Factual package intelligence from PyPI

ilpyt 0.1.0 package intelligence

The imitation learning toolbox (ilpyt) is an open-source Python code library developed at MITRE. The toolbox contains modular, optimized implementations of common deep imitation learning algorithms in PyTorch, with unified infrastructure supporting key imitation learning and rein

pip install ilpyt

Current version
0.1.0
Python requirement
>=3.8,<4.0
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
100.3 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

ilpyt dependencies

PyPI declares 84 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pyglet ==1.5.0
  2. pytest ==6.2.2
  3. numpy ==1.19.5
  4. torch ==1.8.1
  5. tensorboard ==2.4.1
  6. imageio ==2.9.0
  7. coloredlogs ==15.0
  8. absl-py ==0.11.0
  9. aiohttp ==3.7.4.post0
  10. async-timeout ==3.0.1
  11. attrs ==19.3.0
  12. blinker ==1.4
  13. cachetools ==4.2.1
  14. certifi ==2019.11.28
  15. chardet ==3.0.4
  16. click ==7.1.2
  17. cloudpickle ==1.6.0
  18. colorama ==0.4.4
  19. cryptography ==2.8
  20. decorator ==4.4.2
  21. flake8 ==3.7.9
  22. future ==0.18.2
  23. google-auth ==1.27.0
  24. google-auth-oauthlib ==0.4.2
  25. grpcio ==1.32.0

The compact report shows 25 of 84 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

ilpyt publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.

Declared Python classifiers: 3.8, 3.9.

Metadata completeness

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

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .