Factual package intelligence from PyPI

medvae 0.1.7 package intelligence

MedVAE is a family of six medical image autoencoders that can encode high-dimensional medical images into latent representations.

pip install medvae

Current version
0.1.7
Python requirement
>=3.9
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
83.1 KiB
Release history
17 releases with files
Median release cadence
0 days

medvae dependencies

PyPI declares 36 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch >=2.4.1
  2. accelerate >=0.34.2
  3. wandb ==0.14.0 when python_version < "3.12"
  4. wandb >=0.16.0 when python_version >= "3.12"
  5. tqdm
  6. dicom2nifti
  7. scipy
  8. batchgenerators >=0.25
  9. numpy >=1.24
  10. scikit-learn
  11. scikit-image >=0.19.3
  12. SimpleITK >=2.4.0
  13. omegaconf >=2.3.0
  14. pandas
  15. requests
  16. nibabel
  17. matplotlib
  18. seaborn
  19. imagecodecs
  20. yacs
  21. batchgeneratorsv2 >=0.2
  22. einops >=0.8.0
  23. monai >=1.3.2
  24. torchvision >=0.19.1
  25. gdown

The compact report shows 25 of 36 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

medvae publishes 1 wheel and 1 source archive for version 0.1.7. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 17 releases with files. The first dated release is ; 17 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .