NeoML
NeoML is an end-to-end machine learning framework that allows you to build, train, and deploy ML models. It provides many traditional ML algorithms and neural networks with support for over 100 layer types.
NeoML is designed to minimize your code's dependence on the platform and devices used for calculations. The low-level math functions are isolated in a separate math engine module that has different implementations for different platforms, and the high-level code only has to select an appropriate math engine implementation to work with.
Documentation
See our documentation that includes detailed API reference and tutorials demonstrating how to use the library at https://neoml.readthedocs.io
Install
pip3 install neoml
1 maintainer
Metadata
1 maintainer
Release files for neoml 2.0.210
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 122.1 MB
Release files / neoml-2.0.210-cp311-cp311-win_amd64.whl
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Release files / neoml-2.0.210-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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Release files / neoml-2.0.210-cp311-cp311-macosx_11_0_x86_64.whl
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Release files / neoml-2.0.210-cp310-cp310-win_amd64.whl
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Release files / neoml-2.0.210-cp39-cp39-win_amd64.whl
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