Spark, executorch and trl

PyTorchConference2025_GithubRepos.json

@@ -146,9 +146,10 @@
   {
     "repo_name": "spark",
     "repo_link": "https://github.com/apache/spark",
+    "category": "data processing",
     "github_about_section": "Apache Spark - A unified analytics engine for large-scale data processing",
     "homepage_link": "https://spark.apache.org",
-    "github_topic_closest_fit": "big-data",
+    "github_topic_closest_fit": "data-processing",
     "contributors_all": 3083,
     "contributors_2025": 322,
     "contributors_2024": 300,
@@ -208,6 +209,7 @@
     "category": "model compiler",
     "github_about_section": "On-device AI across mobile, embedded and edge for PyTorch",
     "homepage_link": "https://executorch.ai",
+    "github_topic_closest_fit": "inference",
     "contributors_all": 437,
     "contributors_2025": 267,
     "contributors_2024": 243,
@@ -276,8 +278,10 @@
   {
     "repo_name": "trl",
     "repo_link": "https://github.com/huggingface/trl",
+    "category": "reinforcement learning",
     "github_about_section": "Train transformer language models with reinforcement learning.",
     "homepage_link": "http://hf.co/docs/trl",
+    "github_topic_closest_fit": "reinforcement-learning",
     "contributors_all": 433,
     "contributors_2025": 189,
     "contributors_2024": 154,