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.

Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"

Climate science package for Julia

Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰

A collection of bias correction techniques written in Python - for climate sciences.

Evidence-based tools and community collaboration to end algorithmic bias, one data scientist at a time.

Multi-Calibration & Multi-Accuracy Boosting for R

Climate Data Bias Corrector: A tool to bias correct the Global Climate Model (GCM)/ Regional Climate Model (RCM) simulated future climatic daily projections.

Tools for Modeling Niches and Distributions of Species

HonestyMeter: An NLP-powered framework for evaluating objectivity and bias in media content, detecting manipulative techniques, and providing actionable feedback.

A simple bias correction of temperature, dew point, and 10m wind speeds for the GFS, HRRR, and ECMWF models for two US locations.

Examples of unfairness detection for a classification-based credit model

Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.

Comparison of weather station and gridded climate datasets

attitude estimator with gyro bias correction

Short description for quick search

Master thesis: Exploring bias in German NLG (GPT-3 & GerPT-2). Applies regard classification and bias mitigation triggers.

Bias correction method using quantile mapping

CAVAanalytics is a comprehensive framework for climate data analysis, offering streamlined access to data, advanced processing and visualization capabilities. It is designed to support a wide range of climate research and user needs

Scan your AI/ML models for problems before you put them into production.

An R package for non-stationary meteorological drought monitoring

Bias correction command-line tool for climatic research written in C++

Machine Learning Bias Mitigation

Debiasing: Mitigating Algorithmic Facial Bias repository

Applying a BiC class incremental learning model on Distributed optical fiber acoustic sensing signal pattern recognition.

Research POC on the mitigation of bias in large language models (FLAN-T5 and Bloomz) through fine-tuning.

Code accompanying the thesis project: "Understanding and Correcting Selection Bias in the Sentiments derived from Flemish Tweets".

This repository contains the main ResNet backbone experiments conducted in the ICLR 2022 spotlight paper "On the Importance of Firth Bias Reduction in Few-Shot Classification".

Source code of age-level bias correction

Steering GPT2-EMGSD less biased & Generating stereotyped text with vanilla GPT2 without fine tuning or prompt engineering