Repositories related to the scikit-learn Python machine learning library.
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The scikit-learn organization on GitHub hosts a wide range of repositories related to the popular scikit-learn Python machine learning library. Key projects include the core scikit-learn library, benchmarks for various machine learning packages, and enhancement proposals, all primarily developed in Python, alongside other languages such as SCSS and TeX.
scikit-learn: machine learning in Python
Benchmarks for various machine learning packages
Enhancement proposals for scikit-learn: structured discussions and rational for large additions and modifications
No description provided for this repository.
Data used in some examples
Results of scikit-learn asv benchmarks
Project management related documents for scikit-learn
Hosting the scikit-learn blog.
Script to configure a cloud server to build the documentation and plots and update the sklearn website
A conda-smithy repository for scikit-learn.
Issues and content related to communicating about scikit-learn
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Organizational level files for scikit-learn GitHub repositories
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A dedicated asv suite for scikit-learn private PairwiseDistancesReductions
Placeholder repository to display a redirection page
No description provided for this repository.
scikit-learn builds a variety of repositories on GitHub, focusing on machine learning in Python. Notable projects include the core scikit-learn library, benchmarks, and enhancement proposals, which facilitate structured discussions on improvements.
The primary programming language used by scikit-learn is Python. Other languages employed in their repositories include SCSS for styling, Shell for scripts, and TeX for documentation.
Yes, all repositories under the scikit-learn organization on GitHub are public. This transparency allows users and developers to access, contribute to, and audit the projects openly.
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