aws-samples / deep-learning-models
Natural language processing & computer vision models optimized for AWS
Summary
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| Main Code: 24,263 LOC (286 files) = PY (96%) + YML (2%) + YAML (<1%) + GO (<1%) + CFG (<1%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 280 LOC (14); Other: 60,014 LOC (23); |
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| Duplication: 47% | |||
| File Size: 0% long (>1000 LOC), 63% short (<= 200 LOC) | |||
| Unit Size: 12% long (>100 LOC), 41% short (<= 10 LOC) | |||
| Conditional Complexity: 6% complex (McCabe index > 50), 64% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (14 components) | ||
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3 years, 6 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
27 files |
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Latest commit date: 2021-03-05
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(30 days)
0
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