counterfactual-explanations topic

Generate Diverse Counterfactual Explanations for any machine learning model.

interpretml

A collection of research materials on explainable AI/ML

wangyongjie-ntu

Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.

guillermo-navas-palencia

CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

carla-recourse

Model Agnostic Counterfactual Explanations

charmlab

A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

JuliaTrustworthyAI

Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"

divyat09

Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831

charmlab

CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox

andreArtelt

Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"

cambridge-mlg