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A collection of research materials on explainable AI/ML
Created
2020-02-16
438 commits to master branch, last one about a month ago
Generate Diverse Counterfactual Explanations for any machine learning model.
Created
2019-05-02
783 commits to main branch, last one 29 days ago
Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.
Created
2019-12-31
917 commits to master branch, last one about a month ago
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
Created
2020-12-09
121 commits to main branch, last one about a year ago
An Open-Source Library for the interpretability of time series classifiers
Created
2022-08-15
486 commits to main branch, last one 26 days ago
A package for Counterfactual Explanations and Algorithmic Recourse in Julia.
Created
2021-12-22
2,054 commits to main branch, last one 2 days ago
The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era computer vision solutions.
Created
2022-01-02
265 commits to main branch, last one about a year ago
Model Agnostic Counterfactual Explanations
Created
2019-06-20
111 commits to master branch, last one 3 years ago
Meaningfully debugging model mistakes with conceptual counterfactual explanations. ICML 2022
Created
2022-05-30
5 commits to main branch, last one 2 years ago
A collection of algorithms of counterfactual explanations.
Created
2020-10-05
99 commits to main branch, last one 3 years ago
This repository contains the official code for the CVPR 2023 paper ``Adversarial Counterfactual Visual Explanations''
Created
2023-02-28
7 commits to main branch, last one about a year ago
Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
Created
2021-03-16
6 commits to master branch, last one about a year ago