Machine learning metrics for distributed, scalable PyTorch applications.

Toolbox of models, callbacks, and datasets for AI/ML researchers.

NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Deep learning framework to train, deploy, and ship AI products Lightning fast.

Implementation/simulation of active neural generative coding (ANGC) for training neurobiologically-plausible active inference agent models.

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

MetisFL is a federated learning framework that allows developers to easily federate their machine learning workflows and train their models across distributed data silos without ever collecting the…

Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.

Graph Neural Network Library for PyTorch

A beautiful, simple, clean, and responsive Jekyll theme for academics

Shared repository for TRIP dataset for verifiable NLU and coherence measurement for text classifiers.

Recursive vessel tree generator

Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains

The cardiovascular repository contains C++ and Python programs useful for cardiovascular applications, in particular applications related to the SimVascular modeling and simulation software.

A brazen two-column theme for Jekyll.