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

Efficient Inference of Transformer models

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

YoloV5 NPU for the RK3566/68/88

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

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

Simplified AI runtime integration for mobile app development

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

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

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

YoloV8 NPU for the RK3566/68/88

Kotlin bindings for Edgerunner

EmbeddedLLM: API server for Embedded Device Deployment. Currently support CUDA/OpenVINO/IpexLLM/DirectML/CPU

NPUsim: Full-system, Cycle-accurate, Value-aware NPU Simulator

Small Heterogeneous & AI Powered Computing SBC Based on V853