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Hi šŸ‘‹, I'm Marco

  • šŸŒ± Iā€™m currently learning DevOps, MLOps

  • šŸ’¬ Ask me about Game Theory

  • šŸ“« How to reach me tinacci.marco at gmail dot com

  • šŸ“„ Know about my experiences https://marcotinacci.github.io/

Connect with me:

marcotinacci marco-tinacci tinacci_marco

Marco Tinacci's Projects

event-oriented-language icon event-oriented-language

Project for "Languages, Interpreters and Compilers" course at the University of Florence. It uses xText on Eclipse to build a compiler from my personal Event Oriented Language (EOL) to C++.

fantaservlet icon fantaservlet

Project for Distributed Systems and Computer Networks. It uses java servlets to provide a fantasy football service.

financial-neural-networks icon financial-neural-networks

Project for Neural Networks course at the University of Florence. We have used neural networks for financial forecasting.

gogl icon gogl

Go player implementation for the Turing Anniversary Competition at the University of Florence

hearthstone-framework icon hearthstone-framework

Framework in Java of basic concepts used in Hearthstone to model cards, players, hero powers and so on.

image-clustering icon image-clustering

Parallelization and distribution techniques are employed with openMP and MPI to divide images in clusters by similarity

pmango-diagrams icon pmango-diagrams

This is a module of output functions for Gantt, task network and work breakdown structure diagrams in the application PMango.

pomdp-jresp icon pomdp-jresp

JResp is a Java environment implementation of the SCEL language. In this repository an extension of jResp is implemented to model partially observable models and policies synthesis currently computed employing the tool pomdp-solve.

predictive-crowds icon predictive-crowds

The anonymity protocol CROWDS extended with online control and analyzed from many point of views, one for each formulation of the parametric model.

small-world icon small-world

A digital conversion of the popular board game Small World

swarmrobotics icon swarmrobotics

Bachelor's thesis in computer science. SEAL is a language developed in Xtext and Java that model probabilistic and nondeterministic behaviors of adaptive agents. SEAL is compiled in the Prism model checker language to compute strategies that maximize probabilities of goal formulas.

wordle icon wordle

Python implementation of different types of Wordle strategies

xturing icon xturing

Xtext training with a language for Turing machines

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