440 Open source projects that are alternatives of or similar to Wgpu

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

An OpenGL Image Processing Library (in C++/GLSL).

Spectral, quasi-3D Particle-In-Cell code, for CPU and GPU

Base container for developing C++ and Fortran HPC applications

CPU-X is a Free software that gathers information on CPU, motherboard and more

webgpufundamentals.org

NVIDIA Management Library (NVML) bindings for Go

90%+ with 40 labels. please see the readme for details.

A flexible framework of neural networks for deep learning

WebGPU trial

Pure C# machine learning framework

Webbased Character Animation System

A GLSL Path Tracer

A GPU-accelerated ONNX inference run-time written 100% in Rust, ready for the web

pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support

Experimental Three.js WebGPU renderer

Library for faster pinned CPU <-> GPU transfer in Pytorch

A sand simulation game

💥💻💥 A data-parallel functional programming language

KTX 2.0 (.ktx2) parser and serializer.

Fast Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)

An experimental ECS written in Javascript.

Some CUDA design patterns and a bit of template magic for CUDA

WebGPU Samples & RnD

Intel® Graphics Compute Runtime for oneAPI Level Zero and OpenCL™ Driver

Facilities to load native DLLs from .NET. More flexible and hide platform specifics.

Deep learning for recommender systems

Experiment implementation of Multiple Neighborhoods Cellular Automata using WebGPU

iOS 弹幕库 OCBarrage, 同时渲染5000条弹幕也不卡, 轻量, 可拓展, 高度自定义动画, 超高性能, 简单易上手; A barrage render-engine with high performance for iOS. At the same time, rendering 5000 barrages is also very smooth, lightweight, scalable, highly custom animation, ultra high performance, simple and easy to use!

WebGPU Tutorial: Step-by-step graphics programming with WebGPU - the next-generation graphics API for the web.

NPlusMiner + GUI | NVIDIA/AMD/CPU miner | AI | Autoupdate | MultiRig remote management

Experimental Deno bindings to Mozilla's gfx-rs WebGPU implementation. See https://github.com/denoland/deno/issues/7863

Efficient video analysis at scale

Collection of C-language examples that demonstrate basic rendering and computation in WebGPU native.

RIFE, Real-Time Intermediate Flow Estimation for Video Frame Interpolation implemented with ncnn library

Data visualisation in Python based on OptiX 7.2 ray tracing framework.

Tuned OpenCL BLAS

Run GUI applications and desktops in docker and podman containers. Focus on security.

Multi-device OpenCL kernel load balancer and pipeliner API for C#. Uses shared-distributed memory model to keep GPUs updated fast while using same kernel on all devices(for simplicity).

Simplify HPC and Batch workloads on Azure

A tiny hardware-accelerated pixel frame buffer. 🦀

turbo.js - perform massive parallel computations in your browser with GPGPU.

The C++ Standard Library for your entire system.

JIT Compilation for Multiple Architectures: C++, OpenMP, CUDA, HIP, OpenCL, Metal

NumPy & SciPy for GPU

Simple physically based path tracer based on Nvidia's Optix Ray Tracing Engine

A C++ GPU Computing Library for OpenCL

Robotics with GPU computing

Lighthouse 2 framework for real-time ray tracing

Modified nVidia .inf files to run drivers on all video cards, research & telemetry free drivers

⚡️ A fast 2kB low-level WebGL API.

Rust wrapper for ArrayFire

Comparison tools

NVIDIA GPU Prometheus Exporter

⚡ Useful scripts when using TensorRT

The Mali GPU library used in Rockchip Platform

The templated deep learning framework, enabling framework-agnostic functions, layers and libraries.

Deep Learning library using GPU(CUDA/cuBLAS)

Alacritty is a modern terminal emulator that comes with sensible defaults, but allows for extensive configuration. By integrating with other applications, rather than reimplementing their functionality, it manages to provide a flexible set of features with high performance. The supported platforms currently consist of BSD, Linux, macOS and Windows.

Simple utilities to enable code reuse and portability between CUDA C/C++ and standard C/C++.