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@airhive @aeapolimi @poliduckie @Learning2Control @quicktri @suggestmeabook

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giuliovv/README.md


I'm a Data Engineer at Amazon and a Control Systems Engineering MSc student at Politecnico di Milano.

 

Giulio's github stats

 

Projects

  • Tfest : Estimate a transfer function from its frequency response
  • Duckietown : An autonomous driving competition based on reinforcement learning, AI Driving Olympics 2021 finalists! Also present at NeurIPS 2021
    • DuckRace : Learning MPC for autonomous driving that maximizes the car performances
  • AEA : The first Automation and Robotics Engineering Association of Politecnico di Milano
    • AEA website : AEA static, ssr Website, built with Javascript and Gatsby
  • Airhive : Pollution spreading spatial prediction, NASA Space Apps 2018 runner-ups
    • Airhive App : A flutter app for the project, built for both Android and iOS
    • Airhive Messages : Python script, Voronoi to quickly find users near a target location
    • Airhive ML : Study of pollution spreading using data analysis and RNNs
  • Scout Odometry : Odometry calculation of a robot with ROS and C++, Kalman Filter to do sensor fusion with a LIDAR
  • Trajectory Planning : Optimal trajectory planning for a car in a race circuit
  • Hype : Playing with solidity and the blockchain
  • Neural Networks Competition : CNNs and RNNs competition, finished in top 5%!

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  1. tfest tfest Public

    Estimate transfer function from its frequency response

    Python 14 1

  2. aeapolimi/aeapolimi.github.io aeapolimi/aeapolimi.github.io Public

    Automation Engineering Association website

    JavaScript 7 1

  3. cryptotrading cryptotrading Public

    Super fast technical analysis tools, trading gym environment and API wrapper for bitstamp

    Python 1 1

  4. scout_odometry scout_odometry Public

    Odometry read of Agilex Scout

    C++ 1

  5. airhive/airhive_app airhive/airhive_app Public

    Airhive flutter mobile app

    Dart 2

  6. airhive/AirHive airhive/AirHive Public

    NASA Space Apps 2018 2nd place, what if we had all the air pollution data we need?

    Jupyter Notebook