A package for Counterfactual Explanations and Algorithmic Recourse in Julia.
-
Updated
May 16, 2024 - Julia
A package for Counterfactual Explanations and Algorithmic Recourse in Julia.
Local Universal Rule-based Explanations
A collection of research materials on explainable AI/ML
Pytorch implementation of 'Explaining text classifiers with counterfactual representations'
Multi-Criteria Approach for Selecting an Explanation From the Set of Counterfactuals Produced by an Ensemble of Explainers
Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
Survival-Patterns-based counterfactual explanations of survival models
This repository is dedicated to PhD Research (Human-centered XAI)
Generate Diverse Counterfactual Explanations for any machine learning model.
An Open-Source Library for the interpretability of time series classifiers
CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.
Code for "Robust counterfactual explanations for random forests"
Counterfactual explanations for the identification of the features with the highest relevance on the shape of response curves generated by neural network black boxes
Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.
SG-CF Shapelet-Guided Counterfactual Explanation for Time Series Data (2022 Big Data)
Motif-guided time series counterfactual explanations (ICPR 2022)
Code for Master's thesis in Applied Physics and Mathematics at NTNU.
Attention-based Counterfactual Explanation for Multivariate Time Series (DaWak 2023)
CELS: Counterfactual Explanation for Time Series Data via Learned Saliency Maps (2023 Big data)
Add a description, image, and links to the counterfactual-explanations topic page so that developers can more easily learn about it.
To associate your repository with the counterfactual-explanations topic, visit your repo's landing page and select "manage topics."