Optimizing initial conditions for Polya contagion model
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Updated
Apr 8, 2019 - Python
Optimizing initial conditions for Polya contagion model
Tesi di Laurea Magistrale
Implemented my own interpreter and programming language in Python.
This research proposes a novel order batching approach for warehouses to minimize total tardiness, considering category, weight, and fragility constraints. A Set-based Mayfly Algorithm (SBMA) is developed, adapting the Mayfly Algorithm to the discrete problem and leveraging swarming/mating behaviors to avoid local optima.
Simple world models lead to good abstractions, Google Cerebra internship 2020/master thesis at EPFL LCN 2021 ⬛◼️▪️🔦
A basic implementation of imitation learning using Stable Baselines 2.10
Project concerning the development of smart contracts on the Algorand blockchain platform. This project was developed for the realization of the three-year degree thesis in computer science at the Sapienza University of Rome.
Honors undergraduate thesis end-to-end machine learning project for weather prediction on Mars.
This repository serves as a supporting workspace for the proof-of-concept (PoC) implementation related to the Master Thesis titled "Quantitative Cost Assessment of IaC Testing". While the actual PoC is encapsulated within a submodule, this repository contains the essential guides and tooling required to set up and run the PoC.
Strong Disorder RG Flow and the Random Singlet Phase of a 1D Random AF Heisenberg Spin-1/2 Chain.
Automatic detection system of plagiarized reports by using smith waterman algorithm
This is the official PyTorch implementation of my Master thesis. The main goal of this work was to optimize latent dynamics models with unsupervised representation learning.
Empirical Evaluation of the Resilience of Novel S-Box Implementations Against Power Side-Channel Attacks
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