ustunb / actionable-recourseLinks
python tools to check recourse in linear classification
☆77Updated 4 years ago
Alternatives and similar repositories for actionable-recourse
Users that are interested in actionable-recourse are comparing it to the libraries listed below
Sorting:
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- Comparing fairness-aware machine learning techniques.☆159Updated 2 years ago
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- Python code for training fair logistic regression classifiers.☆191Updated 3 years ago
- Learning Certifiably Optimal Rule Lists☆176Updated 4 years ago
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆77Updated 2 years ago
- This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.☆119Updated 4 years ago
- ☆134Updated 6 years ago
- ☆124Updated 4 years ago
- simple customizable risk scores in python☆140Updated 2 years ago
- A python library to discover and mitigate biases in machine learning models and datasets☆20Updated 2 years ago
- 💊 Comparing causality methods in a fair and just way.☆140Updated 5 years ago
- ☆316Updated 2 years ago
- Supervised Local Modeling for Interpretability☆29Updated 7 years ago
- ☆53Updated 5 years ago
- Multi-Objective Counterfactuals☆42Updated 3 years ago
- Some notes on Causal Inference, with examples in python☆154Updated 5 years ago
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆29Updated 6 years ago
- Hands-on tutorial on ML Fairness☆72Updated 2 years ago
- ☆32Updated last year
- Public home of pycorels, the python binding to CORELS☆80Updated 5 years ago
- A library that implements fairness-aware machine learning algorithms☆126Updated 5 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆84Updated 2 years ago
- All about explainable AI, algorithmic fairness and more☆110Updated 2 years ago
- Code for reproducing results in Delayed Impact of Fair Machine Learning (Liu et al 2018)☆14Updated 3 years ago
- A Python package for unwrapping ReLU DNNs☆70Updated last year
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆294Updated 2 years ago
- Research code for auditing and exploring black box machine-learning models.☆132Updated 2 years ago
- Bayesian or-of-and☆35Updated 3 years ago
- This is a public collection of papers related to machine learning model interpretability.☆26Updated 3 years ago