SelfExplainML / PiML-Toolbox

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

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

Commits 435 (last one 9 days ago)

Stargazers 1,162 (209 this week)

Watchers 23 (0 this week)

Forks 121

License apache-2.0

Ranking

RepositoryStats indexes 579,238 repositories, of these SelfExplainML/PiML-Toolbox is ranked #46,178 (92nd percentile) for total stargazers, and #95,946 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #934/16,882.

SelfExplainML/PiML-Toolbox is also tagged with popular topics, for these it's ranked: low-code (#63/275)

Other Information

SelfExplainML/PiML-Toolbox has Github issues enabled, there are 15 open issues and 39 closed issues.

There have been 3 releases, the latest one was published on 2023-11-30 (11 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

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Yearly Commits

Commits to the default branch (main) per year

Issue History

Languages

The only known language in this repository is Jupyter Notebook

updated: 2024-11-07 @ 12:49am, id: 486898701 / R_kgDOHQV8DQ