facebookresearch / XLM
PyTorch original implementation of Cross-lingual Language Model Pretraining.
Summary
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| Main Code: 8,421 LOC (53 files) = PY (96%) + PERL (3%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 684 LOC (9); Other: 673 LOC (5); |
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| Duplication: 95% | |||
| File Size: 0% long (>1000 LOC), 37% short (<= 200 LOC) | |||
| Unit Size: 2% long (>100 LOC), 32% short (<= 10 LOC) | |||
| Conditional Complexity: 12% complex (McCabe index > 50), 37% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (10 components) | ||
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2 years, 11 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
6 files |
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Latest commit date: 2021-04-01
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(30 days)
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