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

Quantum emulator of the IBM Quantum experience

Pytorch code for "Learning Implicit Generative Models by Matching Perceptual Features", ICCV 2019

Some mixins used in ibm research apps

A Testing Framework for Decision-Optimization Model Learning Algorithms

AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases