facebookresearch / vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
Summary
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| Main Code: 45,422 LOC (782 files) = PY (49%) + YAML (48%) + JS (1%) + CSS (1%) + CFG (<1%) + IN (<1%) Secondary code: Test: 8,137 LOC (86); Generated: 0 LOC (0); Build & Deploy: 435 LOC (21); Other: 6,363 LOC (46); |
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| Duplication: 52% | |||
| File Size: 0% long (>1000 LOC), 78% short (<= 200 LOC) | |||
| Unit Size: <1% long (>100 LOC), 53% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 69% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (26 components) | ||
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12 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) | |||
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Features of interest:
TODOs
29 files |
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Latest commit date: 2022-01-10
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13
commits
(30 days)
3
contributors
(30 days) |
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