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  • University of Electronic Science and Technology of China
  • Beijing, China & Chengdu, China
  • 07:43 (UTC +08:00)

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sidi762/README.md

Hi there πŸ‘‹ vcnt

I am ...

  • πŸ“š Graduate of the University of Electronic Science and Technology of China (UESTC) and the University of Glasgow (UoG) with a BEng, Honours of the First Class.
  • πŸŽ“ Currently pursuing a Master’s degree in Communication Engineering with a focus on AI and Machine Learning at UESTC.
  • πŸ’» Passionate about computer science and enjoys experimentation in coding.
  • πŸ€– Actively engaged in research focused on SLAM (Simultaneous Localization and Mapping) and AI/ML/DL, with previous experience in deep learning and medical image analysis.
  • ✈️ Enthusiast in aviation and avid user of flight simulators.
  • πŸ›©οΈ A dedicated contributor and aircraft developer for the open-source flight simulator FlightGear.
  • πŸ‘¨β€πŸ’» Maintainer of FlightGear's official Boeing 777 aircraft model.
  • 🌏 Provider of Chinese localization support for FlightGear.
  • πŸ“« How to reach me: [email protected] or [email protected]

⌚ Github Profile Details

sidi762

πŸ‘» Github Stats

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  1. smart-vendor smart-vendor Public

    Smart vending machine with non-contact interaction based on gesture recognition

    C 6 2

  2. followme_e-tron followme_e-tron Public

    A realistic electric supercar for FlightGear based on the Renault Kangoo I Follow me vehicle.

    Nasal 14 5

  3. FGYoke-for-iOS FGYoke-for-iOS Public

    Yoke Emulation for FlightGear

    Swift 1 2

  4. pyblive pyblive Public

    Automatic danmaku music player for bilibili live

    Python

  5. MedicalNet MedicalNet Public

    Forked from Tencent/MedicalNet

    Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and rela…

    Python

  6. Navigation-Module-for-TDPS Navigation-Module-for-TDPS Public

    The navigation module for the smart vehicle project. The hardware used for this code is OpenMV H7 plus.

    Python 1