repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
IntelPython/scikit-learn_bench
scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently support the scikit-learn, DAAL4PY, cuML, and XGBoost frameworks for commonly used machine learning algorithms.
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 54%IN 2026 ML BOOK OUTDATED? [D] →
- PossiblePossibly related (embedding) · 53%Introducing GeneBench-Pro →
- PossiblePossibly related (embedding) · 53%New machine-learning tool improves accuracy of genomics research - Phys.org →
- PossiblePossibly related (embedding) · 48%Scaling Snowflake’s Partner Program with Machine Learning - Snowflake →