Hardware Acceleration
Showing 36 of 44 projects
A C/C++ library for efficient, cross-platform LLM inference with extensive hardware support and quantization.
A modern mobile touch slider with hardware-accelerated transitions for mobile websites, web apps, and native/hybrid apps.
A modern, mobile-focused touch slider with hardware-accelerated transitions for websites and hybrid apps.
A cross-platform mobile video player for Android and iOS based on FFmpeg, supporting hardware acceleration.
A cross-platform, high-performance accelerator for machine learning inference and training with ONNX models.
A hardware-accelerated JavaScript library for training and deploying machine learning models in the browser and Node.js.
A performant CSS library for smooth transitions and animations targeting 60fps on mobile web.
A collection of libraries to optimize AI model performance through inference, infrastructure, and fine-tuning techniques.
Go language bindings for OpenCV 4, enabling computer vision applications with support for CUDA, DNN, and OpenVINO.
A JavaScript animation library focused on performance and flexibility, delivering 60 FPS animations under 3 KB.
An open-source iOS SDK for RTMP live streaming with hardware encoding, beauty filters, and network optimization.
A responsive CSS animation framework for creating sliders, presentations, banners, and other step-based applications.
Official repository for WebGL specifications and conformance test suite, enabling hardware-accelerated 3D graphics in web browsers.
An efficient video and audio loader for deep learning with hardware-accelerated decoding and smart shuffling.
An open-source framework that enables Python programming for Xilinx Zynq APSoCs to design high-performance embedded systems.
A Vulkan-based source port of id Software's Quake, offering enhanced graphics and performance over QuakeSpasm.
A modern, high-performance drop-in replacement for the zlib compression library, optimized for next-generation hardware.
A lightweight Flutter Engine embedder for Raspberry Pi and Linux embedded systems that runs without X11 or Wayland.
OpenGL bindings for React Native to implement complex visual effects over images and components.
A 1 MB text editor written in V with hardware-accelerated rendering, compiling in under a second.
A dataflow compiler for quantized neural network inference on FPGAs, generating highly efficient custom accelerators.
A modernized source port of id Software's Quake 2 v3.21 with Vulkan support, mission packs, and cross-platform compatibility.
A scalable, hardware-accelerated neuroevolution toolkit built on JAX for parallel training across TPUs/GPUs.
A JAX-based library providing accelerated reinforcement learning environments with full compatibility to the classic gym API.
A diverse suite of scalable reinforcement learning environments written in JAX for hardware-accelerated research.
A self-hosted web platform for distributed video encoding using HandBrake across multiple headless devices.
A comprehensive, high-performance library implementing 30+ Evolution Strategies in JAX for scalable optimization on modern hardware.
Go bindings for FFmpeg and libav with an idiomatic API, full test coverage, and mirrored examples.
A lightweight, portable pure C99 ONNX inference engine for embedded devices with hardware acceleration support.
Run ONNX transformer pipelines (like Hugging Face) natively in Go for inference and fine-tuning, with support for CPU, GPU, and TPU.
A Flutter plugin providing a VLC-powered video player for iOS and Android with advanced playback features.
A quantization extension for Keras that provides drop-in replacement layers for creating quantized deep learning models in TensorFlow.
A cross-platform, high-performance UI toolkit for building hardware-accelerated desktop applications with modern C++20.
A Rust reimplementation of the classic Vangers game with modern hardware-accelerated graphics.
A fast, header-only C/C++ library for counting 1 bits in arrays using optimized CPU instructions like POPCNT, AVX2, AVX512, NEON, and SVE.
A hardware-accelerated Python library for running Quality-Diversity and neuroevolution algorithms in minutes instead of days.
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