microsoft / nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Summary
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| Main Code: 66,104 LOC (663 files) = PY (61%) + TS (24%) + TSX (9%) + SCSS (2%) + JS (1%) + YML (<1%) + CSS (<1%) + HTML (<1%) Secondary code: Test: 17,630 LOC (237); Generated: 0 LOC (0); Build & Deploy: 474 LOC (2); Other: 46,292 LOC (561); |
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| Duplication: 10% | |||
| File Size: 0% long (>1000 LOC), 51% short (<= 200 LOC) | |||
| Unit Size: 3% long (>100 LOC), 53% short (<= 10 LOC) | |||
| Conditional Complexity: 3% complex (McCabe index > 50), 58% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (16 components) | ||
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3 years, 8 months old
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<1% 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
84 files |
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Latest commit date: 2022-01-27
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39
commits
(30 days)
7
contributors
(30 days) |
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