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.
-
Updated
Jun 15, 2026 - 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.
Interpretability and explainability of data and machine learning models
Command Line Artificial Intelligence or CLAI is an open-sourced project from IBM Research aimed to bring the power of AI to the command line interface.
Library for Semi-Automated Data Science
Quality Controlled Paraphrase Generation (ACL 2022)
IBM Environmental Intelligence Geospatial APIs SDK
Pytorch code for "Learning Implicit Generative Models by Matching Perceptual Features", ICCV 2019
To associate your repository with the ibm-research topic, visit your repo's landing page and select "manage topics."