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hyperlearn
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hyperlearn

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

by unslothai · GitHub
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data-analysisdata-sciencedeep-learningApache-2.0Jupyter Notebook
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Access faster machine learning algorithms that use less memory and work on any computer, old or new.

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2026-07-072026-08-31
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2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

hyperlearn has 2.5k stars on GitHub. It has been forked 165 times. hyperlearn is written mainly in Jupyter Notebook. It has been in active development since 2018. hyperlearn is available under the Apache-2.0 license. Its main topics are data-analysis, data-science, deep-learning, econometrics.

Frequently asked questions

What is hyperlearn?

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Is hyperlearn open source?

hyperlearn is an open-source project. It is released under the Apache-2.0 license.

Is hyperlearn free?

Yes. hyperlearn is free and open source — you can use, modify and self-host it.

What license does hyperlearn use?

hyperlearn is available under the Apache-2.0 license.

What language is hyperlearn written in?

hyperlearn is written mainly in Jupyter Notebook.

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