Fit interpretable models. Explain blackbox machine learning.
A curated list of awesome responsible machine learning resources.
moDel Agnostic Language for Exploration and eXplanation
Generate Diverse Counterfactual Explanations for any machine learning mo...
PiML (Python Interpretable Machine Learning) toolbox for model developme...
[HELP REQUESTED] Generalized Additive Models in Python
Interesting resources related to XAI (Explainable Artificial Intelligence)
Examples of techniques for training interpretable ML models, explaining ...
H2O.ai Machine Learning Interpretability Resources
Explainable AI framework for data scientists. Explain & debug any blackb...
A Python package implementing a new interpretable machine learning model...
📍 Interactive Studio for Explanatory Model Analysis
💡 Adversarial attacks on explanations and how to defend them
🕵️♂️ Interpreting Convolutional Neural Network (CNN) Results.