KANX Mattral · PARTIAL
One library, four surfaces. Production-grade Kolmogorov-Arnold Networks || TensorFlow + PyTorch + ONNX. || A small KAN beats a 10× larger MLP on smooth, separable target. One library. Two backends. Real ONNX export. Docker + Kubernetes ready.
github.com/Mattral/KANX · ★ 37 · Forks 8 · Size 4.3 MB
SUMMARY
Technologies 21
Scored 16
Observed 16
Practices 6
Evidence 23
Skips 5
COVERAGE
Analyzed 123 files · 239 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
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Shell LANGUAGE Depth 70
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JSON LANGUAGE Depth 70
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Markdown LANGUAGE Depth 70
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TOML LANGUAGE Depth 70
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YAML LANGUAGE Depth 70
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Python LANGUAGE Depth 70
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pip BUILD_TOOL Depth 80
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Poetry BUILD_TOOL Depth 80
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Black QUALITY Depth —
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FastAPI FRAMEWORK Depth 74
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HTTPX LIBRARY Depth —
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NumPy LIBRARY Depth 85
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Pydantic LIBRARY Depth 58
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Requests LIBRARY Depth 66
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Ruff QUALITY Depth —
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TypeScript LANGUAGE Depth 62
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Uvicorn LIBRARY Depth —
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mypy QUALITY Depth —
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pandas LIBRARY Depth 58
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pytest TESTING Depth 53
13 files · TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · observedlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2024-05-04
Last commit 2026-07-09
Active months 8
Commits 239