francesco-source
Graduated in Physics at UNIBO 110L. I'm attending computer science and engineering at UNIBO.
University of BolognaBologna
Pinned Repositories
PyTablut
Tablut game client in Python. Made for challenge project for FAIKR course module 1 of master degree in AI (UniBO)
DeepLearning
Deep Learning Repository from the Deep Learnign Course
Laboratorio-2-Particle-Root
This code was used to simulate the collision and the production of different particles inside different experimet at CERN.
Machine-Learning
All the exercises and the exams of the Machine Learning course.
Multiple-Couriers-Planning-Problem
This repository contains the solution of the Multiple Couriers Planning problem, developed as a group project for the Combinatorial Decision Making and Optimization exam at Alma Mater Studiorum (Unibo) by Francesco Pivi, Matteo Fusconi, Shola Oshodi and Niccolò Marzi.
Portfolio-Optimization-via-Machine-Learning-Models
We tackle two main challenges in quantitative finance: selecting an optimal stock portfolio and improving returns annually.
Resume_application
SIR_Project
A pandemic simulator written in C++ based on SFML open-source graphic library. Developed by three physics students of Alma Mater Studiorum - University of Bologna.
methods-for-3d-femur-segmentation
reviewCPP
francesco-source's Repositories
francesco-source/DeepLearning
Deep Learning Repository from the Deep Learnign Course
francesco-source/Laboratorio-2-Particle-Root
This code was used to simulate the collision and the production of different particles inside different experimet at CERN.
francesco-source/Machine-Learning
All the exercises and the exams of the Machine Learning course.
francesco-source/Multiple-Couriers-Planning-Problem
This repository contains the solution of the Multiple Couriers Planning problem, developed as a group project for the Combinatorial Decision Making and Optimization exam at Alma Mater Studiorum (Unibo) by Francesco Pivi, Matteo Fusconi, Shola Oshodi and Niccolò Marzi.
francesco-source/Portfolio-Optimization-via-Machine-Learning-Models
We tackle two main challenges in quantitative finance: selecting an optimal stock portfolio and improving returns annually.
francesco-source/Resume_application