algowatchpenn / GerryFairLinks
library for fair auditing and learning of classifiers with respect to rich subgroup fairness.
☆32Updated 6 years ago
Alternatives and similar repositories for GerryFair
Users that are interested in GerryFair are comparing it to the libraries listed below
Sorting:
- Python code for training fair logistic regression classifiers.☆191Updated 4 years ago
- Datasets derived from US census data☆276Updated last year
- Fair Empirical Risk Minimization (FERM)☆37Updated 5 years ago
- Code for "Counterfactual Fairness" (NIPS2017)☆55Updated 7 years ago
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- Comparing fairness-aware machine learning techniques.☆161Updated 3 years ago
- python tools to check recourse in linear classification☆76Updated 5 years ago
- General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.☆16Updated 5 years ago
- Learning Adversarially Fair and Transferable Representations☆56Updated 7 years ago
- ☆22Updated 6 years ago
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆86Updated 4 years ago
- For calculating Shapley values via linear regression.☆73Updated 4 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆84Updated 3 years ago
- Achieve error-rate fairness between societal groups for any score-based classifier.☆19Updated 5 months ago
- A benchmark for distribution shift in tabular data☆56Updated last year
- References for Papers at the Intersection of Causality and Fairness☆18Updated 7 years ago
- ☆316Updated 2 years ago
- A python library to discover and mitigate biases in machine learning models and datasets☆20Updated 2 years ago
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆31Updated 2 years ago
- LOcal Rule-based Exlanations☆54Updated 2 years ago
- This is a collection of papers and other resources related to fairness.☆95Updated 3 months ago
- ☆20Updated 6 years ago
- Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing☆48Updated 2 years ago
- Repository for "Differentiable Causal Discovery from Interventional Data"☆77Updated 4 years ago
- An amortized approach for calculating local Shapley value explanations☆105Updated 2 years ago
- Non-parametrics for Causal Inference☆50Updated 3 years ago
- This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.☆119Updated 4 years ago
- Code/figures in Right for the Right Reasons☆57Updated 5 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated last year