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☆75Updated 3 years ago
- Multi-Objective Counterfactuals☆40Updated 2 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆35Updated last year
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆42Updated 3 months ago
- A collection of algorithms of counterfactual explanations.☆50Updated 3 years ago
- LOcal Rule-based Exlanations☆49Updated 11 months ago
- A lightweight implementation of removal-based explanations for ML models.☆57Updated 3 years ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆283Updated 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
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆30Updated last year
- ☆9Updated 3 years ago
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆75Updated last year
- Fair Empirical Risk Minimization (FERM)☆37Updated 4 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆80Updated last year
- Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.☆17Updated last year
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆129Updated 4 years ago
- Generalized Optimal Sparse Decision Trees☆62Updated 8 months ago
- Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University☆45Updated last year
- 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
- A Python package for unwrapping ReLU DNNs☆70Updated 10 months ago
- 💊 Comparing causality methods in a fair and just way.☆138Updated 4 years ago
- For calculating Shapley values via linear regression.☆65Updated 3 years ago
- ☆124Updated 3 years ago
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…☆72Updated 2 years ago
- Optimal Sparse Decision Trees☆100Updated last year
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆57Updated last year
- [Experimental] Global causal discovery algorithms☆89Updated this week
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆43Updated 2 years ago
- Python code for training fair logistic regression classifiers.☆189Updated 2 years ago
- Example causal datasets with consistent formatting and ground truth☆66Updated last year