Factual package intelligence from PyPI

ml4a 0.1.3 package intelligence

A toolkit for making art with machine learning, including an API for popular deep learning models, recipes for combining them, and a suite of educational examples

pip install ml4a

Current version
0.1.3
Python requirement
Not declared
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.9 MiB
Release history
3 releases with files
Median release cadence
65 days

ml4a dependencies

PyPI declares 29 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. bs4
  2. dill
  3. imutils
  4. inflect
  5. face-recognition
  6. gdown
  7. ipython
  8. ipywidgets
  9. librosa
  10. lxml
  11. matplotlib
  12. moviepy
  13. ninja
  14. noise
  15. numba
  16. numpy
  17. omegaconf ==2.0.0
  18. opencv-python
  19. Pillow
  20. pytorch-lightning ==1.0.8
  21. psutil
  22. scikit-image
  23. scikit-learn
  24. tensorflow-gpu ==1.15.0
  25. torch

The compact report shows 25 of 29 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

ml4a publishes 1 wheel and 1 source archive for version 0.1.3. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .