8000 FabriDeCastelli (Fabrizio De Castelli) · GitHub
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FabriDeCastelli/README.md

Hi there 👋

Fabrizio De Castelli

🎓 Academic Journey

University of Pisa

Università della Svizzera italiana (USI), Lugano

  • Bachelor in Informatics (2022-2023)

📜 Thesis

  • Learned sparse representations for fast approximate retrieval (RUST)
  • 🎯 Final Degree: 110/110 cum laude

Current activity

  • 🎓 MSc student in Artificial Intelligence @University of Pisa.
  • 📜 Working on how to effectively capture long range spatiotemporal dependencies on dynamic graphs, in collaboration with the University of Cambridge!

Contact

Interests

  • Probabilistic (Deep) Machine Learning
  • Continual Learning
  • Geometric Deep Learning
  • Competitive Programming

Languages and Tools

Pytorch Keras Lightning AI



GitHub activity

fabridecastelli




Our Social Network - JourneyTales

Key contributor in the full stack development of JourneyTales, coauthored by the USI Pufferfish Team (2023)

GitLab project GitLab project

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  1. Ant-Colony-System Ant-Colony-System Public

    Podium at Artificial Intelligence Cup 2022 - USI

    C 2

  2. competitive-programming competitive-programming Public

    Competitive Programming and Contests 23/24 - UniPi, fall semester.

    Rust 1

  3. Representation-Learning-and-Generative-Models Representation-Learning-and-Generative-Models Public

    Some notes on Probabilistic models and advanced ML methods. Implementation of RBM, Contractive AE, Denoising AE and some TS analysis

    Jupyter Notebook

  4. Distributed-Wavefront Distributed-Wavefront Public

    Distributed Wavefront parallel pattern with MPI and Fastflow

    Python

  5. Minihack-Treasures-Collector Minihack-Treasures-Collector Public

    Forked from tommasoDR/Minihack-Treasures-Collector

    An agent that collects treasures on maps.

    Python

  6. NeuralNetworkFundamentals NeuralNetworkFundamentals Public

    Forked from francealip/NN-from-scratch

    Neural Networks implementation from scratch using Python and without using pre-built libraries or frameworks.

    Python

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