facebookresearch / bio-lm
We evaluate many models used for biomedical and clinical nlp tasks, and train new models that perform much better.
Summary
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| Main Code: 2,543 LOC (9 files) = PY (100%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 255 LOC (3); Other: 240 LOC (3); |
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| Duplication: 39% | |||
| File Size: 0% long (>1000 LOC), 13% short (<= 200 LOC) | |||
| Unit Size: 39% long (>100 LOC), 18% short (<= 10 LOC) | |||
| Conditional Complexity: 47% complex (McCabe index > 50), 17% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (2 components) | ||
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10 months old
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0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
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| Goals: Keep the system simple and easy to change (4) | |||
Latest commit date: 2021-07-22
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