726 Open source projects that are alternatives of or similar to Scikit Cuda

monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture

oneAPI Math Kernel Library (oneMKL) Interfaces

High-Performance Graph Primitives on GPUs

Script to remotely check GPU servers for free GPUs

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)

Library for faster pinned CPU <-> GPU transfer in Pytorch

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

ThunderGBM: Fast GBDTs and Random Forests on GPUs

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

A flexible framework of neural networks for deep learning

CUDA programming in Julia.

OpenCL integration for Python, plus shiny features

Base container for developing C++ and Fortran HPC applications

No description or website provided.

A stream processing framework for high-throughput applications.

Achieve peak performance on x86 CPUs and NVIDIA GPUs

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

an implementation of parallel linear BVH (LBVH) on GPU

High-Performance Multiple-Backend Renderer Based on LuisaCompute

Fork of CUDA GPU memtest 👓

Tuned OpenCL BLAS

The C++ parallel algorithms library.

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

High-performance Bayesian Data Analysis on the GPU in Clojure

H2Oai GPU Edition

Open3D: A Modern Library for 3D Data Processing

Rust wrapper for ArrayFire

DBCSR: Distributed Block Compressed Sparse Row matrix library

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

Fast Neural Machine Translation in C++

Squeeze-and-Excitation Networks

BriefMatch real-time GPU optical flow

This repository consists for gpu bootcamp material for HPC and AI

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

continuous energy monte carlo neutron transport in general geometries on GPUs

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

[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。

GPU Fluid Simulation with Volumetric Rendering

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

A domain-specific language and compiler for image processing

PopSift is an implementation of the SIFT algorithm in CUDA.

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

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.

ArrayFire: a general purpose GPU library.

A fast Clojure Tensor & Deep Learning library

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

Python bindings for ArrayFire: A general purpose GPU library.

NumPy & SciPy for GPU

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

Lighthouse 2 framework for real-time ray tracing

cuDF - GPU DataFrame Library

stdgpu: Efficient STL-like Data Structures on the GPU

Implementation of SYCL for CPUs, AMD GPUs, NVIDIA GPUs

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

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

Robotics with GPU computing

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

ILGPU JIT Compiler for high-performance .Net GPU programs

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