https://github.com/enlite-ai/maze

Maze Applied Reinforcement Learning Framework
https://github.com/enlite-ai/maze

Keywords

applied-machine-learning automation data-science decision-making deep-learning distributed documentation framework machine-learning monitoring optimization python reinforcement-learning simulation

Last synced: about 1 year ago
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Repository metadata

Maze Applied Reinforcement Learning Framework


Owner metadata


GitHub Events

Total
Last Year

Committers metadata

Last synced: about 1 year ago

Total Commits: 1,044
Total Committers: 4
Avg Commits per committer: 261.0
Development Distribution Score (DDS): 0.01

Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
EnliteAI Bot o****e@e****i 1034
Marcel Wasserer m****r@e****i 8
matthias m****r@e****i 1
enliteai 7****i 1

Committer domains:


Issue and Pull Request metadata

Last synced: over 1 year ago

Total issues: 2
Total pull requests: 26
Average time to close issues: about 1 month
Average time to close pull requests: 7 days
Total issue authors: 2
Total pull request authors: 4
Average comments per issue: 2.0
Average comments per pull request: 0.0
Merged pull request: 24
Bot issues: 0
Bot pull requests: 0

Past year issues: 0
Past year pull requests: 1
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 1
Past year average comments per issue: 0
Past year average comments per pull request: 0.0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/enlite-ai/maze

Top Issue Authors

  • jakobkogler (1)
  • omry (1)

Top Pull Request Authors

  • enliteai (16)
  • md-enlite (8)
  • chenzizhao (1)
  • MMilbradt (1)

Top Issue Labels

  • bug (1)
  • documentation (1)

Top Pull Request Labels


Package metadata

proxy.golang.org: github.com/enlite-ai/maze

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/enlite-ai/maze#section-documentation
  • Licenses: other
  • Latest release: v0.2.0 (published over 2 years ago)
  • Last Synced: 2024-05-24T23:41:08.507Z (about 1 year ago)
  • Versions: 10
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 9.016%
    • Average: 9.591%
    • Dependent repos count: 10.166%
pypi.org: maze-rl

MazeRL is a development framework for building applied reinforcement learning systems, addressing real-world decision problems. It supports the complete development life cycle of RL applications, ranging from simulation engineering up to agent development, training and deployment.

  • Homepage: https://github.com/enlite-ai/maze
  • Documentation: https://maze-rl.readthedocs.io/
  • Licenses: MazeRL Software License (Research, Non-Commercial)
  • Latest release: 0.2.0 (published over 2 years ago)
  • Last Synced: 2024-05-24T22:01:31.042Z (about 1 year ago)
  • Versions: 21
  • Dependent Packages: 0
  • Dependent Repositories: 2
  • Downloads: 63 Last month
  • Rankings:
    • Stargazers count: 4.168%
    • Dependent packages count: 10.126%
    • Forks count: 10.51%
    • Dependent repos count: 11.519%
    • Average: 12.507%
    • Downloads: 26.213%
  • Maintainers (1)

Dependencies

docs/requirements.txt pypi
  • sphinx ==3.2.1
  • sphinx-tabs ==2.1.0
  • sphinx-theme ==1.0
  • sphinx_rtd_theme *
setup.py pypi
  • Maze *
  • gym *
  • hydra-core *
  • hydra-nevergrad-sweeper *
  • pillow *
  • pyyaml *
  • requests *
  • tensorboard *
.github/workflows/codeql-analysis.yml actions
  • actions/checkout v2 composite
  • github/codeql-action/analyze v1 composite
  • github/codeql-action/autobuild v1 composite
  • github/codeql-action/init v1 composite
.github/workflows/github-ci.yml actions
  • actions/cache v2 composite
  • docker/build-push-action v2 composite
  • docker/login-action v1 composite
  • docker/setup-buildx-action v1 composite
  • registry 2 docker

Score: 11.136630734161843