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Name: Julien Brandoit
Type: User
Name: Julien Brandoit
Type: User
This notebook showcases my attempt to code various autoencoder architectures using PyTorch. It includes linear, convolutional linear, non-linear convolutional, and MLP autoencoders on the MNIST dataset. The goal is to enhance my PyTorch skills and deepen my understanding of key deep learning concepts.
This project automates brain lesion analysis in MRI images for multiple sclerosis patients, enhancing efficiency and standardization in identifying lesion characteristics like volume, number, and tissue features. It is part of the "Medical Imaging" course (GBIO0008) at ULiège (2023-2024), taught by Professor Christophe Phillips.
As part of the info8010 - DEEP-LEARNING course taught by Gilles Louppe at the University of Liège, we built a series of transformers for generating music in MIDI format as a personal group project (3 students). We provide here the different codes and also the results we were able to obtain.
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