megantosh / fairness_measures_code
☆38Updated 6 months ago
Related projects: ⓘ
- ☆56Updated 3 years ago
- Comparing fairness-aware machine learning techniques.☆159Updated last year
- Research code for auditing and exploring black box machine-learning models.☆130Updated last year
- Accompanying source code for "Runaway Feedback Loops in Predictive Policing"☆16Updated 6 years ago
- ☆359Updated 3 years ago
- ☆9Updated 3 years ago
- Repo for GIAN fairness course☆54Updated 7 years ago
- Themis™ is a software fairness tester.☆101Updated 4 years ago
- ☆31Updated 7 months ago
- Code for reproducing results in Delayed Impact of Fair Machine Learning (Liu et al 2018)☆13Updated 2 years ago
- python tools to check recourse in linear classification☆74Updated 3 years ago
- A library that implements fairness-aware machine learning algorithms☆124Updated 3 years ago
- An open source package that evaluate the fairness of a Neural Network using a fairness metric called p% rule.☆18Updated 5 years ago
- Code and data for the experiments in "On Fairness and Calibration"☆49Updated 2 years ago
- This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.☆117Updated 3 years ago
- A visual analytic system for fair data-driven decision making☆25Updated last year
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆28Updated 5 years ago
- Implementation of provably Rawlsian fair ML algorithms for contextual bandits.☆14Updated 7 years ago
- simple customizable scoring systems in python☆41Updated 11 months ago
- Python code for training fair logistic regression classifiers.☆188Updated 2 years ago
- A post-processing method to create fair rankings wrt ranked group fairness☆15Updated 5 years ago
- Practical ideas on securing machine learning models☆36Updated 3 years ago
- 2016 Election Data Hackathon, Bay Area WiMLDS☆18Updated 7 years ago
- A simulator for recommender systems☆43Updated 6 months ago
- field experiments tutorial☆27Updated 10 years ago
- Interpretable ML package designed to explain any machine learning model.☆60Updated 6 years ago
- NEXT is a machine learning system that runs in the cloud and makes it easy to develop, evaluate, and apply active learning in the real-wo…☆160Updated 3 months ago
- Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)☆46Updated 3 years ago
- Experiments for AAAI anchor paper☆61Updated 6 years ago
- An API to access data from The New Yorker Caption Contest☆60Updated last year