Tengine is a lite, high performance, modular inference engine for embedded device
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Updated
Dec 24, 2023 - C++
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.
The Pipeline example based on AXear-Pi (AX620A) , AXera-Pi Pro (AX650N) and AXera-Pi Zero (AX620Q) shows the software development skills of ISP, Image Processing, NPU, Encoding, and Display modules, which is helpful for users to develop their own multimedia applications.
Efficient Inference of Transformer models
Small Heterogeneous & AI Powered Computing SBC Based on V853
FREE TPU V3plus for FPGA is the free version of a commercial AI processor (EEP-TPU) for Deep Learning EDGE Inference
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
YoloV5 NPU for the RK3566/68/88
hardware design of universal NPU(CNN accelerator) for various convolution neural network
Easy usage of Rockchip's NPUs found in RK3588 and similar chips
ROS 2 Inference sample for using Rockchip NPU.
Chisel implementation of Neural Processing Unit for System on the Chip
Convert and run scikit-learn MLPs on Rockchip NPU.
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