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Master's student in computer engineering, University of Parma

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Claudio's Projects

cdcgan icon cdcgan

During my studies I had a lot of trouble finding a cDCGAN architecture that worked as I expected, so I decided to write my own version, finding an alternative way to condition it.

cwgan-gp icon cwgan-gp

My version of cWGAN-gp. Simply my cDCGAN-based but using the Wasserstein Loss and gradient penalty.

esp8266-ir-control-blynk icon esp8266-ir-control-blynk

Using this technique it's possible to control in a domotic way many objects that are not natively domotic, without any hardware modification.

gan-and-meta-learning icon gan-and-meta-learning

We've applied the Reptile algorithm to our GAN architectures. The peculiarity is the exclusion of G from meta-learning. Surprisingly, everything worked and the research was published in a paper. More details reported on the paper "Towards Latent Space Optimization of GANs Using Meta-Learning" and the thesis (Italian).

money-master icon money-master

IOS app for examining mobile systems. The app keeps track of the user's expenses. Use of database for user profiles, coredata were not used.

orunge-tracker icon orunge-tracker

The app counts the kilometers traveled and graphically draws the route on the map (Google Maps Api). Use of databases for user profiles. I have particularly cared for the graphic side. The app has been tested up to Android Oreo.

product-master icon product-master

Simple database management using php and HTML. Not very useful, hastily written, just a project for learning databases.

pytorch-siamese-net-meta-learning icon pytorch-siamese-net-meta-learning

This repository implements a Siamese Network with Triplet Loss, enhanced by the Reptile metalearning algorithm. Leveraging the ResNet architecture for feature extraction, the model is trained to learn a versatile representation space for image similarity tasks.

pytorch-siamese-net-with-triplet-loss icon pytorch-siamese-net-with-triplet-loss

This repository implements a Siamese Network with Triplet Loss for image similarity tasks, leveraging the powerful ResNet architecture for feature extraction. The model is trained to learn a robust representation space where similar images are close, and dissimilar ones are distant.

real-time-clockdriven icon real-time-clockdriven

Example of clockdriven scheduling library in C++ that allows to execute a set of periodic tasks and an aperiodic task. An assignment for "Operating and Real-time systems" course.

sort-socket-stream icon sort-socket-stream

Concurrent server example in c. An assignment for "Operating and Real-time systems" course

sound-master icon sound-master

Simple database management via Java and Hibernate. Software engineering project

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