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
| Rank | Repository | Language | Stars |
|---|---|---|---|
| 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
- C++ 7k stars, 71% · 1 repo
- Python 2.4k stars, 25% · 3 repos
- JavaScript 131 stars, 1% · 1 repo
- 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