Neural Network primitives with multiple backends
Sort of like top or htop but with zoom-able charts, CPU, GPU
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
High-performance Toolkit for WebGL-based data visualization
Heterogeneous programming in Julia
Package for writing high-level code for parallel stencil computations
ETH course - Solving PDEs in parallel on GPUs
Julia wrapper for the LLVM C API
Fast sequential, threaded, and distributed for-loops for Julia
CUDA programming in Julia
A Julia framework for invertible neural networks
A Julia Basket of Hand-Picked Krylov Methods
Boosted trees 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
3D Without Boundaries
MathMod is a mathematical modeling software
GPU Accelerated t-SNE for CUDA with Python bindings
Optimal transport algorithms for Julia
3D slider puzzles for kids; helps teach solid geometry