MSCCL++: A GPU-driven communication stack for scalable AI applications

Making large AI models cheaper, faster and more accessible

A Julia package for clusterless distributed computing on Azure

Code accompanying my blog post: So, what is a physics-informed neural network?

Train large-scale surrogate models for CO2 flow in porous media or for solving the 3D Navier Stokes Equation.

FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability

Fast and simple fluid simulator in Julia

NODAL is an Open Distributed Autotuning Library in Julia

Julia Devito inversion.

A Julia framework for invertible neural networks

DSL and compiler framework for automated finite-differences and stencil computation

Medical Imaging Deep Learning library to train and deploy 3D segmentation models on Azure Machine Learning

Flux extensions for JUDI