riccotti / LORELinks
LOcal Rule-based Exlanations
☆54Updated 2 years ago
Alternatives and similar repositories for LORE
Users that are interested in LORE are comparing it to the libraries listed below
Sorting:
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆85Updated 3 years ago
- Python code for training fair logistic regression classifiers.☆192Updated 3 years ago
- Datasets derived from US census data☆273Updated last year
- Code for "Counterfactual Fairness" (NIPS2017)☆57Updated 7 years ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆297Updated 2 years ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆812Updated 3 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆252Updated last year
- python tools to check recourse in linear classification☆77Updated 4 years ago
- All about explainable AI, algorithmic fairness and more☆110Updated 2 years ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆46Updated 6 months ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,474Updated 5 months ago
- For calculating global feature importance using Shapley values.☆282Updated this week
- ☆316Updated 2 years ago
- This repository provides details of the experimental code in the paper: Instance-based Counterfactual Explanations for Time Series Classi…☆22Updated 4 years ago
- Fair Empirical Risk Minimization (FERM)☆37Updated 5 years ago
- Versatile Verification of Tree Ensembles☆20Updated last year
- CPDAG Estimation using PC-Algorithm☆95Updated 3 years ago
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆77Updated 2 years ago
- Comparing fairness-aware machine learning techniques.☆160Updated 2 years ago
- ☆125Updated 4 years ago
- For calculating Shapley values via linear regression.☆71Updated 4 years ago
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆31Updated 2 years ago
- ☆11Updated 5 years ago
- Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.☆18Updated 2 years ago
- ☆205Updated 2 years ago
- Python implementation of the rulefit algorithm☆431Updated 2 years ago
- 💡 Adversarial attacks on explanations and how to defend them☆330Updated last year
- library for fair auditing and learning of classifiers with respect to rich subgroup fairness.☆32Updated 6 years ago
- A data index for learning causality.☆480Updated 2 years ago