Factual package intelligence from PyPI

mml-core 1.0.4 package intelligence

This is the MML toolkit, targeting lifelong/continual/meta learning in Surgical Data Science.

pip install mml-core

Current version
1.0.4
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
963.3 KiB
Release history
5 releases with files
Median release cadence
24 days

mml-core dependencies

PyPI declares 49 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch
  2. torchvision
  3. torchmetrics
  4. segmentation-models-pytorch ==0.3.3
  5. plotly
  6. statsmodels ==0.13.5
  7. matplotlib
  8. lightning
  9. tensorboard
  10. albumentations ==2.0.5
  11. pandas
  12. hydra-core ==1.3.2
  13. hydra-colorlog
  14. hydra-optuna-sweeper >=1.2
  15. python-dotenv
  16. rarfile
  17. colorama
  18. p-tqdm ==1.4.0
  19. orjson ==3.9.2
  20. ijson
  21. scikit-learn
  22. scikit-image
  23. kaggle ==1.5.15
  24. setuptools
  25. Deprecated

The compact report shows 25 of 49 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

mml-core publishes 1 wheel and 1 source archive for version 1.0.4. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.8, 3.9.

Release activity and sources

PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .