Neural Network primitives with multiple backends
High-Performance Serverless event and data processing platform
Sort of like top or htop but with zoom-able charts, CPU, GPU
Graphical User Interface Toolkit for Python with minimal dependencies
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
Library providing end-to-end GPU-accelerated recommender systems
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
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
Pythonic tool for running machine-learning/high performance workflows