pytorch / ignite
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Summary
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| Main Code: 9,501 LOC (110 files) = PY (98%) + CFG (<1%) + YAML (<1%) + TOML (<1%) + YML (<1%) Secondary code: Test: 25,165 LOC (119); Generated: 0 LOC (0); Build & Deploy: 120 LOC (3); Other: 17,239 LOC (85); |
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| Duplication: 12% | |||
| File Size: 0% long (>1000 LOC), 58% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 76% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 71% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (11 components) | ||
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4 years, 2 months old
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9% 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
3 files |
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Latest commit date: 2022-01-23
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24
commits
(30 days)
9
contributors
(30 days) |
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