99catherine99 Goto Github PK

algorithmic_fairness_matching

credit-card-approval-prediction-classification

Credit risk analysis for credit card applicants

credit-risk-modelling

Credit Risk analysis by using Python and ML

credit_risk_model

A comprehensive credit risk model and scorecard using data from Lending Club

effort_reward_fairness

Code for ICML 2019 paper titled "On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning"

ei_fairness

Code for the paper "Equal Improvability: A New Fairness Notion Considering the Long-term Impact". Poster at ICLR 2023

ethicml

Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency

fair-data-mining

Fairness-aware Data Mining

fair_class_balancing

This repository contains a sample implementation of Fair Class Balancing. For more information, see our paper Fair Class Balancing: Enhancing Model Fairness without Observing Sensitive Attributes published on CIKM 2020.

fairclassifier_using_kde

fairness-constraints-disparate-distreatment

Python code for training fair logistic regression classifiers.

huang-ching-wei

Fairness VAE

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

learning-fair-representations

Python numba implementation of Zemel et al. 2013

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

mutual-information-regularizer

Implemented a Conditional Non-discrimination classifier and a Fairness-Aware classifier with Prejudice Remover Regularizer to reduce racial bias in recidivism predictions.

vae

Data Mining Lab 2020. The Variational Fair Autoencoder.

vae2

Variational Fair Autoencoder (Research)

vfae