1147 Open source projects that are alternatives of or similar to Cekirdekler

Vulkan compute for people

stdgpu: Efficient STL-like Data Structures on the GPU

Implementation of SYCL for CPUs, AMD GPUs, NVIDIA GPUs

Fast Clojure Matrix Library

High-performance Bayesian Data Analysis on the GPU in Clojure

The write-once-run-anywhere GPGPU library for Rust

An extensible HPC framework for CUDA, OpenCL and native CPU.

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

GPGPU Javascript library 🐸

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

💥💻💥 A data-parallel functional programming language

ILGPU JIT Compiler for high-performance .Net GPU programs

Concurrent CPU-GPU Programming using Task Models

Neural networks library for machine learning on PHP

Intel® Graphics Compute Runtime for oneAPI Level Zero and OpenCL™ Driver

The New Official Aparapi: a framework for executing native Java and Scala code on the GPU.

Python bindings for ArrayFire: A general purpose GPU library.

ArrayFire: a general purpose GPU library.

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

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

Rust wrapper for ArrayFire

John the Ripper jumbo - advanced offline password cracker, which supports hundreds of hash and cipher types, and runs on many operating systems, CPUs, GPUs, and even some FPGAs

GPU Mersenne primality test.

R interface to use GPU's

Automatic parallelization of Python/NumPy, C, and C++ codes on Linux and MacOSX

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

Algorithms implemented in CUDA + resources about GPGPU

Deep.Net machine learning framework for F#

Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration

CUDAfy .NET allows easy development of high performance GPGPU applications completely from the .NET. It's developed in C#.

A C++ GPU Computing Library for OpenCL

CUDA integration for Python, plus shiny features

GLib-based framework for GPU-based data processing

A domain-specific language and compiler for image processing

The VerCors verification toolset for verifying parallel and concurrent software

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

ClojureCL is a Clojure library for parallel computations with OpenCL.

Blender Integration for LuxCore

qihoo360 xlearning with GPU support; AI on Hadoop

List of Deep Learning Cloud Providers

SYCL-DNN is a library implementing neural network algorithms written using SYCL

General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases.

OpenCL-backed GPU Arrays

Generic system-wide modern C++ for heterogeneous platforms with SYCL from Khronos Group

Fork of CUDA GPU memtest 👓

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

Dead Simple OpenCL

Particle-in-Cell Simulations for the Exascale Era ✨

Tuned OpenCL BLAS

LuxCore source repository

AutoDock for GPUs and other accelerators

This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.

Build NVIDIA® CUDA™ code for OpenCL™ 1.2 devices

OpenCL 1.2 implementation for Tensorflow

Digit recognition with Convolutional Neural Networks in WebGL

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

OpenCL integration for Python, plus shiny features

Implementation of a few sorting algorithms in OpenCL

18.337 - Parallel Computing and Scientific Machine Learning

A GPU accelerated image and video processing framework built on Metal.