Factual package intelligence from PyPI

vision-unlearning 1.0.0 package intelligence

Vision Unlearning: a tool for Machine Unlearning in Computer Vision

pip install vision-unlearning

Current version
1.0.0
Python requirement
<3.13,>=3.10
License
Apache-2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.9 MiB
Release history
11 releases with files
Median release cadence
33 days

vision-unlearning dependencies

PyPI declares 70 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. GitPython <3.1.19
  2. Jinja2
  3. Pillow
  4. PyYAML
  5. Unidecode <1.5.0,>=1.4.0
  6. accelerate >=0.31.0
  7. autodoc_pydantic
  8. black
  9. build
  10. compel ==0.1.8
  11. dadapy <0.4,>=0.3
  12. datasets >=2.19.1
  13. diffusers <0.31.0,>=0.30.0
  14. filelock
  15. flax >=0.4.1
  16. hf-doc-builder >=0.3.0
  17. huggingface-hub >=0.27.0
  18. image-similarity-measures
  19. importlib_metadata
  20. invisible-watermark >=0.2.0
  21. isort >=5.5.4
  22. jax >=0.4.1
  23. jaxlib >=0.4.1
  24. k-diffusion >=0.0.12
  25. librosa

The compact report shows 25 of 70 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

vision-unlearning publishes 1 wheel and 1 source archive for version 1.0.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Release activity and sources

PyPI lists 11 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 .