charmlab / mace
Model Agnostic Counterfactual Explanations
☆87Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for mace
- python tools to check recourse in linear classification☆74Updated 3 years ago
- Multi-Objective Counterfactuals☆40Updated 2 years ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆42Updated 3 months ago
- LOcal Rule-based Exlanations☆49Updated 11 months ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆34Updated last year
- A collection of algorithms of counterfactual explanations.☆50Updated 3 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆80Updated last year
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆30Updated last year
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆281Updated last year
- A lightweight implementation of removal-based explanations for ML models.☆57Updated 3 years ago
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆75Updated last year
- Generalized Optimal Sparse Decision Trees☆62Updated 7 months ago
- Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University☆45Updated last year
- Fair Empirical Risk Minimization (FERM)☆37Updated 4 years ago
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆102Updated 7 months ago
- Code and data for the experiments in "On Fairness and Calibration"☆49Updated 2 years ago
- Optimal Sparse Decision Trees☆100Updated last year
- ☆9Updated 3 years ago
- Public home of pycorels, the python binding to CORELS☆75Updated 4 years ago
- A Python package for unwrapping ReLU DNNs☆70Updated 9 months ago
- Datasets derived from US census data☆240Updated 5 months ago
- For calculating Shapley values via linear regression.☆65Updated 3 years ago
- Supervised Local Modeling for Interpretability☆28Updated 6 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆57Updated last year
- ☆124Updated 3 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆43Updated 2 years ago
- ☆12Updated 4 years ago
- All about explainable AI, algorithmic fairness and more☆107Updated last year
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆68Updated 3 years ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆57Updated 5 months ago