Open deep learning compiler stack for cpu, gpu and specialized accelerators
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Updated
Oct 6, 2024 - Python
Open deep learning compiler stack for cpu, gpu and specialized accelerators
MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
🔥🔥🔥AidLearning is a powerful AIOT development platform, AidLearning builds a linux env supporting GUI, deep learning and visual IDE on Android...Now Aid supports CPU+GPU+NPU for inference with high performance acceleration...Linux on Android or HarmonyOS
LWJGL is a Java library that enables cross-platform access to popular native APIs useful in the development of graphics (OpenGL, Vulkan, bgfx), audio (OpenAL, Opus), parallel computing (OpenCL, CUDA) and XR (OpenVR, LibOVR, OpenXR) applications.
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.
ArrayFire: a general purpose GPU library.
The high-speed OpenGL, OpenCL, OpenAL, OpenXR, GLFW, SDL, Vulkan, Assimp, WebGPU, and DirectX bindings library your mother warned you about.
An OpenCL-based FPGA Accelerator for Convolutional Neural Networks
A C++ GPU Computing Library for OpenCL
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL. Free for non-commercial use.
OpenCL integration for Python, plus shiny features
Monero AMD (OpenCL) miner
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