Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Fit interpretable models. Explain blackbox machine learning.

A curated list of awesome responsible machine learning resources.

Algorithms for explaining machine learning models

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

Interpretability and explainability of data and machine learning models

moDel Agnostic Language for Exploration and eXplanation

A collection of research materials on explainable AI/ML

Generate Diverse Counterfactual Explanations for any machine learning model.

XAI - An eXplainability toolbox for machine learning

Interesting resources related to XAI (Explainable Artificial Intelligence)

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

👋 Xplique is a Neural Networks Explainability Toolbox

Papers about explainability of GNNs

Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

H2O.ai Machine Learning Interpretability Resources

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu

A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI )

📍 Interactive Studio for Explanatory Model Analysis