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Equivariant convolutional neural networks for the group E(3) of 3 dimensional rotations, translations, and mirrors.
pip install e3nn-jax
PyPI declares 16 unique dependency rules for this release. Environment markers are shown when supplied by the project.
e3nn-jax publishes 1 wheel and 1 source archive for version 0.21.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.9.
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PyPI lists 46 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .