interpretml/interpret-community

Interpretability and explainability of data and machine learning models

A game theoretic approach to explain the output of any machine learning model.

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Fit interpretable models. Explain blackbox machine learning.

Deep Insight And Neural Network Analysis

Lime: Explaining the predictions of any machine learning classifier

Human-explainable AI.

Calibrated Explanations is an explanation method for uncertainty-aware explanations of classification and regression models.

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).