counterfactual-explanations

There are 9 repositories under counterfactual-explanations topic.

wangyongjie-ntu / Awesome-explainable-AI
A collection of research materials on explainable AI/ML
counterfactual-explanations explainable-ai explanation-system interpretability interpretable-ai recourse xai xml
1293
interpretml / DiCE
Generate Diverse Counterfactual Explanations for any machine learning model.
counterfactual-explanations deep-learning explainable-ai explainable-ml interpretable-machine-learning machine-learning xai
Language:Python 1285
guillermo-navas-palencia / optbinning
Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.
python binning woe optimization woebinning stream streaming-data batch-processing scorecard credit-scoring mdlp counterfactual-explanations
Language:Python 422
carla-recourse / CARLA
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
artificial-intelligence benchmark benchmarking counterfactual counterfactual-explanations counterfactuals explainability explainable-ai explainable-ml machine-learning python pytorch recourse tensorflow tensorflow2
Language:Python 267
JuliaTrustworthyAI / CounterfactualExplanations.jl
A package for Counterfactual Explanations and Algorithmic Recourse in Julia.
counterfactual-explanations deep-learning explainable-ai julia machine-learning
Language:Julia 107
fzi-forschungszentrum-informatik / TSInterpret
An Open-Source Library for the interpretability of time series classifiers
counterfactual-explanations explainable-ai explainable-artificial-intelligence explainable-ml feature-attribution interpretability interpretable-machine-learning interpretable-ml time-series
Language:Python 102
charmlab / mace
Model Agnostic Counterfactual Explanations
counterfactual-explanations explainable-ml explainable-ai xai machine-learning interpretable-machine-learning
Language:Python 84
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.
computer-vision causal-inference causality counterfactual-explanations counterfactual
Language:Python 77
mertyg / debug-mistakes-cce
Meaningfully debugging model mistakes with conceptual counterfactual explanations. ICML 2022
concepts counterfactual-explanations explanations interpretability
Language:Python 71
wangyongjie-ntu / CFAI
A collection of algorithms of counterfactual explanations.
interpretability counterfactual-explanations recourse explainable-machine-learning explainable-ai explainable-ml pytorch
Language:Python 46
andreArtelt / ceml
CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
machine-learning python counterfactual-explanations explainable-ai xai
Language:Python 37
guillaumejs2403 / ACE
This repository contains the official code for the CVPR 2023 paper ``Adversarial Counterfactual Visual Explanations''
counterfactual-explanations pytorch
Language:Python 36
cambridge-mlg / CLUE
Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
interpretability research uncertainty deep-learning neural-networks aleatoric-uncertainty epistemic-uncertainty machine-learning publication paper transparency counterfactual-explanations counterfactual generative-model latent-space
Language:Python 34
charmlab / recourse
Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831
counterfactual-explanations explainable-ml explainable-ai xai machine-learning causality algorithmic-recourse
Language:Python 32
divyat09 / cf-feasibility
Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"
machine-learning explainable-ml counterfactual-explanations causality neurips-2019
Language:Python 29
Networks-Learning / strategic-decisions
Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.
counterfactual-explanations decision-making incentives explainable-ai explainable-ml strategic-ml algorithmic-recourse
Language:Jupyter Notebook 25
guillaumejs2403 / DiME
Official Code for the ACCV 2022 paper Diffusion Models for Counterfactual Explanations
counterfactual-explanations pytorch
Language:Python 19
BirkhoffG / Explainable-ML-Papers
A list of research papers of explainable machine learning.
academic awesome counterfactual-explanations explainability explainable-ml explanations human-ai-interaction human-in-the-loop human-in-the-loop-machine-learning interpretability interpretable-ml interpretable-models machine-learning paper recourse research survey trustworthy-machine-learning xai
17
danilonumeroso / meg
Molecular Explanation Generator
explainable-ai deep-learning-for-graphs deep-graph-networks reinforcement-learning counterfactual-explanations interpretability
Language:Python 16
gam-coach
poloclub / gam-coach
Personal coach to help you obtain desired AI decisions!
counterfactual-explanations generalized-additive-models integer-programming interactive-visualizations machine-learning recourse visualization
Language:JavaScript 16
RuoyuChen10 / Sim2Word
Official implement of our work: Sim2Word: Explaining Similarity with Representative Attribute Words via Counterfactual Explanations, which is published in ACM TOMM 2022
counterfactual-explanations explainable-ai similarity-explanation
Language:Jupyter Notebook 16
prclibo / ice
Interpretable Control Exploration and Counterfactual Explanation (ICE) on StyleGAN
stylegan2 gan explainable-ai interpretable-ai interpretability explainability face-manipulation face-editing face-generation counterfactual-explanations pytorch explainable-ml interpretable-deep-learning explainable-artificial-intelligence explainable-machine-learning
Language:Jupyter Notebook 15
Networks-Learning / counterfactual-explanations-mdp
Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021
machine-learning counterfactual-explanations counterfactuals mdp markov-deci cognitive-therapy sequential-decision-making-problems explainable-ai explainable-ml
Language:Jupyter Notebook 14
epfl-ml4ed / evaluating-explainers
Comparing 5 different XAI techniques (LIME, PermSHAP, KernelSHAP, DiCE, CEM) through quantitative metrics. Published at EDM 2022.
deep-learning explainable-ai mooc counterfactual-explanations lime shap
Language:PureBasic 13
mertkosan / GCFExplainer
Global Counterfactual Explainer for Graph Neural Networks
counterfactual-explanations graph-neural-networks interpretable-machine-learning
Language:Python 13
jpmorganchase / cf-shap
Counterfactual SHAP: a framework for counterfactual feature importance
explainability explainable-ai explainable-artificial-intelligence explainable-ml explanations feature-attribution feature-importance machine-learning shap shapley shapley-values tree-based xgboost algorithmic-recourse counterfactual-explanations counterfactuals facct2022 explainable-machine-learning
Language:HTML 12
marcovirgolin / robust-counterfactuals
Repo of the paper "On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations"
counterfactual-explanations counterfactuals genetic-algorithm robustness perturbations fairness-ml interpretable-machine-learning explainable-machine-learning interpretable-ai explainable-ai
Language:Jupyter Notebook 11
da2so / Counterfactual-Explanation-Based-on-Gradual-Construction-for-Deep-Networks
Counterfactual Explanation Based on Gradual Construction for Deep Networks Pytorch
counterfactual-explanations explainable-ai interpretability xai
Language:Python 10
daikikatsuragawa / awesome-counterfactual-explanations
This repository is a curated collection of information (keywords, papers, libraries, books, etc.) about counterfactual explanations🙃
machine-learning awasome counterfactual-explanations explainable-ai interpretable-machine-learning xai explainable-ml
10
sbobek / lux
Local Universal Rule-based Explanations
counterfactual-explanations explainability explainable-artificial-intelligence interpretability local-explanations model-agnostic-explanations rule-based-explanations
Language:Python 9
rmazzine / CFNOW
Easiest way to generate counterfactual explanations
counterfactual counterfactual-explanations explainability explainable-ai
Language:Python 8
guillaumejs2403 / TIME
Text-to-Image Models for Counterfactual Explanations: a black-box approach Official Code. WACV 2024
counterfactual-explanations explainable-ai stable-diffusion
Language:Python 7
jpmorganchase / cf-shap-facct22
Counterfactual Shapley Additive Explanation: Experiments
facct2022 shapley explanations algorithmic-recourse counterfactual-explanations counterfactuals explainable-ai explainable-artificial-intelligence explainable-machine-learning explainable-ml feature-attention feature-importance machine-learning shap shapley-values tree-based xgboost
Language:Jupyter Notebook 7
unitn-sml / syn-interventions-algorithmic-recourse
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis.
algorithmic-recourse counterfactual-explanations explainable-ai mcts program-synthesis
Language:Python 7
JuliaTrustworthyAI / AlgorithmicRecourseDynamics.jl
A Julia package for modelling Algorithmic Recourse Dynamics.
algorithmic-recourse counterfactual-explanations explainable-ai
Language:TeX 6
tridungduong16 / MultiObjective-SCM-CounterfactualExplanation
Generating counterfactual samples for machine learning model with SCM and prototypes.
interpretable-machine-learning multiobjective-optimization counterfactual-explanations
Language:Python 6

counterfactual-explanations

wangyongjie-ntu / Awesome-explainable-AI

interpretml / DiCE

guillermo-navas-palencia / optbinning

carla-recourse / CARLA

JuliaTrustworthyAI / CounterfactualExplanations.jl

fzi-forschungszentrum-informatik / TSInterpret

charmlab / mace

MaheepChaudhary / Causation-inComputerVision

mertyg / debug-mistakes-cce

wangyongjie-ntu / CFAI

andreArtelt / ceml

guillaumejs2403 / ACE

cambridge-mlg / CLUE

charmlab / recourse

divyat09 / cf-feasibility

Networks-Learning / strategic-decisions

guillaumejs2403 / DiME

BirkhoffG / Explainable-ML-Papers

danilonumeroso / meg

poloclub / gam-coach

RuoyuChen10 / Sim2Word

prclibo / ice

Networks-Learning / counterfactual-explanations-mdp

epfl-ml4ed / evaluating-explainers

mertkosan / GCFExplainer

jpmorganchase / cf-shap

marcovirgolin / robust-counterfactuals

da2so / Counterfactual-Explanation-Based-on-Gradual-Construction-for-Deep-Networks

daikikatsuragawa / awesome-counterfactual-explanations

sbobek / lux

rmazzine / CFNOW

guillaumejs2403 / TIME

jpmorganchase / cf-shap-facct22

unitn-sml / syn-interventions-algorithmic-recourse

JuliaTrustworthyAI / AlgorithmicRecourseDynamics.jl

tridungduong16 / MultiObjective-SCM-CounterfactualExplanation