A prototype of an offline mobile speech recognition system compatible with Huawei NPU
-
Updated
Jun 11, 2019 - Jupyter Notebook
A prototype of an offline mobile speech recognition system compatible with Huawei NPU
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
project design homework
A minipascal parser implemented with Python-PLY
Small Heterogeneous & AI Powered Computing SBC Based on V853
ROS 2 Inference sample for using Rockchip NPU.
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.
FREE TPU V3plus for FPGA is the free version of a commercial AI processor (EEP-TPU) for Deep Learning EDGE Inference
Convert and run scikit-learn MLPs on Rockchip NPU.
L7 R6 : Rockchips Cortex-A55 1.8GHz CPU
An NPU designed using an LLM with a single prompt
hardware design of universal NPU(CNN accelerator) for various convolution neural network
OpenAIA Documentation
Testing the orange pi board based on the rockchip 3588s processor for object detection using the yolo5 neural network
Add a description, image, and links to the npu topic page so that developers can more easily learn about it.
To associate your repository with the npu topic, visit your repo's landing page and select "manage topics."