Ubuntu for Rockchip RK35XX Devices

anyon_e, a highly integrated, high end, open source laptop. Attempt the impossible.

Supports running FnNAS on Amlogic, Allwinner, and Rockchip devices. Support a311d, s922x, s905x3, s905x2, s912, s905d, s905x, s905w, s905, s905l, rk3588, rk3568, rk3399, rk3328, h6, etc.

FFmpeg with async and zero-copy Rockchip MPP & RGA support

EDK2 UEFI firmware for Rockchip RK3588 platforms

an edge-real-time anchor-free object detector with decent performance

Useful resources for developing with the RK3588. :rocket:

Ollama alternative for Rockchip NPU: An efficient solution for running AI and Deep learning models on Rockchip devices with optimized NPU support ( rkllm )

Customized version of the Linux kernel maintained by Armbian team to support Rockchip SoCs

Easy installation and usage of Rockchip's NPUs found in RK3588 and similar SoCs

Rockchip Userspace Mali GPU Driver and Debian Packages (Mirror of https://github.com/JeffyCN/mirrors/tree/libmali) (See Also: https://github.com/tsukumijima/mpp-rockchip / https://github.com/tsukumijima/librga-rockchip)

This source code builds openwrt for Rockchip Soc from upstream source code https://github.com/coolsnowwolf/lede

Windows on Arm drivers for RK35xx platforms.

This repository is RK3576s RK3576 RK3588 Tablet Development Board Documents from HYY Technology Co.,Ltd.

Minimal NixOS running on RK3588/RK3588s based SBC(Orange Pi 5 Plus, Orange Pi 5, Rock 5A, etc)

Linux kernel for Khadas VIMs & Edges

A high performance, high expansion, easy to use framework for AI application. 为AI应用的开发者提供一套统一的高性能、易用的编程框架，快速基于AI全栈服务、开发跨端边云的AI行业应用，支持GPU，NPU加速。

YoloV5 NPU for the RK3566/68/88

Streaming TTS based on Piper with optional RK3588 NPU support

YOLOv5 for RK3588

YoloV8 NPU for the RK3566/68/88

将LLM 模型部署到 Rockchip Rk3588芯片中，在开发板上使用NPU进行推理

Radxa SoM carrier board design files + agentic hardware-db

Run your yolov7 object detection with Rockchip NPU platforms (RK3566, RK3568, RK3588, RK3588S, RV1103, RV1106, RK3562).

Rock5B/RK3588工具箱

LightStereo算法的c++实现，包括TensorRT、RKNN、OnnxRuntime

Userspace interface to Rockchip RGA 2D accelerator and Debian Packages (Mirror of https://github.com/JeffyCN/mirrors/tree/linux-rga-multi) (See Also: https://github.com/tsukumijima/mpp-rockchip / https://github.com/tsukumijima/libmali-rockchip)

Automated script to convert Huggingface and GGUF models to rkllm format for running on Rockchip NPU

YOLO multi-threaded and hardware-accelerated inference framework based on RKNN

Allows access via HTTP to LLM running on RK3588 NPU. Returns JSON response.