gpu-computing

Video stabilization using gyroscope data

Deep learning in Rust, with shape checked tensors and neural networks

The write-once-run-anywhere GPGPU library for Rust

Sample code for compute shader 101 training

RDNA-native LLM inference engine in Rust.

🏃‍♂️💨 GPU accelerated STARK prover built on @arkworks-rs

Powerful Powerful Machine Learning library with GPU, CPU and WASM backends

Open source math and physics engine that executes MATLAB-syntax code. Features a modern compiler, automatic GPU acceleration for large calculations, and support for math on geometry / FEA calculations.

High Performance CPU/GPU Physically Based Renderer in Rust

A Deep Learning and preprocessing framework in Rust with support for CPU and GPU.

A learning-focused, high-performance tensor computation library built from scratch in Rust, featuring automatic differentiation and CPU/CUDA backends.

A Deep Learning framework with very few dependencies, Written in Rust

Distributed LLM inference fabric for heterogeneous local clusters. Features zero-copy SPSC ring buffers, automated tuning, and an OpenAI-compatible API.

Rust-native spatial computing for point clouds, computer vision, and GPU compute -- no C++/FFI layer.

vulkan api for Erlang

an open-source native bogosort miner for swapjs' bogostream.

vgpu is a barebones prototype engine for interactive, hardware-accelerated vector graphics written in rust. It focuses on scalability, response time, and simulation.

The native language for intelligent systems - Machine Intelligence Native Design

XLOG is a GPU-native logic programming language for unified symbolic reasoning. GPU-accelerated Datalog engine with probabilistic inference, inductive logic programmimg, and neural-symbolic integration.

Pure-Rust computational physics workspace: Cayley-Dickson algebra (4D-16384D), multi-spacecraft heliosphere analysis, GPU lattice-Boltzmann, formal verification (262 Rocq proofs), and 1400+ tracked claims across 68 crates.