TaikoChartEstimator JacobLinCool · PARTIAL
MIL-based Taiko chart difficulty estimator that predicts difficulty class and star rating from note charts. The model uses Transformer instance encoders, multi-branch attention MIL pooling, monotonic calibration, and multi-task losses (classification, censored regression, within-song ranking) with optional curriculum scheduling.
github.com/JacobLinCool/TaikoChartEstimator · ★ 0 · Forks 0 · Size 697 KB
SUMMARY
Technologies 21
Scored 8
Observed 8
Practices 6
Evidence 23
Skips 13
COVERAGE
Analyzed 39 files · 13 commits · 0 API calls
TECHNOLOGIES & DEPTH
TOML LANGUAGE Depth 70
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Markdown LANGUAGE Depth 70
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Python LANGUAGE Depth 70
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uv BUILD_TOOL Depth 80
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pip BUILD_TOOL Depth 80
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Poetry BUILD_TOOL Depth 80
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NumPy LIBRARY Depth 74
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TypeScript LANGUAGE Depth 58
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PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-12-28
Last commit 2026-01-02
Active months 2
Commits 13