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Computer Engineering Master's Degree Student at the University of Padua (๐Ÿ‡ฎ๐Ÿ‡น)



piero24 stackoverflow


  • ๐Ÿฆพ Iโ€™m currently learning Ros and exploring robotics

  • ๐Ÿค– I'm interested in Machine Learning and Deep Learning

  • ๐Ÿ“š Collaboration is the Key for building great things!

  • ๐Ÿ‘จ๐Ÿฝโ€๐Ÿ’ป All of my projects are available at @Piero24

  • ๐Ÿ’ฌ Let's talk about Data Structures and Algorithms ๐Ÿ˜†










๐Ÿ› ๏ธ Other Project I have worked on ๐Ÿ› ๏ธ


๐Ÿ™ HSNet+: Enhancing Polyp Segmentation with Region-wise Loss: (๐Ÿ”—Code | ๐Ÿ•น๏ธDemo | ๐Ÿ“„Paper)

  • Combines the advantages of Transformer networks and CNN, along with regional loss for polyp segmentation
  • Developed with: Python, PyTorch, OpenCV, Numpy

๐Ÿ“ Food Recognition and Leftover Estimation: (๐Ÿ”—Code | ๐Ÿ•น๏ธDemo | ๐Ÿ“„Paper)

  • Food recognition and leftover estimation with 95% more accurate performance than the previous version
  • Developed with: C++, Cmake, OpenCV

โœˆ๏ธ BookFlights - Telegram bot for flight offers: (๐Ÿ”—Code | ๐Ÿ•น๏ธDemo)

  • A telegram bot for each Italian region to see flight offers departing from airports in that region
  • Developed with: Python, SQLite3, pyTelegramBotAPI, Airline companies API

๐Ÿ“ AutoLoss-Zero: Objective functions in training neural networks: (๐Ÿ“„Paper)

  • AutoML method, for the detection of colon polyps
  • Developed with: Matlab, Deep Learning





๐Ÿ“‰ Github stats ๐Ÿ“ˆ


piero24 piero24

piero24 piero24




๐Ÿงช Some technologies that I have used ๐Ÿงช



Software Tools Language






๐Ÿ“ฌ You can find me here ๐Ÿ“ฌ


ย โ€ข ย โ€ข ย โ€ข




example



โ‡ง




Andrea Pietrobon's Projects

amzurlgen icon amzurlgen

Bot to generate useful links to increase the ranking of products sold on Amazon

auto_mail icon auto_mail

This python 3 script allows you to send an email in html format to multiple users without having to do the job manually. It also replaces the user name in the file to personalize the email.

lossfuncition-4sn icon lossfuncition-4sn

This research will show an innovative method useful in the segmentation of polyps during the screening phases of colonoscopies. To do this we have adopted a new approach which consists in merging the hybrid semantic network (HSNet) architecture model with the Reagion-wise(RW) as a loss function for the backpropagation process.

plugnplaymac icon plugnplaymac

A script to automate tasks when connect a device to your macbook

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