apachecn/sklearn-doc-zh
As an AI tool, apachecn/sklearn-doc-zh has picked up 5.2k stars on GitHub (CSS). :book: [译] scikit-learn(sklearn) 中文文档
Snapshot summary built from the project's own GitHub metadata — there's no written TopGit review yet. The page will update automatically when a full review is published.
TopGit writes full reviews for the most-starred, most-requested repositories. This page is a snapshot until then — see the READ ME tab for the original README in full.
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Quick answers
How active is development on apachecn/sklearn-doc-zh?
The most recent commit recorded on apachecn/sklearn-doc-zh was 3.1 years ago, based on the GitHub push timestamp. The repository has 1.5k forks — one of the better signals of community interest.
How does apachecn/sklearn-doc-zh compare to other AI Tools projects?
apachecn/sklearn-doc-zh is tracked by TopGit in the AI Tools category, with 5.2k GitHub stars and written in CSS. Browse the AI Tools topic page on TopGit to compare it against similar projects by stars and activity.
How many stars does apachecn/sklearn-doc-zh have?
apachecn/sklearn-doc-zh has 5.2k GitHub stars — refresh the page for the live number, or check github.com/apachecn/sklearn-doc-zh. TopGit mirrors GitHub's count but does not claim minute-by-minute accuracy.
What is apachecn/sklearn-doc-zh?
apachecn/sklearn-doc-zh (apachecn/sklearn-doc-zh) is a CSS project on GitHub. From the project's own README: :book: [译] scikit-learn(sklearn) 中文文档
What language is apachecn/sklearn-doc-zh written in?
apachecn/sklearn-doc-zh is written primarily in CSS. GitHub's language field is based on the largest share of bytes in the default branch.
What topics is apachecn/sklearn-doc-zh associated with?
GitHub's repository topics for apachecn/sklearn-doc-zh: "documentation", "machine-learning", "python", "scikit-learn". TopGit's editorial category is AI Tools.
Why is apachecn/sklearn-doc-zh categorized under AI Tools?
TopGit places apachecn/sklearn-doc-zh in the AI Tools category based on its GitHub topics and description (tagged: "documentation", "machine-learning", "python"). Categories are assigned from real repository metadata, not editorial guesswork.
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