691 Open source projects that are alternatives of or similar to Rustacuda

Fork of CUDA GPU memtest 👓

Rust wrapper for ArrayFire

This repository consists for gpu bootcamp material for HPC and AI

NumPy & SciPy for GPU

A stream processing framework for high-throughput applications.

High-Performance Graph Primitives on GPUs

A flexible framework of neural networks for deep learning

Python interface to GPU-powered libraries

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

Cooperative primitives for CUDA C++.

GraphVite: A General and High-performance Graph Embedding System

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture

GPU Accelerated t-SNE for CUDA with Python bindings

CUDA integration for Python, plus shiny features

An extensible HPC framework for CUDA, OpenCL and native CPU.

OptiX Path Tracer

Reference implementation for "Massively Parallel Rendering of Complex Closed-Form Implicit Surfaces" (SIGGRAPH 2020)

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

Deep Learning library using GPU(CUDA/cuBLAS)

Concurrent CPU-GPU Programming using Task Models

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

Deep.Net machine learning framework for F#

The C++ parallel algorithms library.

A Python wrapper of NVIDIA Video Loader (NVVL) with CuPy for fast video loading with Python

A collection of GICP-based fast point cloud registration algorithms

The C++ Standard Library for your entire system.

Single C file, Realtime CPU/GPU Profiler with Remote Web Viewer

A structured light scanner

JCuda - Java bindings for CUDA

A Neural Network Toolkit.

Burstcoin C++ CPU and GPU Miner

An open-source library of algorithms to analyse time series in GPU and CPU.

Examples of C# code compiled to GPU by hybridizer

cuML - RAPIDS Machine Learning Library

H2Oai GPU Edition

🐜 A CUDA based miner for Monero

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

SDK for GPU accelerated genome assembly and analysis

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

Automatic parallelization of Python/NumPy, C, and C++ codes on Linux and MacOSX

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

Squeeze-and-Excitation Networks

No description or website provided.

CUDA Matrix Factorization Library with Alternating Least Square (ALS)

Achieve peak performance on x86 CPUs and NVIDIA GPUs

Dockerfiles for OpenCV compiled with CUDA, opencv_contrib modules and Python 3 bindings

gprMax is open source software that simulates electromagnetic wave propagation using the Finite-Difference Time-Domain (FDTD) method for numerical modelling of Ground Penetrating Radar (GPR)

This is a list of useful libraries and resources for CUDA development.

A flexible, high-performance carrier for machine learning models（『飞桨』服务化部署框架）

High-level Deep Learning Framework written in Kotlin and inspired by Keras

Miscellaneous Shaders in Unity, WIP(maybe?)

RealSR super resolution implemented with ncnn library

Language and compiler for the Raspberry Pi GPU

a reimplementation of PWC-Net in PyTorch that matches the official Caffe version

FSA/FST algorithms, differentiable, with PyTorch compatibility.

Some basic programming tutorials

🌀 Oxygen Engine 2.0. [Preview] Discord: https://discord.gg/P3aMf66

An open access book on Python, OpenGL and Scientific Visualization, Nicolas P. Rougier, 2018

This library apply video filter on generate an Mp4 and on ExoPlayer video and Video Recording with Camera2.