nikikilbertus / fairensicsLinks
A python library to discover and mitigate biases in machine learning models and datasets
☆20Updated last year
Alternatives and similar repositories for fairensics
Users that are interested in fairensics are comparing it to the libraries listed below
Sorting:
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- python tools to check recourse in linear classification☆76Updated 4 years ago
- Supervised Local Modeling for Interpretability☆29Updated 6 years ago
- ☆20Updated 6 years ago
- Blind Justice Code for the paper "Blind Justice: Fairness with Encrypted Sensitive Attributes", ICML 2018☆14Updated 6 years ago
- Achieve error-rate fairness between societal groups for any score-based classifier.☆18Updated last year
- Bayesian or-of-and☆34Updated 3 years ago
- ☆9Updated 4 years ago
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆77Updated last year
- Uncertainty in Conditional Average Treatment Effect Estimation☆32Updated 4 years ago
- Code/figures in Right for the Right Reasons☆55Updated 4 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- ☆14Updated last year
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 3 years ago
- ☆18Updated last year
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆28Updated 4 years ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- repository for R library "sbrlmod"☆25Updated last year
- This is a benchmark to evaluate machine learning local explanaitons quality generated from any explainer for text and image data☆30Updated 4 years ago
- Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling☆31Updated 4 years ago
- General Latent Feature Modeling for Heterogeneous data☆49Updated last year
- A collection of implementations of fair ML algorithms☆12Updated 7 years ago
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆11Updated 4 years ago
- The holdout randomization test: feature selection using black box predictive models☆21Updated 4 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- This repository contains implementations of algorithms proposed in recent papers from top machine learning conferences on Fairness, Accou…☆33Updated 2 years ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆56Updated 2 years ago
- Fair Empirical Risk Minimization (FERM)☆37Updated 4 years ago
- ☆16Updated 3 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago