Implementation of Adversarial Debiasing in PyTorch to address Gender Bias

Python code for training fair logistic regression classifiers.

Flexible tool for bias detection, visualization, and mitigation

moDel Agnostic Language for Exploration and eXplanation

The Trendiness of Trends

DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.

Deep learning for clustering of multivariate short time series with potentially many missing values

An index of algorithms for learning causality with data

missCompare R package - intuitive missing data imputation framework

Bias Auditing & Fair ML Toolkit

Optimal cutpoints in R: determining and validating optimal cutpoints in binary classification

Code for "Counterfactual Fairness" (NIPS2017)

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

R package for computing and visualizing fair ML metrics

Feature Selection Simulation Files

Hyperparameter Experiments with TensorFlow and Keras

A general-purpose tool for dynamic report generation in R

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

Easily install and load packages from the tidyverse

This is the code detailing the SCALLOP web-browser. The SCALLOP is a proteomics QTL study of >20k people. The browser enables browsing of results.