microsoft / EdgeML
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
Summary
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| Main Code: 224,730 LOC (1313 files) = H (54%) + F (16%) + CPP (10%) + PY (9%) + C (3%) + HH (1%) + CMAKE (1%) + IN (<1%) + CU (<1%) + CC (<1%) + INO (<1%) + CXX (<1%) + CS (<1%) + CSS (<1%) + JS (<1%) + VCXPROJ (<1%) + G4 (<1%) + FILTERS (<1%) Secondary code: Test: 36,023 LOC (251); Generated: 0 LOC (0); Build & Deploy: 699 LOC (20); Other: 23,870 LOC (226); |
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| File Size: 28% long (>1000 LOC), 24% short (<= 200 LOC) | |||
| Unit Size: 17% long (>100 LOC), 44% short (<= 10 LOC) | |||
| Conditional Complexity: 11% complex (McCabe index > 50), 55% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (12 components) | ||
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4 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
187 files |
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Latest commit date: 2021-07-08
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