zhenyulincs

CNN-HD-sEMG-Classifier

This is an implementation of gesture recognition using a light weight convolutional neural network (CNN) - MobilenetV2. The recognition is based on high-density surface electromyography (HD-sEMG) signals from two datasets: CSL HD-sEMG and ICE Lab HD-sEMG.

CNN-Pruning-Engine

ExoGlovesCVFusion

On-Device-Computer-Vsion-CNN

Efficient Deployment Of Deep Learning Model On Cortex-M Based Microcontrollers Using Deep Compression

415-filesystem

blogProject

CSC210-helper-java-class

This helper class provide the Scanner input with validation and get array index.

FoodChoose

DEMO

mobilenetv2-SSD-COCO

New-Student-Center

zhenyulincs/415-filesystem

zhenyulincs/blogProject

zhenyulincs/mobilenetv2-SSD-COCO

zhenyulincs/New-Student-Center

zhenyulincs/CSC210-helper-java-class

This helper class provide the Scanner input with validation and get array index.

zhenyulincs/FoodChoose

DEMO

zhenyulincs/graduation

This is graduation project

zhenyulincs/halo-comment

💬 Halo default comment component.

zhenyulincs/live_data_streaming

zhenyulincs/MakePassword

Website

zhenyulincs/mywebsite

This is a website talks about myself

zhenyulincs/News-Project

This project is for SFSCP 2021. San Francisco Summer Challenge Program. This website collects news data from Chinese websites, American websites, Nepal websites, and other countries. Then we put the news that reports similar topics side by side compare. The readers are able to get the information variously.

zhenyulincs/onnx-tensorflow

Tensorflow Backend for ONNX

zhenyulincs/Portfolio-Website

zhenyulincs/python_bilibili

zhenyulincs/RemoteMonitor

zhenyulincs/SaveTabs

zhenyulincs/snake-game

First Java game program

zhenyulincs/Sony-Spresense-Arduino-TFMicro

zhenyulincs/tflite-micro-spresense-examples

TensorFlow Lite Micro for Spresense

zhenyulincs/tinyengine

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory