Popular GitHub Repositories for Bias Sensitivity

Fit interpretable models. Explain blackbox machine learning.

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.

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

XAI - An eXplainability toolbox for machine learning

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Curated list of open source tooling for data-centric AI on unstructured data.

Notes for Deep Learning Specialization Courses led by Andrew Ng.

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.

Tensorflow tutorial for various Deep Neural Network visualization techniques

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

The official repo for [NeurIPS'21] "ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias" and [IJCV'22] "ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond"

PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.

Remove problematic gender bias from word embeddings.

Official datasets and pytorch implementation repository of SQuARe and KoSBi (ACL 2023)

LangFair is a Python library for conducting use-case level LLM bias and fairness assessments

Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM

WEFE: The Word Embeddings Fairness Evaluation Framework. WEFE is a framework that standardizes the bias measurement and mitigation in Word Embeddings models. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!