691 Open source projects that are alternatives of or similar to Jcuda

CUDA integration for Python, plus shiny features

Burstcoin C++ CPU and GPU Miner

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

Build userspace NVMe drivers and storage applications with CUDA support

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Set up CUDA for machine learning (and gaming) on macOS using a NVIDIA eGPU

Build and run Docker containers leveraging NVIDIA GPUs

SDK for GPU accelerated genome assembly and analysis

Examples of C# code compiled to GPU by hybridizer

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

Robotics with GPU computing

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

CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.

BriefMatch real-time GPU optical flow

This repository consists for gpu bootcamp material for HPC and AI

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

Achieve peak performance on x86 CPUs and NVIDIA GPUs

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

GPU Fluid Simulation with Volumetric Rendering

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

No description or website provided.

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.

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

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

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

A collection of GICP-based fast point cloud registration algorithms

ArrayFire: a general purpose GPU library.

CUDA programming in Julia.

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

cuDF - GPU DataFrame Library

Python bindings for ArrayFire: A general purpose GPU library.

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

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

stdgpu: Efficient STL-like Data Structures on the GPU

High-performance Bayesian Data Analysis on the GPU in Clojure

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

ThunderGBM: Fast GBDTs and Random Forests on GPUs

High-Performance Graph Primitives on GPUs

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

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

Python interface to GPU-powered libraries

GraphVite: A General and High-performance Graph Embedding System

The C++ parallel algorithms library.

Cooperative primitives for CUDA C++.

ThunderSVM: A Fast SVM Library on GPUs and CPUs

Deep.Net machine learning framework for F#

A Neural Network Toolkit.

Command line tool for FloydHub - the fastest way to build, train, and deploy deep learning models

Python package for signal processing, with emphasis on iterative methods

CLI tool for texture compression using ASTC, ETC, PVRTC and S3TC in a KTX container.

No Fee Ethash miner for AMD and Nvidia

🎨 Automatic Image Colorization using TensorFlow based on Residual Encoder Network

🧠 🦠 An artificial neural network and API to detect Windows malware, based on Ergo and LIEF.

The Mali GPU library used in Rockchip Platform

Execution primitives for C++

RAPIDS Memory Manager

Web-based and pixels-based collaborative synthesizer

jupyter/ipython experiment containers for GPU and general RAM re-use