PracticalFairness / BookRepo
☆14Updated 4 years ago
Alternatives and similar repositories for BookRepo:
Users that are interested in BookRepo are comparing it to the libraries listed below
- Proposal Documents for Fairlearn☆9Updated 4 years ago
- ☆35Updated this week
- Practical ideas on securing machine learning models☆36Updated 3 years ago
- python tools to check recourse in linear classification☆74Updated 4 years ago
- Code for reproducing results in Delayed Impact of Fair Machine Learning (Liu et al 2018)☆14Updated 2 years ago
- Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.☆22Updated 5 years ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆24Updated 2 years ago
- Guidelines for the responsible use of explainable AI and machine learning.☆17Updated last year
- Hands-on tutorial on ML Fairness☆70Updated last year
- Lecture notes for 'Interpretable Machine Learning' at WUT and UoW. Summer semester 2019/2020☆28Updated 4 years ago
- Tutorial on Glassbox Machine Learning at KDD 2022☆8Updated 2 years ago
- Multi-Objective Counterfactuals☆41Updated 2 years ago
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆28Updated 5 years ago
- Paper and talk from KDD 2019 XAI Workshop☆20Updated 4 years ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆56Updated 7 months ago
- Code and data for the experiments in "On Fairness and Calibration"☆50Updated 2 years ago
- An R package to estimate the effect of interventions on univariate time series using ARIMA models☆19Updated 8 months ago
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- ☆9Updated 4 years ago
- Talks / presentations / tutorials about Fairlearn and fairness in ML☆22Updated 2 years ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆73Updated 4 years ago
- ☆93Updated 2 years ago
- ☆8Updated 2 years ago
- ☆12Updated 4 years ago
- Repository of experiments in fairness Machine Learning.☆8Updated 6 months ago
- A collection of implementations of fair ML algorithms☆12Updated 7 years ago
- PyTorch package to train and audit ML models for Individual Fairness☆64Updated last year
- Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds☆11Updated 5 years ago
- Code for "Counterfactual Fairness" (NIPS2017)☆52Updated 6 years ago
- ☆16Updated 5 years ago