google / ml-fairness-gymLinks
☆316Updated 2 years ago
Alternatives and similar repositories for ml-fairness-gym
Users that are interested in ml-fairness-gym are comparing it to the libraries listed below
Sorting:
- Comparing fairness-aware machine learning techniques.☆160Updated 3 years ago
- Python code for training fair logistic regression classifiers.☆192Updated 4 years ago
- This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.☆119Updated 4 years ago
- python tools to check recourse in linear classification☆77Updated 5 years ago
- A Python sandbox for decision making in dynamics☆423Updated 2 years ago
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆77Updated 2 years ago
- A library that implements fairness-aware machine learning algorithms☆125Updated 5 years ago
- Datasets derived from US census data☆274Updated last year
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆299Updated 2 years ago
- Tensorflow's Fairness Evaluation and Visualization Toolkit☆357Updated 5 months ago
- A curated list of awesome Fairness in AI resources☆330Updated 2 years ago
- ☆312Updated 4 years ago
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- Data Shapley: Equitable Valuation of Data for Machine Learning☆286Updated last year
- All about explainable AI, algorithmic fairness and more☆110Updated 2 years ago
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- 🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorith…☆417Updated last year
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆85Updated 3 years ago
- The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).☆223Updated 2 weeks ago
- Code for the TCAV ML interpretability project☆649Updated 7 months ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆813Updated 3 years ago
- Implementations and examples of common offline policy evaluation methods in Python.☆224Updated 2 years ago
- Hands-on tutorial on ML Fairness☆74Updated 2 years ago
- Bias Auditing & Fair ML Toolkit☆746Updated this week
- Supervised Local Modeling for Interpretability☆29Updated 7 years ago
- Python implementations of contextual bandits algorithms☆818Updated 7 months ago
- ☆135Updated 6 years ago
- A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.☆415Updated 5 years ago
- LOcal Rule-based Exlanations☆54Updated 2 years ago
- Code for reproducing results in Delayed Impact of Fair Machine Learning (Liu et al 2018)☆14Updated 3 years ago