xiaqudemingzi

xiaqudemingzi's Stars

• Hrener/3D-Action-recognition

  PyTorch implementation of Two-stream CNN for 3D action recognition

  Language:Python14818

• MIC-Laboratory/IEEE-NER-2023-EffiE

  [IEEE NER 2023] EffiE: Efficient Convolutional Neural Network for Real-Time EMG Pattern Recognition System on Edge Devices

  Language:Python8

• ChatGPTNextWeb/ChatGPT-Next-Web

  A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。

  Language:TypeScript73.1k58k

• shadowsocksrr/shadowsocksr-csharp

  Language:C#15.3k3.3k

• zhanganguo/2OIB-for-sEMG-Recognition

  Second-order information bottleneck for sEMG pattern recognition tasks

  Language:Python111

• malele4th/sEMG_DeepLearning

  sEMG-based gesture recognition using deep learnig

  Language:Jupyter Notebook328116

• Emotiv/cortex-example

  Example with Cortex V2/V3 API

  Language:C#188111

• microsoft/MixedRealityToolkit-Unity

  This repository is for the legacy Mixed Reality Toolkit (MRTK) v2. For the latest version of the MRTK please visit https://github.com/MixedRealityToolkit/MixedRealityToolkit-Unity

  Language:C#6k2.1k

• qingehao/LizCubic

  Language:C5112

• peng-zhihui/HoloCubic

  带网络功能的伪全息透明显示桌面站

  Language:C5.9k1.2k

• CopyTranslator/CopyTranslator

  Foreign language reading and translation assistant based on copy and translate.

  Language:TypeScript17k1.9k

• Slamtec/rplidar_sdk

  Open source SDK for Slamtec RPLIDAR series products

  Language:C++408248

• adobe-fonts/source-code-pro

  Monospaced font family for user interface and coding environments

  Language:CSS19.7k1.6k

• t-richards/chemo

  Remove pre-installed junk from Windows 10.

  Language:C#17913

• it-andy-hou/fq

  :earth_americas: :statue_of_liberty: 翻墙软件不完全汇总

  Language:HTML963233

• wargod797/Fault_diagnosis_ballbearing_wavelet

  Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save millions of dollars in emergency maintenance cost. Different techniques are used for fault analysis such as short time Fourier transforms (STFT), Wavelet analysis (WA), cepstrum analysis, Model based analysis, etc. we have doing detecting bearing faults using FFT and by using Wavelet analysis more specifically wavelet Analysis up to two levels of approximations and detail components. The analysis is carried out offline in MATLAB. Diagnosing the faults before in hand can save the millions of dollars of industry and can save the time as well. It has been found that Condition monitoring of rolling element bearings has enabled cost saving of over 50% as compared with the old traditional methods. The most common method of monitoring the condition of rolling element bearing is by using vibration signal analysis. Measure the vibrations of machine recorded by velocity

  Language:MATLAB8920