micheledisabato Goto Github PK

anndl-course-projects

This repository contains the results of two challenges organized for the course of Artificial Neural Networks and Deep Learning [Politecnico di Milano, 2021/2022].

appliedstatistics

Collection of some exercises and code snippets for the course of Applied Statistics [Politecnico di Milano, 2020/2021] by Professor Piercesare Secchi.

atp-calibration

Calibration of the monodomain model coupled with the Rogers-McCulloch model for the ionic current: design of a protocol for impulse delivery from an ATP device.

bayesianoptimizationkg

Contribution to an open source repository which implements the Bayesian Optimization algorithm - Knowledge Gradient implementation

covid-19

Forecast COVID 19 trend for three regions in Italy.

detecting-abnormal-markets-ews

Detecting Abnormal Markets - Early Warning Systems

eestec-challenge

Solution of a machine learning problem during the 12 hours hackathon EESTEC challenge, local round (Milan)

fdasrvf

:exclamation: This is a read-only mirror of the CRAN R package repository. fdasrvf — Elastic Functional Data Analysis

laa-thrombosis

Developement of FreeFem code to rank Left Atrial Appendages in terms of risk for thrombosis propensity.

nn_learningofrstar_covid19

Machine learning algorithms for the calibration of epidemiological compartmental models: application to the Italian COVID-19 outbreaks in Italy and to the newly developed SUIHTER model.

openpilot

openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 100 supported car makes and models.

r-source

R Source Code

statistics-behind-spotify

Is it possible to predict the popularity of a song based on its technical features? Which aspect of a song should an artist focus on to get more visibility? Could record labels or a new up-and-coming artist benefit from these data-driven and data-informed decisions?

voronoi-functional-anomaly-detection