pytorch / opacus
Training PyTorch models with differential privacy
Summary
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| Main Code: 5,464 LOC (69 files) = PY (63%) + CSS (25%) + JS (10%) + PS1 (<1%) + IN (<1%) Secondary code: Test: 3,252 LOC (38); Generated: 0 LOC (0); Build & Deploy: 160 LOC (4); Other: 4,358 LOC (58); |
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| Duplication: 4% | |||
| File Size: 0% long (>1000 LOC), 46% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 74% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 93% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (16 components) | ||
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1 year, 11 months old
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4% 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
5 files |
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Latest commit date: 2022-01-21
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4
commits
(30 days)
3
contributors
(30 days) |
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