Tengine is a lite, high performance, modular inference engine for embedded device

Free TPU for FPGA with compiler supporting Pytorch/Caffe/Darknet/NCNN. An AI processor for using Xilinx FPGA to solve image classification, detection, and segmentation problem.

Samples code for world class Artificial Intelligence SoCs for computer vision applications.

Efficient Inference of Transformer models

TinyVision - A Tiny Linux Board / IPC / Server / Router / And so on...

C/C++ development kit for Sipeed Maix ecosystem boards

FREE TPU V3plus for FPGA is the free version of a commercial AI processor (EEP-TPU) for Deep Learning EDGE Inference

Small Heterogeneous & AI Powered Computing SBC Based on V853

ONNXim is a fast cycle-level simulator that can model multi-core NPUs for DNN inference

YoloV5 NPU for the RK3566/68/88

Advanced driver-assistance system with Google Coral Edge TPU Dev Board / USB Accelerator, Intel Movidius NCS (neural compute stick), Myriad 2/X VPU, Gyrfalcon 2801 Neural Accelerator, NVIDIA Jetson Nano and Khadas VIM3

The repository provides docs & api & tutorials & FAQ and all things like that.

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

hardware design of universal NPU(CNN accelerator) for various convolution neural network

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

YoloV8 NPU for the RK3566/68/88

Easier usage of LLMs in Rockchip's NPU on SBCs like Orange Pi 5 and Radxa Rock 5 series

Web chat front end for rk3588_npu_llm_server / RK3588 LLM chat interface

Rock Pi 5 image with Ubuntu 22, OpenCV, deep learning frameworks and NPU drivers

Simplified AI runtime integration for mobile app development