Gpu
Showing 16 of 52 projects
A Python library for loading, shaping, embedding, and exploring large graphs with GPU-accelerated visualization and analytics.
A curated collection of high-quality OpenGL libraries, debuggers, tutorials, and resources for graphics developers.
A curated list of awesome OpenGL libraries, debuggers, tutorials, and resources for graphics programming.
NVIDIA's implementation of the C++ Standard Library for CUDA C++ development.
A collection of tools for inspecting, tweaking, and replaying graphics API calls between applications and GPU drivers.
A Vulkan-based source port of id Software's Quake, offering enhanced graphics and performance over QuakeSpasm.
A collection of GPU-accelerated graph analytics libraries for creating, manipulating, and executing scalable graph algorithms.
A GPU-accelerated image and video processing framework for Apple platforms built on Metal.
A fast 2kB low-level WebGL library for GPU-accelerated particle systems and high-performance visual effects.
A fork of Emacs that adds modern features like TypeScript/JavaScript support via Deno, GPU-accelerated rendering with WebRender, and improved async I/O.
A JIT compiler for writing high-performance GPU programs in .NET languages like C#, offering CUDA-level performance with C# convenience.
A C++ GPU computing library providing an STL-like interface for OpenCL-based parallel programming.
A collection of high-performance GICP-based point cloud registration algorithms with multi-threaded and GPU-accelerated implementations.
A fast Support Vector Machine (SVM) library that leverages GPUs and multi-core CPUs for high-performance machine learning.
A write-once-run-anywhere GPGPU library for Rust that abstracts WebGPU for CUDA-like compute with portability across desktop, mobile, and browser.
A high-level Deep Learning API for JVM and Android developers, written in Kotlin and inspired by Keras.
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