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pretidav/README.md

Hi there 👋

Webpage LinkedIn Publications BuyMeACoffee

I hold a Ph.D. in Theoretical Physics ⚛️. I’ve been researching in the field of high energy particle physics for several years. More specifically I am interested in the theoretical description of statistical systems and on strongly coupled quantum field theories ➿ (QCD), both addressed through numerical Monte Carlo simulations 🎲 of quantum fields discretized on a (four-dimensional) space-time lattice (Lattice Gauge Theories).

In recent years I branched out my interests to AI and Machine Learning methods 🤖, focusing on deep neural networks applied to Natural Language Processing 💬 and Reinforcement Learning 👾 .

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  1. Grid Grid Public

    Forked from paboyle/Grid

    Data parallel C++ mathematical object library

    C++

  2. Reinforcement_Learning Reinforcement_Learning Public

    3D maze dynamic environment optimization with Dyna-Q and Dyna-Q+ algorithms.

    Jupyter Notebook

  3. hopfield hopfield Public

    Hopfield model for T=0 and finite T.

    Python 1

  4. orthogonal-bandits orthogonal-bandits Public

    Orthogonal Bandit Portfolios

    Python 3

  5. stat_analysis stat_analysis Public

    Scientific data analysis tools

    Python 1

  6. inference inference Public

    Simple serving - predict system sandbox

    Python