lvhimabindu / interpretable_decision_sets
☆19Updated 6 years ago
Alternatives and similar repositories for interpretable_decision_sets:
Users that are interested in interpretable_decision_sets are comparing it to the libraries listed below
- python tools to check recourse in linear classification☆74Updated 4 years ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- An implementation of IDS (Interpretable Decision Sets) algorithm.☆23Updated 3 years ago
- Code and data for the experiments in "On Fairness and Calibration"☆50Updated 2 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- Multi-Objective Counterfactuals☆41Updated 2 years ago
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆30Updated last year
- Supervised Local Modeling for Interpretability☆28Updated 6 years ago
- Code/figures in Right for the Right Reasons☆55Updated 4 years ago
- A lightweight implementation of removal-based explanations for ML models.☆57Updated 3 years ago
- Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]☆50Updated 4 years ago
- Experiments for AAAI anchor paper☆62Updated 6 years ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆42Updated 5 months ago
- ☆124Updated 3 years ago
- A python library to discover and mitigate biases in machine learning models and datasets☆20Updated last year
- ☆28Updated 3 years ago
- ☆38Updated 7 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆81Updated 2 years ago
- Fair Empirical Risk Minimization (FERM)☆37Updated 4 years ago
- For calculating Shapley values via linear regression.☆66Updated 3 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆40Updated 2 years ago
- Interpretation of Neural Network is Fragile☆36Updated 8 months ago
- repair classifiers with disparate impact☆10Updated 5 years ago
- Code for "Counterfactual Fairness" (NIPS2017)☆52Updated 6 years ago
- ☆50Updated last year
- repository for R library "sbrlmod"☆25Updated 8 months ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆60Updated last year
- ☆32Updated 7 years ago
- [ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples☆67Updated 2 years ago
- [NeurIPS 2019] H. Chen*, H. Zhang*, S. Si, Y. Li, D. Boning and C.-J. Hsieh, Robustness Verification of Tree-based Models (*equal contrib…☆26Updated 5 years ago