SelfExplainML / PiML-Toolbox

PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

Date Created 2022-04-29 (2 years ago)

Commits 422 (last one 6 days ago)

Stargazers 907 (1 this week)

Watchers 23 (0 this week)

Forks 111

License apache-2.0

Ranking

RepositoryStats indexes 535,551 repositories, of these SelfExplainML/PiML-Toolbox is ranked #52,933 (90th percentile) for total stargazers, and #94,230 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #1,073/14,956.

SelfExplainML/PiML-Toolbox is also tagged with popular topics, for these it's ranked: low-code (#61/253)

Other Information

SelfExplainML/PiML-Toolbox has Github issues enabled, there are 14 open issues and 39 closed issues.

There have been 3 releases, the latest one was published on 2023-11-30 (7 months ago) with the name V0.6.0.

Homepage URL: https://selfexplainml.github.io/PiML-Toolbox

All Topics

low-code ml-workflow model-diagnostics interpretable-machine-learning

Star History

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Watcher History

Github watchers over time, collection started in '23

Recent Commit History

422 commits on the default branch (main) since jan '22

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Issue History

Languages

The only known language in this repository is Jupyter Notebook

updated: 2024-07-03 @ 06:56am, id: 486898701 / R_kgDOHQV8DQ