Mattia-Colbertaldo

AntColonySystem-TSP

Ant Colony System (ACS) algorithm to solve the Traveling Salesman Problem (TSP)

CNN-CIFAR-10

Convolutional Neural Network for image classification using the CIFAR-10 dataset.

Distributed-Snapshot

Implementation in Java of a library that offers the capability of storing a distributed snapshot on disk.

dopamine_restart

Modifying dopamine applying PrimacyRL

Genetic-Algorithms

Genetic Algorithm to find minima in Dejong Functions

LSTM-Language-Model

Language model from scratch using Long Short-Term Memory (LSTM) networks with Pytorch

Nbody

This repository contains a versatile N-body simulation program for simulating interactions between particles under different conditions.

PhyloML

The main purpose of this thesis work is to substitute the slow Maximum Likelihood Estimation (MLE) methods traditionally used to infer parameters with ML methods. Additionally, the goal is to create a model predictor that, given a phylogenetic tree, can automatically guess the model and infer its parameters.

PrimacyRL

Reset the last layer for exploration in RL.

Prion-disease

Implementation of a simulation of Prion spreading inside a human brain mesh using Gmsh, Deal.II Library and Paraview for the visualization of the results

Mattia-Colbertaldo/Nbody

This repository contains a versatile N-body simulation program for simulating interactions between particles under different conditions.

Mattia-Colbertaldo/AntColonySystem-TSP

Ant Colony System (ACS) algorithm to solve the Traveling Salesman Problem (TSP)

Mattia-Colbertaldo/CNN-CIFAR-10

Convolutional Neural Network for image classification using the CIFAR-10 dataset.

Mattia-Colbertaldo/Distributed-Snapshot

Implementation in Java of a library that offers the capability of storing a distributed snapshot on disk.

Mattia-Colbertaldo/dopamine_restart

Modifying dopamine applying PrimacyRL

Mattia-Colbertaldo/Genetic-Algorithms

Genetic Algorithm to find minima in Dejong Functions

Mattia-Colbertaldo/LSTM-Language-Model

Language model from scratch using Long Short-Term Memory (LSTM) networks with Pytorch

Mattia-Colbertaldo/PhyloML

The main purpose of this thesis work is to substitute the slow Maximum Likelihood Estimation (MLE) methods traditionally used to infer parameters with ML methods. Additionally, the goal is to create a model predictor that, given a phylogenetic tree, can automatically guess the model and infer its parameters.

Mattia-Colbertaldo/PrimacyRL

Reset the last layer for exploration in RL.

Mattia-Colbertaldo/Prion-disease

Implementation of a simulation of Prion spreading inside a human brain mesh using Gmsh, Deal.II Library and Paraview for the visualization of the results

Mattia-Colbertaldo/Eryantis

Eryantis Board Game with Java, Model-View-Controller pattern with GUI, CLI, Remote multiplayer, Persistence

Mattia-Colbertaldo/FireJS

Mattia-Colbertaldo/Impressionism-GAN

Higly Customizable Generative Adversarial Network

Mattia-Colbertaldo/Mattia-Colbertaldo

Mattia-Colbertaldo/phylo-inference-ml

Infer phylogeny parameters with Deep Learning.

Mattia-Colbertaldo/Rocket.Chat

The communications platform that puts data protection first.