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densemann_pytorch

A memory-efficient implementation of DenseNets

kmapgenerator

JavaScript web application that I coded for my year project during the 2016-2017 year. It allows students to train themselves in logic circuit synthesis, specifically in the solving of Karnaugh Maps, and facilitates the creation of new exercise sheets by teachers. The application allows the user to generate their own exercises by building a custom Karnaugh Map of up to 5 logic variables (with an option for “don’t care” symbols), and dynamically displays the exercise’s solution in real-time, by means of an interactive logic function, and an exportable string of LaTeX (askmaps) code.

masterthesis-incrementaldeeplearning

Study of Deep Learning algorithms: incremental solutions. Master Thesis presented for the diploma of Computer Engineer (Université Libre de Bruxelles, 2017-2018).

phenotype-genotype_graph_characterization

self-constructing_densenet

A modification of Illarion Khlestov's DenseNets. Self-constructing neural networks for images handling.

superduperbomberman

This project was developped together for the Ecole polytechnique de Bruxelles' Object Oriented Programming course (INFO-H200) with Gaetano RIPOLLINO and Robin CHARLIER. The aim of the project was to mimic the gameplay of the Bomberman game series by Hudson Soft (now part of Konami Corp.) while showcasing some of the main characteristics of Object Oriented Programming.