403 Open source projects that are alternatives of or similar to Cuda_programming

Utilities for CUDA programming

[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。

LLVM backend for Accelerate

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

DES cracking using brute force algorithm and CUDA

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

MatConvNet: CNNs for MATLAB

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

Image recognition and classification using Convolutional Neural Networks with TensorFlow

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

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

continuous energy monte carlo neutron transport in general geometries on GPUs

A CUDA project for Molecular Dynamics, Brownian Dynamics, Hydrodynamics... intended to simulate a very generic system constructing a simulation with modules.

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

Deep Learning library using GPU(CUDA/cuBLAS)

Experimental parallel compression algorithm

Bregman ADMM for mass transportation on GPU

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).

The C++ Standard Library for your entire system.

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

Slides and demo code for past presentations

Fork of CUDA GPU memtest 👓

Weighted Softmax Loss Layer for Caffe

monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture

CUDA on Intel GPUs

CUDA bindings for Ruby

Helmut Hoffer von Ankershoffen experimenting with arm64 based NVIDIA Jetson (Nano and AGX Xavier) edge devices running Kubernetes (K8s) for machine learning (ML) including Jupyter Notebooks, TensorFlow Training and TensorFlow Serving using CUDA for smart IoT.

JetScan : GPU accelerated portable RGB-D reconstruction system

Atmospheric fluid dynamics solver optimized for GPUs.

A stream processing framework for high-throughput applications.

ThunderSVM: A Fast SVM Library on GPUs and CPUs

GPU-accelerated N-Body particle simulator with visualizer.

an implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch

Code accompanying my blog post on k-means in Python, C++ and CUDA

Execution primitives for C++

Achieve peak performance on x86 CPUs and NVIDIA GPUs

geometry processing and shape analysis framework

A community run, 5-day PyTorch Deep Learning Bootcamp

Base container for developing C++ and Fortran HPC applications

Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)

Collective Knowledge extension with unified and customizable benchmarks (with extensible JSON meta information) to be easily integrated with customizable and portable Collective Knowledge workflows. You can easily compile and run these benchmarks using different compilers, environments, hardware and OS (Linux, MacOS, Windows, Android). More info:

A Neural Network Toolkit.

DBCSR: Distributed Block Compressed Sparse Row matrix library

source code for paper "Deep Discrete Supervised Hashing"

Docker scripts for building ONNX Runtime with TensorRT and OpenVINO in manylinux environment

pytorch knn [cuda version]

GPU-accelerated data science and visualization in node

An interval arithmetic and affine arithmetic library for NVIDIA CUDA

Lane detection for the Nvidia Jetson TX2 using OpenCV4Tegra

py-faster-rcnn that can compile on windows directly

Python interface to GPU-powered libraries

Dragon: A Computation Graph Virtual Machine Based Deep Learning Framework.

A C++ Compute/Graphics Library and Toolchain enabling same-source CUDA/Host/Metal/OpenCL/Vulkan C++ programming and execution.

JCuda - Java bindings for CUDA

A structured light scanner

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

World's fastest and most advanced password recovery utility

an implementation of 3D Ken Burns Effect from a Single Image using PyTorch

FSA/FST algorithms, differentiable, with PyTorch compatibility.