ETH course - Solving PDEs in parallel on GPUs
CUDA programming in Julia
Reusable array functionality for Julia's various GPU backends
Reusable compiler infrastructure for Julia GPU backends
AMD GPU (ROCm) programming in Julia
Distributed parallelization of stencil-based GPU and CPU applications
Heterogeneous programming in Julia
Package for writing high-level code for parallel stencil computations
Julia wrapper for the LLVM C API
A Julia framework for invertible neural networks
Neural Network primitives with multiple backends
A Julia Basket of Hand-Picked Krylov Methods
Boosted trees in Julia
Metal programming in Julia
Tullio is a very flexible einsum macro
Probabilistic Circuits from the Juice library
A style guide for stylish Julia developers
Interactive data visualizations and plotting in Julia
Fast sequential, threaded, and distributed for-loops for Julia
Optimal transport algorithms for Julia
3D computer vision library in Julia
Julia wrapper for the ArrayFire library
Julia support for native CUDA programming
A Curious Cumulation of CUDA Cuisine
A Julia wrapper for TensorFlow