832 Open source projects that are alternatives of or similar to Cuda Design Patterns

Lighthouse 2 framework for real-time ray tracing

Numeric Erlang - vector and matrix operations with CUDA. Heavily inspired by Pteracuda - https://github.com/kevsmith/pteracuda

Deep Learning library using GPU(CUDA/cuBLAS)

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

H2Oai GPU Edition

A GPU benchmark tool for evaluating GPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL)

oneAPI Math Kernel Library (oneMKL) Interfaces

A library for high performance deep learning inference on NVIDIA GPUs.

The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch

CUDA Matrix Factorization Library with Alternating Least Square (ALS)

A real time optical flow algorithm implemented on GPU

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

GPU Accelerated t-SNE for CUDA with Python bindings

Build userspace NVMe drivers and storage applications with CUDA support

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

Build and run Docker containers leveraging NVIDIA GPUs

Burstcoin C++ CPU and GPU Miner

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

A simple GPU hash table implemented in CUDA using lock free techniques

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

QUDA is a library for performing calculations in lattice QCD on GPUs.

Squeeze-and-Excitation Networks

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

Base container for developing C++ and Fortran HPC applications

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

BriefMatch real-time GPU optical flow

This repository consists for gpu bootcamp material for HPC and AI

monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture

Open3D: A Modern Library for 3D Data Processing

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

continuous energy monte carlo neutron transport in general geometries on 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。

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

High-Performance Multiple-Backend Renderer Based on LuisaCompute

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)

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

A collection of GICP-based fast point cloud registration algorithms

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

Cooperative primitives for CUDA C++.

A fast Clojure Tensor & Deep Learning library

CUDA programming in Julia.

Thin C++-flavored wrappers for the CUDA Runtime API

Julia wrapper for CUDA runtime API

GPU Fluid Simulation with Volumetric Rendering

High-performance Vision library in Python. Scale your research, not boilerplate.

Fork of CUDA GPU memtest 👓

Implementation of SYCL for CPUs, AMD GPUs, NVIDIA GPUs

A flexible framework of neural networks for deep learning

Python interface to GPU-powered libraries

Fast Clojure Matrix Library

GPU Javascript Library for Machine Learning

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

Bazel rules for building Grafana dashboards

Tutorial on how to build your own research envirorment for Deep Learning with OpenCV, Python, Tensorfow

Tutorial for using Singularity containers

Superpixel SLIC for GPU (CUDA)

Simulating on GPU using Material Point Method and rendering.

Deep Object Co-Segmentation