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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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Python
124
74
35 contributors
Apache License 2.0
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Momentum

How fast IntelPython/scikit-learn_bench is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Sep 9 – Nov 5, 2026

Stars +2 in 58 days

01
1

Forks +0 in 58 days

01

Merged PRs 4 in 58 days

01
1

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Sep 9Sep 17Sep 25Oct 3Oct 11Oct 19Oct 27Nov 4
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
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Total+2+04
  • 1#1 on the list
  • 7Rank that day
  • Not trending

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