Gpu Computing GitHub Repositories (2026) · Open Source Tools

Video stabilization using gyroscope data

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

A modular and open-ended toolkit for WebGPU, with advanced type inference and the ability to write shaders in TypeScript

Write Java. Run on GPUs. Fast.

Optimized GPU compiler for LLM inference. Choose from a list of optimized recipes or optimize your own model via kernel fusion, autotuning, and advanced scheduling. Run benchmarks across different GPU types and configurations, track results and share experiments with the community.

Keep Python on your laptop. Run PyTorch operations and hold tensors on a remote GPU, including from a Mac with no CUDA installation.

Compiler for multiple programming models (SYCL, C++ standard parallelism, HIP/CUDA) for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!

A framework for high-performance medical image processing, neural network inference and visualization

Implementation of OpenCL 3.0 on Vulkan

Blender Integration for LuxCore

Numerical linear algebra software package

A cross-platform rendering hardware interface for .NET with a shared C# API for graphics and compute across DirectX 12, Metal 4, and Vulkan 1.4.

Python SYCL bindings and SYCL-based Python Array API library

Laplace's Scissors: protected readout rotations for open LLMs. Diagnose weak output directions, repair answers, preserve successful generations, and analyze scaling deviations with Rust and Triton on CUDA/HIP.

LuxCore source repository

An efficient C++20 GPU numerical computing library with Python-like syntax