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  • University of Trieste & SISSA
  • Torre di Mosto (VE) || Trieste (TS)

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giuliofantuzzi/README.md

GIULIO FANTUZZI

About me:

  • Torre di Mosto (VE) || Trieste (TS) 📍 🌍
  • MSc Data Science and Artificial Intelligence (University of Trieste) 💻 🤖
  • BSc Statistics and Informatics for Business, Finance and Insurance (University of Trieste) 📊 🎓

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  1. HMMFootballTactics 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…

    Jupyter Notebook 5 1

  2. BeeOptimal 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

  3. Pitch2Data 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 (…

    Python 2 3

  4. ies2025 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

  5. BayesianFootballModelling 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

  6. BSc-thesis 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

    R 1