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GitHub / 0xangelo / raylab
Reinforcement learning algorithms in RLlib
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/0xangelo%2Fraylab
Stars: 54
Forks: 10
Open Issues: 13
License: mit
Language: Python
Repo Size: 4.52 MB
Dependencies:
231
Created: over 4 years ago
Updated: 6 days ago
Last pushed: 6 days ago
Last synced: 6 days ago
Commit Stats
Commits: 2247
Authors: 8
Mean commits per author: 280.88
Development Distribution Score: 0.137
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/0xangelo/raylab
Topics: bokeh, deep-learning, generative-models, machine-learning, model-based-rl, normalizing-flows, pytorch, reinforcement-learning, rllib, streamlit
Files
Dependencies
- auto-changelog ^0.5.3 develop
- black ^21.12b0 develop
- coverage ^6.3 develop
- flake8 ^3.9.2 develop
- gym-cartpole-swingup ^0.1.3 develop
- ipython ^7.31.1 develop
- isort ^5.9.3 develop
- mypy ^0.910 develop
- pre-commit ^2.17.0 develop
- pylint ^2.12.2 develop
- pytest ^6.2.5 develop
- pytest-deadfixtures ^2.2.1 develop
- pytest-mock ^3.6.1 develop
- pytest-sugar ^0.9.4 develop
- sphinx ^4.4.0 develop
- tox ^3.24.5 develop
- watchdog ^2.1.5 develop
- bokeh <2.3.4
- cachetools ^4.1.0
- click ^7.1.2
- dataclasses-json ^0.5.1
- dm-tree ^0.1.5
- nnrl ^0.1.0
- opencv-contrib-python ^4.4.0
- opencv-python ^4.2.0
- poetry-version ^0.1.5
- python ^3.7
- pytorch-lightning >=1.3.8,<1.6.0
- ray <1.7
- sklearn ^0.0
- streamlit >=0.62,<0.86
- tabulate ^0.8.7
- torch ^1.5.1
- Gr1N/setup-poetry v4 composite
- actions/cache v2 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite