interpretml

InterpretML Joined Apr 2017 View on GitHub

Stars
9,784
across 15 public repos
Rank
#3,940
of 94,827 organizations, top 5%

Repositories with 50+ stars

interpretml's repositories with their overall rank
RankRepositoryLanguageStars
8,831

Fit interpretable models. Explain blackbox machine learning.

C++ 6,980
44,634

Generate Diverse Counterfactual Explanations for any machine learning model.

Python 1,533
138,968

Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.

Python 445
142,643

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

Python 432
391,044

Editing machine learning models to reflect human knowledge and values

JavaScript 131
626,802

A Natural Language Interface to Explainable Boosting Machines

Jupyter Notebook 72

Among 94,827 organizations

6.3k–10k stars: 1,979 organizations, including interpretml

Stars along the bottom, and organizations in each band on a log scale

Where the stars are

Languages

  1. C++ 7k stars, 71% · 1 repo
  2. Python 2.4k stars, 25% · 3 repos
  3. JavaScript 131 stars, 1% · 1 repo
  4. Jupyter Notebook 72 stars, 1% · 1 repo

When they were made

6 repos with 50+ stars, made between 2019 and 2023

Quick stats

Next rank
+10 stars to reach #3,939
Next milestone
+25,210 stars to reach the top 1%
Public repos
15, 6 with 50+ stars
Popular repos
5 over 100 stars, 2 over 1k stars
Top repo
interpret, #8,831 of all repos, 71% of stars
Smaller repos
191 stars from repos under 50

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