#Gpgpu
Showing 24 of 24 repositories tagged #gpgpu, ranked by stars
Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.
A modular and open-ended toolkit for WebGPU, with advanced type inference and the ability to write shaders in TypeScript
General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
Multi-platform high-performance compute language extension for Rust.
A GPU accelerated image and video processing framework built on Metal.
The write-once-run-anywhere GPGPU library for Rust
List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
Rust wrapper for ArrayFire
OpenCL for Rust
Digit recognition with Convolutional Neural Networks in WebGL
(Mirror of GitLab) GPGPU Framework for Rust
GPU-accelerated data science and visualization in node
Large-scale 3D graph vis software written in Rust.
Aardvark.Rendering is a high-performance, dependency-aware rendering engine. It is part of the open-source Aardvark Platform for visual computing, real-time graphics, and visualization.
portDNN is a library implementing neural network algorithms written using SYCL
Neural networks library for machine learning on PHP
A high-level Swift framework that simplifies working with GPU Metal Compute.
CUDA Guide
GPGPU for mobile devices and embedded systems using OpenGL ES 2.0
DeepSparkHub selects hundreds of application algorithms and models, covering various fields of AI and general-purpose computing, to support the mainstream intelligent computing scenarios. This repository is the mirror of Gitee.
๐ฉโ๐ป Matrix and other math, accelerated by WebGPU and WASM
Realtime rectangle detector with GPGPU
Neural network library written in C and Javascript