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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 👾 .

David Preti's Projects

aising icon aising

Ising model from Recurrent Neural Network

alpha-zero-general icon alpha-zero-general

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

deeprl-tensorflow2 icon deeprl-tensorflow2

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

grid icon grid

Data parallel C++ mathematical object library

growingneuralgas icon growingneuralgas

GNG algorithm from "A Growing Neural Gas Network Learns Topologies" by Fritzke B.

langchain icon langchain

⚡ Building applications with LLMs through composability ⚡

mcts icon mcts

Monte Carlo Tree Search algorithm

ml icon ml

My personal collection of Machine Learning algorithms modules. It has been created for learning and research purposes. It contains the implementation of classic Machine Learning algorithms (like knn, decision trees, Naive Bayes, linear regression, etc) along with their variations, as a result of experiments and research studies.

psokeras icon psokeras

Demonstration of Particle Swarm Optimization as a training algorithm for Keras neural network models as a gradient-free training alternative to backpropagation.

py-uwerr icon py-uwerr

Python implementation of Monte Carlo error analysis a la Wolff.

rl icon rl

Library of RL algorithms

transformers icon transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

utils icon utils

python utilities and templates

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