596 Open source projects that are alternatives of or similar to 3

C++ library for solving large sparse linear systems with algebraic multigrid method

A code generator for array-based code on CPUs and GPUs

software.intel.com/content/www/us/en/develop/articles/repo-evaluating-performance-productivity-oneapi.html

VexCL is a C++ vector expression template library for OpenCL/CUDA/OpenMP

ArrayFire: a general purpose GPU library.

OpenCL integration for Python, plus shiny features

CUDA integration for Python, plus shiny features

monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture

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

A fast Clojure Tensor & Deep Learning library

Script to remotely check GPU servers for free GPUs

Implementation of Newcombe et al. CVPR 2015 DynamicFusion paper

Official pytorch Code for CVPR2019 paper "Fast Human Pose Estimation" https://arxiv.org/abs/1811.05419

Blitz++ Multi-Dimensional Array Library for C++

ICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro

Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.

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

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

GPU PyTorch TOP in TouchDesigner with CUDA-enabled OpenCV

The C++ parallel algorithms library.

CUDA Voxelizer to convert polygon meshes into annotated voxel grids

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

Implementation of Cuda to OpenGL rendering

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

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

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

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 monocular dense mapping system corresponding to IROS 2018 "Quadtree-accelerated Real-time Monocular Dense Mapping"

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

Unsupervised Learning of Video Representations using LSTMs

PopSift is an implementation of the SIFT algorithm in CUDA.

Ruby/Numo::NArray - New NArray class library

Instant neural graphics primitives: lightning fast NeRF and more

Sample codes for my CUDA programming book

High-Performance Multiple-Backend Renderer Based on LuisaCompute

Open Data Cube analyses continental scale Earth Observation data through time

Quantum Refinement Module

C++ Mathematical Expression Parsing And Evaluation Library

PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT

A Curious Cumulation of CUDA Cuisine

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:

Notes on Scientific Computing for Biomechanics and Motor Control

A fast (?) random sampling drawing library

Main yt repository

Python package for computing Kerr quasinormal mode frequencies, separation constants, and spherical-spheroidal mixing coefficients

2D/3D simplicial mesh generator interface for Python (Triangle, TetGen, gmsh)

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

Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]

Plugins for bone image analysis

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

A collection of GICP-based fast point cloud registration algorithms

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

Facebook's CUDA extensions.

A domain-specific language and compiler for image processing

DISHTINY: A Platform for Studying Open-Ended Evolutionary Transitions in Individuality

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

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

TensorFlow builds compiled on windows with avx and avx2 extensions

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

Data imputations library to preprocess datasets with missing data