diegochine
Research Fellow in Deep Learning at Ca' Foscari University, AI Student at University of Bologna
Ca' Foscari UniversityVenice, Italy
Pinned Repositories
buggerducks-bot
flatland-rl
intro-to-ml-nanodegree
Projects carried out during Udacity's Introduction to Machine Learning Nanodegree.
ITTS-TPSIT
Materiale per gli studenti dell'ITTS V. Volterra per la materia TPSIT.
LightGBM-SelGB
The work carried out for my Bachelor's thesis. Implementation of the Selective Gradient Boosting algorithm, along with several heuristic variants.
masters-thesis
pyagents
Just our DRL playground.
pypso
Implementation of the original Particle Swarm Optimization algorithm, along with a couple of variants.
videobayes
Predicting videogame sales using Bayesian reasoning techniques.
cdmo-vlsi
Project work for the first module of the Combinatorial Decision Making and Optimization course which is about modelling and solving a combinatorial decision problem with constraint programming and propositional satisfiability and/or its extension to satisfiability modulo theories.
diegochine's Repositories
diegochine/buggerducks-bot
diegochine/pyagents
Just our DRL playground.
diegochine/flatland-rl
diegochine/ITTS-TPSIT
Materiale per gli studenti dell'ITTS V. Volterra per la materia TPSIT.
diegochine/LightGBM-SelGB
The work carried out for my Bachelor's thesis. Implementation of the Selective Gradient Boosting algorithm, along with several heuristic variants.
diegochine/masters-thesis
diegochine/videobayes
Predicting videogame sales using Bayesian reasoning techniques.
diegochine/ao2020-winner-predictor
diegochine/pypso
Implementation of the original Particle Swarm Optimization algorithm, along with a couple of variants.
diegochine/tablutzero
diegochine/intro-to-ml-nanodegree
Projects carried out during Udacity's Introduction to Machine Learning Nanodegree.
diegochine/2048ai
Work I did for my high school thesis. Implementation of a simple search-based agent playing 2048.
diegochine/diegochine.github.io
diegochine/grid-world
A simple RL agent that solves a grid world environment using a Monte Carlo method.
diegochine/releat
REinforcement LEarning for Algorithmic Trading is a python framework for medium frequency trading algorithms for MetaTrader 5