Top 13 fairness open source projects

Awesome Machine Learning Interpretability

A curated list of awesome machine learning interpretability resources.

✭ 2,404

machine-learning awesome awesome-list data-science data-mining interpretability transparency fairness accountability interpretable-deep-learning interpretable-ai interpretable-ml explainable-ml xai fatml interpretable-machine-learning iml machine-learning-interpretability

fairlens

Identify bias and measure fairness of your data

✭ 51

python data-science data statistics pandas data-analysis bias fairness

aequitas

Fairness regulator and rate limiter

✭ 49

erlang Makefile rate-limiting outlier-detection fairness

vania

A module which fairly distributes a list of arbitrary objects among a set of targets, considering weights.

✭ 75

python distribution task programming module model linear fairness

easyFL

An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).

✭ 104

python machine-learning deep-learning distributed-computing pytorch fairness federated-learning

themis-ml

A library that implements fairness-aware machine learning algorithms

✭ 93

Jupyter Notebook TeX python machine-learning-algorithms transparency fairness accountability discrimination ethics social-bias

FairAI

This is a collection of papers and other resources related to fairness.

✭ 55

HTML SCSS machine-learning algorithm ai artificial-intelligence icdm fair papers kdd cikm bias aaai fate ijcai nips fairness discrimination ethics icml aistats uai

bias-in-credit-models

Examples of unfairness detection for a classification-based credit model

✭ 18

Jupyter Notebook python fairness bias-correction ethical-data-science fairness-testing bias-detection fairness-ai

LFM1b-analyses

Python scripts for studying bias in recommender systems

✭ 18

Jupyter Notebook bias fairness recommendersystems

deep-explanation-penalization

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

interpretable-ml

Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

✭ 17

Jupyter Notebook data-science machine-learning data-mining gradient-boosting-machine transparency decision-trees fairness lime accountability interpretability interpretable-ai interpretable-ml xai fatml interpretable interpretable-machine-learning iml machine-learning-interpretability

responsible-ai-toolbox

This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.

cqr

Conformalized Quantile Regression

✭ 152

Jupyter Notebook python r deep-learning random-forest prediction pytorch fairness quantile-regression conformal-prediction random-forest-regression prediction-intervals algorithmic-fairness conformal-methods

1-13 of 13 fairness projects