1558 Open source projects that are alternatives of or similar to Cuda Api Wrappers

stdgpu: Efficient STL-like Data Structures on the GPU

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Implementation of SYCL for CPUs, AMD GPUs, NVIDIA GPUs

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ILGPU JIT Compiler for high-performance .Net GPU programs

ArrayFire: a general purpose GPU library.

BitCracker is the first open source password cracking tool for memory units encrypted with BitLocker

Rust wrapper for ArrayFire

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The write-once-run-anywhere GPGPU library for Rust

R interface to use GPU's

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

Fork of CUDA GPU memtest 👓

SDK for GPU accelerated genome assembly and analysis

The C++ parallel algorithms library.

CUDA integration for Python, plus shiny features

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Robotics with GPU computing

Experiments with CUDA and Rust

OptiX Path Tracer

A community run, 5-day PyTorch Deep Learning Bootcamp

cuML - RAPIDS Machine Learning Library

The C++ Standard Library for your entire system.

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)

A CUDA implementation of SIFT for NVidia GPUs (1.2 ms on a GTX 1060)

Vulkan compute for people

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

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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

gmonitor is a GPU monitor (Nvidia only at the moment)

High-performance Bayesian Data Analysis on the GPU in Clojure

Concurrent CPU-GPU Programming using Task Models

Tests and benchmarks for cudnn (and in the future, other nvidia libraries)

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

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Deep.Net machine learning framework for F#

OpenCL integration for Python, plus shiny features

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

A fast Clojure Tensor & Deep Learning library

GPGPU Javascript library 🐸

Cooperative primitives for CUDA C++.

Algorithms implemented in CUDA + resources about GPGPU

Set up CUDA for machine learning (and gaming) on macOS using a NVIDIA eGPU

CUDAfy .NET allows easy development of high performance GPGPU applications completely from the .NET. It's developed in C#.

Python bindings for ArrayFire: A general purpose GPU library.

This repository consists for gpu bootcamp material for HPC and AI

BriefMatch real-time GPU optical flow

JetScan : GPU accelerated portable RGB-D reconstruction system

An ultra-fast, GPU-based large graph embedding algorithm utilizing a novel coarsening algorithm requiring not more than a single GPU.

A stream processing framework for high-throughput applications.

Some basic programming tutorials

monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture

FLAME GPU 2 is a GPU accelerated agent based modelling framework for C++ and Python

GitHub Action to install CUDA

A very easy to use Youtube Data v3 API wrapper.

CUDA bindings for Ruby