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mqtl-classification-using-dnabert-6
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mqtl-classification-using-dnabert-6
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History:
18 commits
Soumic
:lady_beetle: Repaired some major mistakes, but the model returns accuracy = 50%
d06b274
19 days ago
.env_sample
Safe
30 Bytes
:hammer_and_pick: Update dnabert6 classifier to run on huggingface
about 2 months ago
.gitattributes
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1.52 kB
initial commit
about 2 months ago
.gitignore
Safe
3.27 kB
:see_no_evil: Update the gitignore file
27 days ago
Dockerfile
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1.06 kB
:lady_beetle: Fix cache folder permissions
about 2 months ago
README.md
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474 Bytes
:lady_beetle: Repaired some major mistakes, but the model returns accuracy = 50%
19 days ago
app_v1_backup.py
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13.5 kB
:zap: Ready the app.py for next experiment. Looks ok
26 days ago
app_v2.py
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19.3 kB
:hammer_and_pick: Move old code to app_v2.py, and rewrite app.py just like hyenadna finetune
27 days ago
failed_app.py
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13.4 kB
:zap: Ready the app.py for next experiment. Looks ok
26 days ago
failed_app_v3.py
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19.4 kB
:lady_beetle: Repaired some major mistakes, but the model returns accuracy = 50%
19 days ago
failed_app_v4.py
Safe
18.4 kB
:lady_beetle: Repaired some major mistakes, but the model returns accuracy = 50%
19 days ago
requirements.txt
Safe
581 Bytes
:hammer_and_pick: Update dnabert6 classifier to run on huggingface
about 2 months ago