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mqtl-classification-using-dnabert-6

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mqtl-classification-using-dnabert-6

91 kB

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2 contributors

History: 18 commits

Soumic

:lady_beetle: Repaired some major mistakes, but the model returns accuracy = 50%

d06b274 over 1 year ago

.env_sample

30 Bytes
:hammer_and_pick: Update dnabert6 classifier to run on huggingface over 1 year ago
.gitattributes

1.52 kB
initial commit over 1 year ago
.gitignore

3.27 kB
:see_no_evil: Update the gitignore file over 1 year ago
Dockerfile

1.06 kB
:lady_beetle: Fix cache folder permissions over 1 year ago
README.md

474 Bytes
:lady_beetle: Repaired some major mistakes, but the model returns accuracy = 50% over 1 year ago
app_v1_backup.py

13.5 kB
:zap: Ready the app.py for next experiment. Looks ok over 1 year ago
app_v2.py

19.3 kB
:hammer_and_pick: Move old code to app_v2.py, and rewrite app.py just like hyenadna finetune over 1 year ago
failed_app.py

13.4 kB
:zap: Ready the app.py for next experiment. Looks ok over 1 year ago
failed_app_v3.py

19.4 kB
:lady_beetle: Repaired some major mistakes, but the model returns accuracy = 50% over 1 year ago
failed_app_v4.py

18.4 kB
:lady_beetle: Repaired some major mistakes, but the model returns accuracy = 50% over 1 year ago
requirements.txt

581 Bytes
:hammer_and_pick: Update dnabert6 classifier to run on huggingface over 1 year ago