403 Open source projects that are alternatives of or similar to Cuarrays.jl

Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.

GPU-accelerated Cloth TOP node for TouchDesigner using the NVIDIA Flex physics solver.

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

Generate displacement fields with known volume changes

Let's jump into CUDA development with Rust

GPU PyTorch TOP in TouchDesigner with CUDA-enabled OpenCV

Lane depertaure and Yolo objection detection C++ Linux

Brain Simulator is a platform for visual prototyping of artificial intelligence architectures.

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

Lightning fast & tiny C++/CUDA neural network framework

an implementation of parallel linear BVH (LBVH) on GPU

BriefMatch real-time GPU optical flow

Dockerfile containing FFmpeg, OpenCV4 and Python2/3, based on Ubuntu LTS

An efficient C++17 GPU numerical computing library with Python-like syntax

Implementation of Newcombe et al. CVPR 2015 DynamicFusion paper

Implementation of Macklin, Miles, and Matthias Müller. "Position based fluids.". Visual Studio 2015 + CUDA 8.0

Implementation of Cuda to OpenGL rendering

GitHub Action to install CUDA

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

GPU Fluid Simulation with Volumetric Rendering

An open-source solver tool for the Maxwell-Bloch equations.

Lightweight Cuda Renderer with Python Wrapper.

Instant neural graphics primitives: lightning fast NeRF and more

GPU Raytracer from scratch in C++/CUDA

Simple tool to calculate sha256 on GPU using Cuda

Astrophysics program simulating the evolution of star systems based on the fast multipole method on adaptive Octrees

GPU-accelerated N-Body particle simulator with visualizer.

A cross-platform CUDA/C++14 starter project with google test and google benchmark support.

CUDA tool set for non-C++ languages that provides similar functionality like Thrust, with NVRTC at its core.

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 simple gravitational N-body simulation in less than 100 lines of C code, with CUDA optimizations.

PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT

Implementation of A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application

Facebook's CUDA extensions.

continuous energy monte carlo neutron transport in general geometries on GPUs

Crowdsourcing video experiments (such as collaborative benchmarking and optimization of DNN algorithms) using Collective Knowledge Framework across diverse Android devices provided by volunteers. Results are continuously aggregated in the open repository:

bazel.cmake mimics the behavior of bazel to simplify the usability of CMake

Implementation of the KinectFusion approach in modern C++14 and CUDA

Experimental parallel compression algorithm

A fast (?) random sampling drawing library

All-in-one mixed multi-GPU (nVidia, AMD, Intel) & CPU miner solves proof of work to mine supported EIP918 tokens in a single instance (with API).

A library for real-time video stream decoding to CUDA memory

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

Various C/C++ examples. DirectX, OpenGL, CUDA, Vulkan, OpenCL.

Fork of CUDA GPU memtest 👓

PopSift is an implementation of the SIFT algorithm in CUDA.

monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture

A domain-specific language and compiler for image processing

CUDA bindings for Ruby

Learn CUDA Programming, published by Packt

JetScan : GPU accelerated portable RGB-D reconstruction system

TensorFlow builds compiled on windows with avx and avx2 extensions

A stream processing framework for high-throughput applications.

Script to remotely check GPU servers for free GPUs

[内测中]前向式Python环境快捷封装工具，快速将Python打包为EXE并添加CUDA、NoAVX等支持。

a reimplementation of LiteFlowNet in PyTorch that matches the official Caffe version

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

Your 🔵 Superintelligence

High-Performance Multiple-Backend Renderer Based on LuisaCompute

an implementation of Revisiting Adaptive Convolutions for Video Frame Interpolation using PyTorch