JuliaTrustworthyAI/AlgorithmicRecourseDynamics.jl

A Julia package for modelling Algorithmic Recourse Dynamics.

Language: TeX - Size: 214 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 6 - Forks: 0

vipminty/dice

DiceDB is an open-source, fast, reactive, in-memory database optimized for modern hardware.

Language: Go - Size: 17.8 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

fzi-forschungszentrum-informatik/TSInterpret

An Open-Source Library for the interpretability of time series classifiers

Language: Python - Size: 200 MB - Last synced at: 5 days ago - Pushed at: 6 months ago - Stars: 134 - Forks: 14

interpretml/DiCE

Generate Diverse Counterfactual Explanations for any machine learning model.

Language: Python - Size: 15.2 MB - Last synced at: 9 days ago - Pushed at: 6 months ago - Stars: 1,402 - Forks: 201

RuoyuChen10/CCL-FSOD

[TPAMI 2025] Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detection

Language: Python - Size: 1.67 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 20 - Forks: 1

wangyongjie-ntu/Awesome-explainable-AI

A collection of research materials on explainable AI/ML

Language: Markdown - Size: 1.93 MB - Last synced at: 22 days ago - Pushed at: 2 months ago - Stars: 1,494 - Forks: 203

pat-alt/endogenous-macrodynamics-in-algorithmic-recourse

Repository for "Endogenous Macrodynamics in Algorithmic Recourse" (Altmeyer et al., 2023)

Language: HTML - Size: 112 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

guillermo-navas-palencia/optbinning

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

Language: Python - Size: 10.4 MB - Last synced at: 23 days ago - Pushed at: 3 months ago - Stars: 471 - Forks: 105

BirkhoffG/Explainable-ML-Papers

A list of research papers of explainable machine learning.

Size: 13.7 KB - Last synced at: 22 days ago - Pushed at: almost 4 years ago - Stars: 36 - Forks: 3

Epanemu/LiCE

Likely Counterfactual Explanations - a MIO-based method for CE generation, using Sum-Product Networks to ensure plausibility

Language: Jupyter Notebook - Size: 23.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Networks-Learning/strategic-decisions

Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.

Language: Jupyter Notebook - Size: 5.94 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 29 - Forks: 5

arindal1/xai-counterfactuals-on-blackbox

Training Black-Box on MNIST to extract explanations on model decisions through XAI techniques and using Counterfactual algorithms to flips it's wrong predictions.

Language: Jupyter Notebook - Size: 10.6 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

andreArtelt/ceml

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

Language: Python - Size: 265 KB - Last synced at: 9 days ago - Pushed at: about 1 month ago - Stars: 44 - Forks: 11

carla-recourse/CARLA

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

Language: Python - Size: 1.89 MB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 288 - Forks: 64

aiim-research/GRETEL

GRETEL is a framework for the development and evaluation of Counterfactual Explanation methods for Graph Classifiers

Language: Jupyter Notebook - Size: 105 MB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 16 - Forks: 21

daikikatsuragawa/awesome-counterfactual-explanations

This repository is a curated collection of information (keywords, papers, libraries, books, etc.) about counterfactual explanations🙃 Contributions are welcome! Our maintenance capacity is limited, so we highly appreciate pull requests.

Size: 12.7 KB - Last synced at: 24 days ago - Pushed at: over 2 years ago - Stars: 18 - Forks: 0

rmazzine/CFNOW

Easiest way to generate counterfactual explanations

Language: Python - Size: 4.49 MB - Last synced at: 16 days ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 0

Wazhee/CXR-encoder

We use a cheXplain autoencoder architecture to encoder real chest x-ray images for counterfactual image generation

Language: Python - Size: 16.4 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Luckilyeee/CELS

CELS: Counterfactual Explanation for Time Series Data via Learned Saliency Maps (2023 Big data)

Language: Python - Size: 5.75 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 3 - Forks: 0

lennox55555/Legal-BERT-RLHF

This web app is part of a research project to identify and address biases in the LegalBERT model for classifying legislative bills. Using explainability techniques, we aim to make model predictions transparent, revealing inherent biases and refining the model to be more human-aligned and fair for diverse communities.

Language: Jupyter Notebook - Size: 6.89 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Mike1012W/Local-SC-FC-coupling-pattern

For local SC-FC subgraph extraction and counterfactual explanation.

Language: Python - Size: 51.8 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

UAIBC-Brain/Local-SC-FC-coupling-pattern

For local SC-FC subgraph extraction and counterfactual explanation.

Language: Python - Size: 54.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 2

guillaumejs2403/ACE

This repository contains the official code for the CVPR 2023 paper ``Adversarial Counterfactual Visual Explanations''

Language: Python - Size: 95.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 39 - Forks: 3

mertkosan/GCFExplainer

Global Counterfactual Explainer for Graph Neural Networks

Language: Python - Size: 16.3 MB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 18 - Forks: 4

JuliaTrustworthyAI/CounterfactualExplanations.jl

A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

Language: Julia - Size: 207 MB - Last synced at: 5 days ago - Pushed at: 3 months ago - Stars: 121 - Forks: 6

BirkhoffG/ReLax 📦

Recourse Explanation Library in JAX

Language: Jupyter Notebook - Size: 15.7 MB - Last synced at: 10 days ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

unitn-sml/temporal-algorithmic-recourse

Original codebase for the paper "Time Can Invalidate Algorithmic Recourse"

Language: Python - Size: 9.63 MB - Last synced at: 1 day ago - Pushed at: 8 months ago - Stars: 2 - Forks: 1

paggoo/javelin-perf

XAI-supported motion improvement hints with the aim of increasing javelin-throw distance @HCAI Augsburg University

Language: Python - Size: 49.4 MB - Last synced at: 4 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Jimlibo/GNN-Counterfactual-Editor

A repository containing code implementation of a GNN-based Counterfactual Editor

Language: Python - Size: 558 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 2

ToineSayan/counterfactual-representations-for-explanation

Pytorch implementation of 'Explaining text classifiers with counterfactual representations' (Lemberger & Saillenfest, 2024), ECAI 2024 - 27th European conference on AI

Language: Python - Size: 15.3 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

ukuhl/IntroAlienZoo

Introducing the Alien Zoo approach: An experimental framework for evaluating counterfactual explanations for ML

Language: JavaScript - Size: 119 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 3

sbobek/lux

Local Universal Rule-based Explanations

Language: Python - Size: 241 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 13 - Forks: 5

Luckilyeee/M-CELS

M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps (2024 ICMLA)

Language: TypeScript - Size: 14.5 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 1

charmlab/recourse_benchmarks

A package for Displaying and Computing Benchmarking Results of Algorithmic Recourse and Counterfactual Explanation Algorithms

Language: Python - Size: 8.76 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 3 - Forks: 3

istepka/betarce

Counterfactual Explanations with Probabilistic Guarantees on their Robustness to Model Change -- to appear at KDD'25

Language: Jupyter Notebook - Size: 86.1 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

poloclub/gam-coach

Personal coach to help you obtain desired AI decisions!

Language: JavaScript - Size: 38.1 MB - Last synced at: 20 days ago - Pushed at: over 1 year ago - Stars: 17 - Forks: 3

guillaumejs2403/DiME

Official Code for the ACCV 2022 paper Diffusion Models for Counterfactual Explanations

Language: Python - Size: 72.3 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 23 - Forks: 3

Luckilyeee/shapeDBA-CFE

Reliable Time Series Counterfactual Explanations Guided by ShapeDBA (2024 Big data)

Language: Python - Size: 4.65 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Networks-Learning/cfact-inference-second-opinions

Code for "Counterfactual Inference of Second Opinions", UAI 2022

Language: Python - Size: 162 KB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 1

wangyongjie-ntu/CFAI

A collection of algorithms of counterfactual explanations.

Language: Python - Size: 8.97 MB - Last synced at: 10 days ago - Pushed at: about 4 years ago - Stars: 50 - Forks: 9

darshandodamani/KontrafaktischeErkl-rungzurAD-Masterarbeit

Repository for the Master's thesis on Enhancing Autonomous Driving Explainability: A Counterfactual Explanation Approach Using Deep Generative Models

Language: Python - Size: 1.45 GB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

charmlab/mace

Model Agnostic Counterfactual Explanations

Language: Python - Size: 3 MB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 87 - Forks: 12

Luckilyeee/AB-CF

Attention-based Counterfactual Explanation for Multivariate Time Series (DaWak 2023)

Language: Jupyter Notebook - Size: 754 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

Luckilyeee/SG-CF

SG-CF Shapelet-Guided Counterfactual Explanation for Time Series Data (2022 Big Data)

Language: Jupyter Notebook - Size: 36.8 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

epfl-ml4ed/evaluating-explainers

Comparing 5 different XAI techniques (LIME, PermSHAP, KernelSHAP, DiCE, CEM) through quantitative metrics. Published at EDM 2022.

Language: PureBasic - Size: 6.15 MB - Last synced at: 7 months ago - Pushed at: almost 3 years ago - Stars: 15 - Forks: 2

mertyg/debug-mistakes-cce

Meaningfully debugging model mistakes with conceptual counterfactual explanations. ICML 2022

Language: Python - Size: 43.9 MB - Last synced at: 14 days ago - Pushed at: almost 3 years ago - Stars: 75 - Forks: 7

BirkhoffG/counternet

This is the official repository of the paper "CounterNet: End-to-End Training of Counterfactual Aware Predictions".

Language: Jupyter Notebook - Size: 5.12 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1

icon-lab/DreaMR

Diffusion-driven Counterfactual Explanation for Functional MRI (https://arxiv.org/abs/2307.09547)

Language: Python - Size: 6.52 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0

Networks-Learning/counterfactual-explanations-mdp

Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021

Language: Jupyter Notebook - Size: 120 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 16 - Forks: 3

divyat09/cf-feasibility

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

Language: Python - Size: 38.3 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 30 - Forks: 10

abdoush/SurvCounterfactual

Survival-Patterns-based counterfactual explanations of survival models

Language: Jupyter Notebook - Size: 1.71 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

wiherreira/XAI-CounterfactualExplanations

Counterfactual Explanations, a project for CITS4404 - Artificial Intelligence and Adaptive Systems.

Language: Jupyter Notebook - Size: 2.07 MB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

charmlab/recourse

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

Language: Python - Size: 1.14 MB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 34 - Forks: 5

cambridge-mlg/CLUE

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

Language: Python - Size: 617 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 34 - Forks: 4

istepka/MCSECE

Multi-Criteria Approach for Selecting an Explanation From the Set of Counterfactuals Produced by an Ensemble of Explainers

Language: Python - Size: 92 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

msnizami/PhD-Human-centered-XAI

This repository is dedicated to PhD Research (Human-centered XAI)

Size: 25.4 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

NISL-MSU/ResponsivityAnalysis

Counterfactual explanations for the identification of the features with the highest relevance on the shape of response curves generated by neural network black boxes

Language: Python - Size: 112 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 1

alexaoh/tabular-diffusion-for-counterfactuals

Code for Master's thesis in Applied Physics and Mathematics at NTNU.

Language: Jupyter Notebook - Size: 330 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Luckilyeee/motif_guided_cf

Motif-guided time series counterfactual explanations (ICPR 2022)

Language: Jupyter Notebook - Size: 674 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

jacons/Interpretable-by-design-Human-Recommender

Language: Jupyter Notebook - Size: 316 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

BirkhoffG/RoCourseNet

This is the official repository of the paper "RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse Model".

Language: Jupyter Notebook - Size: 83.6 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

ParitoshParmar/Win-Fail-Action-Recognition

https://arxiv.org/abs/2102.07355 [WACV Workshops 2022]

Size: 192 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1

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.

Language: Python - Size: 414 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 55 - Forks: 6

kyosek/CFXplorer

CFXplorer generates optimal distance counterfactual explanations for a given machine learning model.

Language: Python - Size: 982 KB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 1

alexforel/RobustCF4RF

Code for "Robust counterfactual explanations for random forests"

Language: Python - Size: 6.43 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

unitn-sml/syn-interventions-algorithmic-recourse

Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis.

Language: Python - Size: 3.32 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 1

Aadithya180600/ResumeParser

Parsing a resume, predicting whether it will get screened for a given job description or not and generating counterfactual suggestions.

Language: Python - Size: 29.3 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

RuoyuChen10/Sim2Word

Official implement of our work: Sim2Word: Explaining Similarity with Representative Attribute Words via Counterfactual Explanations, which is published in ACM TOMM 2022

Language: Jupyter Notebook - Size: 29.1 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 11 - Forks: 0

jpmorganchase/cf-shap-facct22

Counterfactual Shapley Additive Explanation: Experiments

Language: Jupyter Notebook - Size: 1.33 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 3

AmanPriyanshu/SCFactual-Explanations-CV

Creating a pipeline for generating semi-factual and counter-factual explanations for computer vision tasks.

Language: Python - Size: 30 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

marcovirgolin/robust-counterfactuals

Repo of the paper "On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations"

Language: Jupyter Notebook - Size: 221 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 2

mohamadmansourX/CEnt

CEnt: An Entropy-based Model-agnostic Explainability Framework to Contrast Classifiers’ Decisions; preview paper at: https://arxiv.org/abs/2301.07941

Language: Python - Size: 11.1 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Ehyaei/Fair-Robust-Algorithmic-Resource

This project Implements the paper “Robustness implies Fairness in Casual Algorithmic Recourse” using the R language.

Language: R - Size: 90.5 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

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

Counterfactual Explanation Based on Gradual Construction for Deep Networks Pytorch

Language: Python - Size: 32.3 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 10 - Forks: 1

prclibo/ice

Interpretable Control Exploration and Counterfactual Explanation (ICE) on StyleGAN

Language: Jupyter Notebook - Size: 8.43 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 12 - Forks: 6

danilonumeroso/meg

Molecular Explanation Generator

Language: Python - Size: 1.41 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 15 - Forks: 2

ksoh97/BIN

Tensorflow implementation of "Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision"

Language: Python - Size: 8.13 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0

wmonteiro-ai/xmoai

xMOAI 🗿

Language: Python - Size: 67.4 KB - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

alexaoh/project

[Autumn 2022] Specialization project leading up to main thesis in MSc Applied Physics and Mathematics at NTNU.

Language: R - Size: 259 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

jpmorganchase/cf-shap

Counterfactual SHAP: a framework for counterfactual feature importance

Language: HTML - Size: 713 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 2

peymanrasouli/CARE

CARE: Coherent Actionable Recourse based on Sound Counterfactual Explanations

Language: Jupyter Notebook - Size: 16.9 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

marcovirgolin/CoGS

A baseline genetic algorithm for the discovery of counterfactuals, implemented in Python for ease of use and heavily leveraging NumPy for speed.

Language: Python - Size: 402 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

olivesgatech/Explanatory-Paradigms

Code used in the paper `Explanatory Paradigms in Neural Networks', published in the Signal Processing Magazine

Language: Python - Size: 3.66 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

tridungduong16/multiobj-scm-cf

Generating counterfactual samples for machine learning model with SCM and prototypes.

Language: Python - Size: 131 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0

swarna-kpaul/genfact

Counterfactual causal analysis

Language: Python - Size: 160 KB - Last synced at: 10 days ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 2

AIML-research/CSCG-Counterfactuals Fork of ppnaumann/CSCF

Consequence-aware Sequential Counterfactual Generation (@ECMLPKDD2021); Repository maintained by Philip Naumann.

Size: 16.3 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

peymanrasouli/RobustML

Analyzing and Improving the Robustness of Tabular Classifiers using Counterfactual Explanations

Language: Python - Size: 16 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

Silviatulli/dyadic-minigrid

multiplayer game and chat for collecting data on human counterfactual explanations in a collaborative learning task

Language: JavaScript - Size: 2.45 MB - Last synced at: 29 days ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

lange-martin/xai-privacy

Experiments of the bachlor's thesis "Quantitive Evaluation of the Expected Antagonism of Explainability and Privacy". Two explainers are tested against privacy attacks.

Language: Jupyter Notebook - Size: 726 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

aivodji/mrce

Model Reconstruction from Counterfactual Explanations

Language: Python - Size: 0 Bytes - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0