# interpretml/interpret

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6,880 stars · 784 forks · C++ · MIT

## Links

- GitHub: https://github.com/interpretml/interpret
- Homepage: https://interpret.ml/docs
- awesome-repositories: https://awesome-repositories.com/repository/interpretml-interpret.md

## Description

Fit interpretable models. Explain blackbox machine learning.

## Tags

### Part of an Awesome List

- [Explainability and Fairness](https://awesome-repositories.com/f/awesome-lists/ai/explainability-and-fairness.md) — Package for training interpretable models and explaining systems.
- [Explainable AI Libraries](https://awesome-repositories.com/f/awesome-lists/ai/explainable-ai-libraries.md) — Toolkit for training interpretable models and explaining black-box systems.
- [General Machine Learning](https://awesome-repositories.com/f/awesome-lists/ai/general-machine-learning.md) — Library for explainable machine learning models.
- [Machine Learning](https://awesome-repositories.com/f/awesome-lists/ai/machine-learning.md) — Interpretable models and blackbox explanation.
- [Model Interpretability](https://awesome-repositories.com/f/awesome-lists/ai/model-interpretability.md) — Toolkit for building interpretable and responsible machine learning models.
- [Model Interpretation](https://awesome-repositories.com/f/awesome-lists/ai/model-interpretation.md) — Tools for training and explaining interpretable machine learning models.