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:
- Python code for training fair logistic regression classifiers.☆191Updated 4 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆84Updated 3 years ago
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆298Updated 2 years ago
- Datasets derived from US census data☆276Updated last year
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆252Updated last year
- Code for "High-Precision Model-Agnostic Explanations" paper☆813Updated 3 years ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,492Updated 6 months ago
- Code for "Counterfactual Fairness" (NIPS2017)☆55Updated 7 years ago
- Data Shapley: Equitable Valuation of Data for Machine Learning☆288Updated last year
- ☆316Updated 2 years ago
- All about explainable AI, algorithmic fairness and more☆110Updated 2 years ago
- For calculating global feature importance using Shapley values.☆284Updated 2 weeks ago
- 💡 Adversarial attacks on explanations and how to defend them☆334Updated last year
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆31Updated 2 years ago
- python tools to check recourse in linear classification☆76Updated 5 years ago
- This repository contains the source code of the paper "Learning Accurate and Interpretable Decision Rule Sets from Neural Networks".☆16Updated 4 years ago
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆77Updated 2 years ago
- ☆916Updated 2 years ago
- Comparing fairness-aware machine learning techniques.☆161Updated 3 years ago
- Versatile Verification of Tree Ensembles☆20Updated last year
- library for fair auditing and learning of classifiers with respect to rich subgroup fairness.☆32Updated 6 years ago
- ☆125Updated 4 years ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆47Updated 8 months ago
- ☆11Updated 5 years ago
- Python implementation of the rulefit algorithm☆440Updated 2 years ago
- List of relevant resources for machine learning from explanatory supervision☆163Updated 6 months ago
- Interpretability and explainability of data and machine learning models☆1,760Updated 11 months ago
- Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.☆19Updated 2 years ago
- A benchmark for distribution shift in tabular data☆56Updated last year