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

An open-source project for Windows developers to learn how to add AI with local models and APIs to Windows apps.

Efficient Inference of Transformer models

An MLIR-based toolchain for AMD AI Engine-enabled devices.

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.

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

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

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

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

LLM SDK for OnnxRuntime GenAI (OGA)

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

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

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

High-speed and easy-use LLM serving framework for local deployment

YoloV5 NPU for the RK3566/68/88

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

Simplified AI runtime integration for mobile app development

YoloV8 NPU for the RK3566/68/88

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