Factual package intelligence from PyPI

supreme-unlearning 0.1.3 package intelligence

A registry-based, multi-GPU framework for reproducible image-unlearning evaluation.

pip install supreme-unlearning

Current version
0.1.3
Python requirement
>=3.9
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
346.4 KiB
Release history
4 releases with files
Median release cadence
0 days

supreme-unlearning dependencies

PyPI declares 26 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch ==2.1.0
  2. torchvision ==0.16.0
  3. torchaudio ==2.1.0
  4. lightning ==2.1.0
  5. pytorch-lightning ==2.1.0
  6. transformers ==4.35.0
  7. numpy <2.0
  8. scipy ==1.13.1
  9. scikit-learn ==1.6.1
  10. matplotlib ==3.9.4
  11. seaborn ==0.13.2
  12. wandb ==0.25.1
  13. python-dotenv ==1.1.0
  14. psutil
  15. requests ==2.28.2
  16. urllib3 <2.0.0
  17. chardet ==4.0.0
  18. charset-normalizer ==3.0.1

The compact report shows 18 of 26 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

supreme-unlearning publishes 1 wheel and 1 source archive for version 0.1.3. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .