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University of Trieste & SISSA
- Torre di Mosto (VE) || Trieste (TS)
Highlights
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ies2025 Public
Code to replicate the experiments from the short paper "Towards Smarter Player Scouting: Learning Football Player Embeddings with Variational Autoencoders (VAEs)", by Giulio Fantuzzi, Leonardo Egid…
Jupyter Notebook MIT License UpdatedFeb 22, 2025 -
Pitch2Data Public
A deep learning framework leveraging YOLO to transform football videos into data insights. Final project for the Deep Learning course of the MSc degree in Data Science and Artificial Intelligence (…
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BeeOptimal Public
An open-source Python package implementing the Artificial Bee Colony (ABC) algorithm, a population-based optimization method inspired by the foraging behavior of honeybee swarms and designed to sol…
Python MIT License UpdatedDec 27, 2024 -
AdvancedDeep-KernelMethods Public
Repository for the Advanced Deep and Kernel Methods course, DSAI programme @ University of Trieste
HTML MIT License UpdatedNov 21, 2024 -
ML-final-project Public
Final project of the course "Introduction to Machine Learning"
Jupyter Notebook UpdatedNov 1, 2024 -
BayesianFootballModelling Public
Bayesian modelling of football outcomes using the Skellam distribution (Karlis&Ntzoufras model). Final project for the Bayesian Statistics course of the MSc degree in Data Science and Artificial In…
HTML UpdatedOct 30, 2024 -
HMMFootballTactics Public
Copula-based Hidden Markov Model (HMM) to decode tactics in a football match. Final project for the Probabilistic Machine Learning course of the MSc degree in Data Science and Artificial Intelligen…
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CloudBasic_FinalProject Public
Final project for the Cloud Basic exam of the DSAI MSc course, University of Trieste
Python UpdatedMar 17, 2024 -
HPC_FinalProject Public
Final Project of the HPC course (MSc DSAI, University of Trieste)
HTML UpdatedFeb 26, 2024 -
BSc-thesis Public
Statistical modelling for predicting football outcomes: an R implementation of the Dixon-Coles model and applications to the 2021-2022 Serie A championship
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Progetto finale del corso "Modelli Statistici"
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