2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Access faster machine learning algorithms that use less memory and work on any computer, old or new.
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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.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
hyperlearn is an open-source project. It is released under the Apache-2.0 license.
Yes. hyperlearn is free and open source — you can use, modify and self-host it.
hyperlearn is available under the Apache-2.0 license.
hyperlearn is written mainly in Jupyter Notebook.
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Measured from GitHub topics shared by both projects, weighted by how rare each topic is.