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Stars gained: From May 19, 2026 to Nov 14, 2026, each from zeroStars gainedFrom May 19, 2026 to Nov 14, 2026, each from zero0200May 19Nov 14, 2026interpretml/DiCEpyc-team/pytorch_concepts
Stars: The star count at the end of each dayStarsThe star count at the end of each day01KMay 8Nov 14, 2026interpretml/DiCEpyc-team/pytorch_concepts

Facts

Fact interpretml/DiCE

Generate Diverse Counterfactual Explanations for any machine learning model.

pyc-team/pytorch_concepts

PyC (Pytorch Concepts) is a PyTorch-based library for designing concept-based interpretable deep learning models.

Stars 1,533338
Net stars, last 30 days +5+183
Largest star day +2 on May 23, 2026+80 on Nov 4, 2026
Milestone reached in the record None100 on Aug 27, 2026
Forks 23534
Language PythonPython
License MITAPACHE-2.0
Created May 2, 2019Jun 22, 2024
Last push Jul 13, 2025Nov 4, 2026
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)4 of 4 checks
Health facts: Releases 0 of 3 checks (1 without data)1 of 3 checks
Health facts: Security practice 0 of 1 check (1 without data)1 of 1 check
Health facts: Community files 1 of 3 checks (2 without data)3 of 3 checks
Commits, last 13 weeks No data205
Weeks with commits, last 52 No data38 of 52
In the Repository Index since Nov 13, 2026Nov 7, 2026

Topics that all of them have on the Repository Host: xai, interpretable-machine-learning, machine-learning, explainable-ai. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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