counterfactual-explanations
There are 76 repositories under counterfactual-explanations topic.
wangyongjie-ntu/Awesome-explainable-AI
A collection of research materials on explainable AI/ML
interpretml/DiCE
Generate Diverse Counterfactual Explanations for any machine learning model.
guillermo-navas-palencia/optbinning
Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.
carla-recourse/CARLA
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
JuliaTrustworthyAI/CounterfactualExplanations.jl
A package for Counterfactual Explanations and Algorithmic Recourse in Julia.
fzi-forschungszentrum-informatik/TSInterpret
An Open-Source Library for the interpretability of time series classifiers
charmlab/mace
Model Agnostic Counterfactual Explanations
MaheepChaudhary/Causation-inComputerVision
The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era computer vision solutions.
mertyg/debug-mistakes-cce
Meaningfully debugging model mistakes with conceptual counterfactual explanations. ICML 2022
wangyongjie-ntu/CFAI
A collection of algorithms of counterfactual explanations.
andreArtelt/ceml
CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
guillaumejs2403/ACE
This repository contains the official code for the CVPR 2023 paper ``Adversarial Counterfactual Visual Explanations''
cambridge-mlg/CLUE
Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
charmlab/recourse
Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831
divyat09/cf-feasibility
Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"
Networks-Learning/strategic-decisions
Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.
guillaumejs2403/DiME
Official Code for the ACCV 2022 paper Diffusion Models for Counterfactual Explanations
BirkhoffG/Explainable-ML-Papers
A list of research papers of explainable machine learning.
danilonumeroso/meg
Molecular Explanation Generator
poloclub/gam-coach
Personal coach to help you obtain desired AI decisions!
RuoyuChen10/Sim2Word
Official implement of our work: Sim2Word: Explaining Similarity with Representative Attribute Words via Counterfactual Explanations, which is published in ACM TOMM 2022
prclibo/ice
Interpretable Control Exploration and Counterfactual Explanation (ICE) on StyleGAN
jpmorganchase/cf-shap
Counterfactual SHAP: a framework for counterfactual feature importance
Networks-Learning/counterfactual-explanations-mdp
Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021
epfl-ml4ed/evaluating-explainers
Comparing 5 different XAI techniques (LIME, PermSHAP, KernelSHAP, DiCE, CEM) through quantitative metrics. Published at EDM 2022.
mertkosan/GCFExplainer
Global Counterfactual Explainer for Graph Neural Networks
marcovirgolin/robust-counterfactuals
Repo of the paper "On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations"
da2so/Counterfactual-Explanation-Based-on-Gradual-Construction-for-Deep-Networks
Counterfactual Explanation Based on Gradual Construction for Deep Networks Pytorch
daikikatsuragawa/awesome-counterfactual-explanations
This repository is a curated collection of information (keywords, papers, libraries, books, etc.) about counterfactual explanations🙃
sbobek/lux
Local Universal Rule-based Explanations
jpmorganchase/cf-shap-facct22
Counterfactual Shapley Additive Explanation: Experiments
rmazzine/CFNOW
Easiest way to generate counterfactual explanations
guillaumejs2403/TIME
Text-to-Image Models for Counterfactual Explanations: a black-box approach Official Code. WACV 2024
unitn-sml/syn-interventions-algorithmic-recourse
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis.
JuliaTrustworthyAI/AlgorithmicRecourseDynamics.jl
A Julia package for modelling Algorithmic Recourse Dynamics.
tridungduong16/MultiObjective-SCM-CounterfactualExplanation
Generating counterfactual samples for machine learning model with SCM and prototypes.