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.
See our documentation that includes detailed API reference and tutorials demonstrating how to use the library at https://neoml.readthedocs.io
pip3 install neoml
FAQs
NeoML python bindings
We found that neoml demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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