There are 17 repositories under hardware-acceleration topic.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Free open-source non-linear video editor
Effortless animation between DOM changes (eg. list reordering) using the FLIP technique.
Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
id Software's Quake 2 v3.21 with mission packs and Vulkan support (Windows, Linux, macOS, FreeBSD, Raspberry Pi 4)
ARCHIVED: Modern Hypervisor for the Cloud. See https://github.com/cloud-hypervisor/cloud-hypervisor instead
Vulkan DOOM 3 port based on DOOM 3 BFG Edition
Qt overclocking tool for GNU/Linux
🎞 Hardware-accelerated video transcoding using Android MediaCodec APIs. Supports cropping, concatenation, clipping, audio processing, video speed and much more.
A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.
Algebraic enhancements for GEMM & AI accelerators
Dockerized android emulator
Cross-platform C++20 GUI framework featuring MVVM architecture, reactive capabilities, and scalable, accelerated GPU rendering.
Hashed Lookup Table based Matrix Multiplication (halutmatmul) - Stella Nera accelerator
Awesome Mojo🔥
A robot-specific processing unit. Contains CPUs, FPGAs and GPUs and maps ROS efficiently to them for best performance.
A lightweight memory allocator for hardware-accelerated machine learning
HW Architecture-Mapping Design Space Exploration Framework for Deep Learning Accelerators
STONNE: A Simulation Tool for Neural Networks Engines
OPTIGA™ Trust M Host Library for C
Experiment in creating a custom react renderer using an offscreen webgl canvas on top of Skia CanvasKit
High-performance, optimized pre-trained template AI application pipelines for systems using Hailo devices
NVIDIA Isaac Transport for ROS package for hardware-acceleration friendly movement of messages
Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.
The Task Parallel System Composer (TaPaSCo)