ustunb / actionable-recourseLinks
python tools to check recourse in linear classification
☆76Updated 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☆87Updated 2 years ago
- ☆9Updated 4 years ago
- Comparing fairness-aware machine learning techniques.☆159Updated 2 years ago
- Python code for training fair logistic regression classifiers.☆189Updated 3 years ago
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆82Updated 2 years ago
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆77Updated last year
- Multi-Objective Counterfactuals☆41Updated 2 years ago
- A python library to discover and mitigate biases in machine learning models and datasets☆20Updated last year
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.☆117Updated 4 years ago
- Datasets derived from US census data☆263Updated last year
- ☆134Updated 5 years ago
- Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University☆45Updated 2 years ago
- Public home of pycorels, the python binding to CORELS☆80Updated 4 years ago
- All about explainable AI, algorithmic fairness and more☆109Updated last year
- Code for "Counterfactual Fairness" (NIPS2017)☆54Updated 6 years ago
- LOcal Rule-based Exlanations☆52Updated last year
- Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…☆59Updated 5 years ago
- Supervised Local Modeling for Interpretability☆29Updated 6 years ago
- simple customizable risk scores in python☆137Updated last year
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆44Updated this week
- Some notes on Causal Inference, with examples in python☆153Updated 5 years ago
- ☆125Updated 4 years ago
- Code for reproducing results in Delayed Impact of Fair Machine Learning (Liu et al 2018)☆14Updated 2 years ago
- Code/figures in Right for the Right Reasons☆55Updated 4 years ago
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆28Updated 5 years ago
- This is a benchmark to evaluate machine learning local explanaitons quality generated from any explainer for text and image data☆30Updated 4 years ago
- List of python packages for causal inference☆17Updated 3 years ago
- ☆53Updated 5 years ago