256 Open source projects that are alternatives of or similar to dlprimitives

🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

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

Optimizing Mobile Deep Learning on ARM GPU with TVM

Generating OpenCL code using Swift and Grand Central Dispatch's OpenCL integration with Xcode. A direct reimplementation of the source code from the book 'OpenCL in Action' by Matthew Scarpino

Memory consistency modelling using Alloy

No description or website provided.

Partial implementation of NVIDIA® cuDNN API for Coriander, OpenCL 1.2

A front-end to glxinfo, vulkaninfo, clinfo and es2_info - Linux

Amplifier allows .NET developers to easily run complex applications with intensive mathematical computation on Intel CPU/GPU, NVIDIA, AMD without writing any additional C kernel code. Write your function in .NET and Amplifier will take care of running it on your favorite hardware.

Convolutional (Patch) Networks for Semantic Segmentation

A Collection of Articles and other OpenCL Papers

OpenCL HLS based CNN Accelerator on Intel DE10 Nano FPGA.

Simple and fast C++ image processing library with focus on heterogeneous systems

Learning and practice of high performance computing (CUDA, Vulkan, OpenCL, OpenMP, TBB, SSE/AVX, NEON, MPI, coroutines, etc. )

Collective Knowledge workflow for Caffe to automate installation across diverse platforms and to collaboratively evaluate and optimize Caffe-based workloads across diverse hardware, software and data sets (compilers, libraries, tools, models, inputs):

Kernel Tuning Toolkit

An Open Source Deep Learning Inference Engine Based on FPGA

A docker-based starter kit for machine learning via jupyter notebooks. Designed for those who just want a runtime environment and get on with machine learning. Docker tags:

A CUDA implementation of the Tsetlin Machine based on bitwise operators

Compiler for the VC4CL OpenCL implementation

Automation tool, visit our discord channel if you have anything to ask

AnyDSL Runtime Library

Amplifier allows .NET developers to easily run complex applications with intensive mathematical computation on Intel CPU/GPU, NVIDIA, AMD without writing any additional C kernel code. Write your function in .NET and Amplifier will take care of running it on your favorite hardware.

Folding@home GPU benchmark

WIP libraries for C++ for OpenCL Kernel Language published in releases of OpenCL-Docs

PetIBM - toolbox and applications of the immersed-boundary method on distributed-memory architectures

SpvGenTwo is a SPIR-V building and parsing library written in plain C++17 without any dependencies. No STL or other 3rd-Party library needed.

Collection of samples and utilities for using ComputeCpp, Codeplay's SYCL implementation

RandomX OpenCL implementation

A C++ GPU Computing Library for OpenCL

A framework for Smoothed Particle Hydrodynamics in Python

💥❄️🔨 VFX Fractal Toolkit

Polymorphic helper functions & geometry ops for Houdini VEX / OpenCL

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

Implementation of a few sorting algorithms in OpenCL

An implementation of MTCNN Face detector using OpenCV's DNN module

An OpenCL backend for TensorStream

MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.

oneAPI Deep Neural Network Library (oneDNN)

Learn OpenCL step by step.

CHAI and RAJA provide an excellent base on which to build portable codes. CARE expands that functionality, adding new features such as loop fusion capability and a portable interface for many numerical algorithms. It provides all the basics for anyone wanting to write portable code.

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

Inviwo - Interactive Visualization Workshop

OpenCL Plugin for Unreal Engine 4

Massively Parallel Huffman Decoding on GPUs

A heterogeneous and fully parallel stereo matching algorithm for depth estimation, implementing a local adaptive support weight (ADSW) Guided Image Filter (GIF) cost aggregation stage. Developed in both C++ and OpenCL.

Scientific computing with N-dimensional arrays

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

Simple OpenCL Samples that Build with Khronos Headers and Libs

Portable HPC Containers (C++)

Intercept Layer for Debugging and Analyzing OpenCL Applications

OpenCL integration for Python, plus shiny features

An OpenCL-based FPGA Accelerator for Convolutional Neural Networks

Bandicoot: GPU accelerator add-on for the Armadillo C++ linear algebra library

An interactive OpenCL wavefront path tracer

Print all known information about all available OpenCL platforms and devices in the system

OpenCL 1.2 implementation for Tensorflow

The Hacker's Machine Learning Engine

CLBLAS integration for Julia

The Open Toolkit library is a fast, low-level C# wrapper for OpenGL, OpenAL & OpenCL. It also includes windowing, mouse, keyboard and joystick input and a robust and fast math library, giving you everything you need to write your own renderer or game engine. OpenTK can be used standalone or inside a GUI on Windows, Linux, Mac.