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Libraries

Explore popular libraries and frameworks that you can leverage for your next AI/ML project.

AI Fairness 360 (AIF360)

Bias mitigation

Computer vision

AI Fairness 360 (AIF360) is a scikit-learn-compatible open-source Python library designed to detect and mitigate bias in machine learning models. Its compatibility with…

PyTorch-OOD

Anomaly detection

Novelty detection

Open-set recognition

Computer vision

PyTorch-OOD is an open-source Python library designed for out-of-distribution (OOD) detection and related tasks like anomaly detection, novelty detection, and open-set…

Kornia

Model exploration

Computer vision

Image preprocessing

Image segmentation

Kornia is a differentiable library that allows classical computer vision to be integrated into deep learning models. Developed by E. Riba, D. Mishkin, D. Ponsa, E. Rublee…

MONAI: Medical Open Network for AI

Medical imaging

Model exploration

MONAI (Medical Open Network for AI) is an open-source, community-supported framework for deep learning in healthcare imaging. Built on top of PyTorch, it provides…

Intro to Machine Learning with Sklearn

Carpentries Incubator

The Intro to Machine Learning with Sklearn workshop will walk you through introductory machine learning concepts as well as how to implement common ML methods (e.g.…

Intro to Deep Learning with Keras

Carpentries Incubator

The Intro to Deep Learning with Keras workshop will walk you through introductory deep learning concepts as well as how to build a neural networks in Keras. Keras is…

Intro to Deep Learning with PyTorch

The Intro to Deep Learning with PyTorch workshop from Udacity will walk you through introductory deep learning concepts as well as how to build a neural networks in PyTorch.…