12 results found Sort:

A collection of research materials on explainable AI/ML
Created 2020-02-16
433 commits to master branch, last one about a month ago
183
1.3k
mit
18
Generate Diverse Counterfactual Explanations for any machine learning model.
Created 2019-05-02
779 commits to main branch, last one 2 months ago
Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.
Created 2019-12-31
894 commits to master branch, last one 5 months 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
A package for Counterfactual Explanations and Algorithmic Recourse in Julia.
Created 2021-12-22
1,772 commits to main branch, last one about a month ago
An Open-Source Library for the interpretability of time series classifiers
Created 2022-08-15
449 commits to main branch, last one 2 months ago
11
86
unknown
4
Model Agnostic Counterfactual Explanations
Created 2019-06-20
111 commits to master branch, last one 3 years 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 10 months ago
Meaningfully debugging model mistakes with conceptual counterfactual explanations. ICML 2022
Created 2022-05-30
5 commits to main branch, last one about a year 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 9 months ago