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Guaranteed fairness constraints for PyTorch neural networks via differentiable optimization layers.
pip install fairness-training
PyPI declares 34 unique dependency rules for this release. Environment markers are shown when supplied by the project.
This release declares no required runtime dependencies in its PyPI metadata.
The compact report shows 25 of 34 declarations. The interactive dependency graph loads the complete metadata.
fairness-training publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.9.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .