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.
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Updated
May 20, 2024 - Python
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.
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Solutions on Practical Data Science Specialization on Coursera (offered by deeplearning.ai)
Curated list of open source tooling for data-centric AI on unstructured data.
To help public defenders better serve their clients, Open Sentencing shows racial bias in data such as demographics providing insights for each case
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!
Scan your AI/ML models for problems before you put them into production.
Detection of propaganda or partisan allegiance in natural text.
Code & Data for the paper "RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models"
Learning to Split for Automatic Bias Detection
Tools for diagnostics and assessment of (machine learning) models
Using open source NLP apis and sentiment analysis to create a bias detection web extension.
Multi-Calibration & Multi-Accuracy Boosting for R
"Learning Stable Classifiers by Transferring Unstable Features" ICML 2022
Our ML model calculates the biasness of a political article based on linguistic features and classifies them as biased towards the ruling government, bias towards the opposition, or neutral.
Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)
👚 Speedy Word Embedding Association Test & Extras using R
Our submission to the SemEval2019 shared task on Hyperpartisan News Detection.
Materials to reproduce findings in our story, "Google Ad Portal Equated 'Black Girls' With Porn"
Ideology Detection in the Indian Mass Media
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