charmlab / mace
Model Agnostic Counterfactual Explanations
☆88Updated 2 years ago
Alternatives and similar repositories for mace:
Users that are interested in mace are comparing it to the libraries listed below
- python tools to check recourse in linear classification☆75Updated 4 years ago
- Multi-Objective Counterfactuals☆41Updated 2 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 3 years ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆286Updated last year
- Generalized Optimal Sparse Decision Trees☆62Updated last year
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆30Updated 2 years ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆43Updated 8 months ago
- Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University☆45Updated 2 years ago
- A collection of algorithms of counterfactual explanations.☆50Updated 4 years ago
- ☆125Updated 3 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆73Updated 4 years ago
- Optimal Sparse Decision Trees☆103Updated last year
- LOcal Rule-based Exlanations☆53Updated last year
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆104Updated last year
- Supervised Local Modeling for Interpretability☆28Updated 6 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆82Updated 2 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆63Updated 2 years ago
- Fast and incremental explanations for online machine learning models. Works best with the river framework.☆54Updated 3 months ago
- Public home of pycorels, the python binding to CORELS☆78Updated 4 years ago
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 2 years ago
- Code/figures in Right for the Right Reasons☆55Updated 4 years ago
- 👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)☆28Updated 2 years ago
- Fair Empirical Risk Minimization (FERM)☆37Updated 4 years ago
- ☆9Updated 4 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆43Updated 2 years ago
- Extended Complexity Library in R☆57Updated 4 years ago
- ☆11Updated 4 years ago
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆59Updated 7 months ago
- Code for "Counterfactual Fairness" (NIPS2017)☆52Updated 6 years ago