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AutoNeuroNet is a fully implemented automatic differentiation engine with custom matrices, a full neural network architecture, and a training pipeline. It comes with Python bindings via PyBind11, enabling quick, easy network development in Python, backed by C++ for enhanced speed
pip install autoneuronet
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This release declares no required runtime dependencies in its PyPI metadata.
autoneuronet publishes 20 wheels and 0 source archives for version 0.1.11. Wheel platform tags: macosx_10_13_x86_64, macosx_10_9_x86_64, macosx_11_0_arm64, manylinux_2_17_x86_64.manylinux2014_x86_64, win_amd64.
No version-specific Python classifiers are declared.
PyPI lists 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .