550 Open source projects that are alternatives of or similar to Clarrays.jl

Pure C# machine learning framework

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

Rust wrapper for ArrayFire

Implementation of a few sorting algorithms in OpenCL

OpenCL integration for Python, plus shiny features

Multi-device OpenCL kernel load balancer and pipeliner API for C#. Uses shared-distributed memory model to keep GPUs updated fast while using same kernel on all devices(for simplicity).

Fast Clojure Matrix Library

High-performance Bayesian Data Analysis on the GPU in Clojure

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

ArrayFire: a general purpose GPU library.

Neural networks library for machine learning on PHP

OpenCL 1.2 implementation for Tensorflow

Scientific computing with N-dimensional arrays

Implementation of SYCL for CPUs, AMD GPUs, NVIDIA GPUs

Python bindings for ArrayFire: A general purpose GPU library.

💥💻💥 A data-parallel functional programming language

Open deep learning compiler stack for cpu, gpu and specialized accelerators

ILGPU JIT Compiler for high-performance .Net GPU programs

A GPU benchmark tool for evaluating GPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL)

An open-source library of algorithms to analyse time series in GPU and CPU.

A Neural Network Toolkit.

A domain-specific language and compiler for image processing

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

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

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

A C++ GPU Computing Library for OpenCL

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.

Tuned OpenCL BLAS

Build NVIDIA® CUDA™ code for OpenCL™ 1.2 devices

Alacritty is a modern terminal emulator that comes with sensible defaults, but allows for extensive configuration. By integrating with other applications, rather than reimplementing their functionality, it manages to provide a flexible set of features with high performance. The supported platforms currently consist of BSD, Linux, macOS and Windows.

Paperspace API for python

Automatic GPU, TPU, FPGA, Xeon Phi, Multithreaded, Distributed, etc. offloading for scientific machine learning (SciML) and differential equations

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

Baking spline deformation to a texture then applying it to a mesh via a shader.

Physically based renderer and simulation engine for real-time applications.

Cooperative primitives for CUDA C++.

Run Tensorflow and Keras with GPU support on Kubernetes

openCL-accelerated python implementation of the Wave Function Collapse procgen algorithm

GraphVite: A General and High-performance Graph Embedding System

The little simulator that could.

Concurrent CPU-GPU Programming using Task Models

Python bindings for pyNVML and psutil library over network

A simple dashboard for NVIDIA GPU

Time series forecasting with PyTorch

A Collection of Articles and other OpenCL Papers

A high speed C++17 Vulkan game engine

GPU Javascript Library for Machine Learning

A .NET 5 library to run C# code in parallel on the GPU through DX12 and dynamically generated HLSL compute shaders, with the goal of making GPU computing easy to use for all .NET developers! 🚀

Running Mask-RCNN on Dask with PyTorch

A vector field explorer

Tests and benchmarks for cudnn (and in the future, other nvidia libraries)

Simple OpenCL Samples that Build with Khronos Headers and Libs

Embed a JavaScript/WebGL application on a Nvidia Jetson TX2 and stream the results through websockets. It does not rely on CUDA/Jetpack. HDMI touchscreen, virtual keyboard, GPIO control, wifi config are included.

AI-Powered video interpolater (eg. 30fps -> 60fps) for Vulkan devices. Based on dain-ncnn-vulkan and ffmpeg

The style transfer android example

ADDA - light scattering simulator based on the discrete dipole approximation

Window-Based Hybrid CPU/GPU Stream Processing Engine

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

a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.