
| 6234 |
"trust.neuro-symbolic": {
|
| 6235 |
"query": "\"neuro-symbolic\" in:description",
|
| 6236 |
"years": [
|
| 6237 |
+
2026,
|
| 6238 |
+
2025
|
| 6239 |
]
|
| 6240 |
},
|
| 6241 |
"trust.out-of-distribution-detection": {
|
| 6242 |
"query": "\"out-of-distribution detection\" in:description",
|
| 6243 |
"years": [
|
| 6244 |
+
2026,
|
| 6245 |
+
2025
|
| 6246 |
]
|
| 6247 |
},
|
| 6248 |
"trust.privacy-preserving-ml": {
|
| 6249 |
"query": "\"privacy-preserving machine learning\" in:description",
|
| 6250 |
"years": [
|
| 6251 |
+
2026,
|
| 6252 |
+
2025
|
| 6253 |
]
|
| 6254 |
},
|
| 6255 |
"trust.robustness-certification": {
|
| 6256 |
"query": "\"certified robustness\" in:description",
|
| 6257 |
"years": [
|
| 6258 |
+
2026,
|
| 6259 |
+
2025
|
| 6260 |
]
|
| 6261 |
},
|
| 6262 |
"trust.safe-reinforcement-learning": {
|
| 6263 |
"query": "\"safe reinforcement learning\" constrained in:description",
|
| 6264 |
"years": [
|
| 6265 |
+
2026,
|
| 6266 |
+
2025
|
| 6267 |
]
|
| 6268 |
},
|
| 6269 |
"trust.shap": {
|
| 6270 |
"query": "SHAP in:description",
|
| 6271 |
"years": [
|
| 6272 |
+
2026,
|
| 6273 |
+
2025
|
| 6274 |
]
|
| 6275 |
},
|
| 6276 |
"trust.uncertainty-quantification": {
|
| 6277 |
"query": "\"uncertainty quantification\" in:description",
|
| 6278 |
"years": [
|
| 6279 |
+
2026,
|
| 6280 |
+
2025
|
| 6281 |
]
|
| 6282 |
},
|
| 6283 |
"vision.action-recognition": {
|
|
|
|
| 6409 |
"vision.promptable-segmentation": {
|
| 6410 |
"query": "\"promptable segmentation\" in:readme",
|
| 6411 |
"years": [
|
| 6412 |
+
2026,
|
| 6413 |
+
2025
|
| 6414 |
]
|
| 6415 |
},
|
| 6416 |
"vision.segmentation": {
|
| 6417 |
"query": "\"image segmentation\" in:description",
|
| 6418 |
"years": [
|
| 6419 |
+
2026,
|
| 6420 |
+
2025
|
| 6421 |
]
|
| 6422 |
},
|
| 6423 |
"vision.self-supervised-vision": {
|
| 6424 |
"query": "\"self-supervised vision\" in:description",
|
| 6425 |
"years": [
|
| 6426 |
+
2026,
|
| 6427 |
+
2025
|
| 6428 |
]
|
| 6429 |
},
|
| 6430 |
"vision.topic-computer-vision": {
|
| 6431 |
"query": "topic:computer-vision",
|
| 6432 |
"years": [
|
| 6433 |
+
2026,
|
| 6434 |
+
2025
|
| 6435 |
]
|
| 6436 |
},
|
| 6437 |
"vision.video-generation": {
|
| 6438 |
"query": "\"video generation\" in:readme",
|
| 6439 |
"years": [
|
| 6440 |
+
2026,
|
| 6441 |
+
2025
|
| 6442 |
]
|
| 6443 |
},
|
| 6444 |
"vision.video-understanding": {
|
| 6445 |
"query": "\"video understanding\" in:readme",
|
| 6446 |
"years": [
|
| 6447 |
+
2026,
|
| 6448 |
+
2025
|
| 6449 |
]
|
| 6450 |
},
|
| 6451 |
"vision.vision-language": {
|
| 6452 |
"query": "\"vision-language model\" in:readme",
|
| 6453 |
"years": [
|
| 6454 |
+
2026,
|
| 6455 |
+
2025
|
| 6456 |
]
|
| 6457 |
},
|
| 6458 |
"vision.visual-anomaly-detection": {
|
| 6459 |
"query": "\"visual anomaly detection\" in:readme",
|
| 6460 |
"years": [
|
| 6461 |
+
2026,
|
| 6462 |
+
2025
|
| 6463 |
]
|
| 6464 |
},
|
| 6465 |
"vision.visual-localization": {
|
| 6466 |
"query": "\"visual localization\" in:readme",
|
| 6467 |
"years": [
|
| 6468 |
+
2026,
|
| 6469 |
+
2025
|
| 6470 |
]
|
| 6471 |
}
|
| 6472 |
},
|
|
|
|
| 6479 |
"end": "2026-09-24",
|
| 6480 |
"search_policy_version": 2,
|
| 6481 |
"start_year": 2008,
|
| 6482 |
+
"updated_at": "2026-09-29T17:12:21Z"
|
| 6483 |
}
|