Enrico Vezzali's repositories
Perona-Malik-Diffusion
MATLAB implementation of the Perona-Malik Diffusion (anisotropic diffusion). The algorithm is designed to denoise images while keeping edges intact. Both explicit and semi-implicit implementations can be found in the repository
FOOT-Data-Acquisition-System
Bachelor Thesis Project aimed at developing the VHDL part of a Data Acquisition System. The system was designed to be used in the FOOT (FragmentatiOn Of Target) experiment. The FOOT experiment aims to provide precise nuclear cross-section measurements for two different fields: hadrontherapy and radio-protection space
Denoising-Autoencoder-MNIST
Example of a denoising autoencoder trained on the MNIST dataset using PyTorch.
Fashion-MNIST-GAN
GAN trained to generate Fashion MNIST images
GTSRB-Classification
Training a Convolutional Neural Network to perform multi-class classification on the German Traffic Sign Recognition Benchmark
BarBeR
The repository contains multiple algorithms for 1D and 2D barcode localization proposed in different papers in the past years. The repository contains the tools to measure the performance of those algorithms
GANime
CGAN to generate anime-like faces
Simple-RL-Example
The repository contain a simple example of Black-Box function approximation using Reinforcement Learning. The technique used is based on the algorithm of Deep Deterministic Policy Gradient, but for this application the algorithm can be simplified since there are no future states