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A differentiable orthogonal projection layer for training hard-constrained neural networks.
pip install pinet-hcnn
PyPI declares 26 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.6.2>=4.67.1>=3.13.0>=0.18.10>=2.37.0>=3.10.1>=0.2.4>=0.10.2>=1.6.6>=2.6.0>=0.1.9>=0.8.5>=0.20.1>=0.3.7>=0.13.7>=0.22.9The compact report shows 25 of 26 declarations. The interactive dependency graph loads the complete metadata.
pinet-hcnn publishes 1 wheel and 1 source archive for version 0.2.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .