nicola (nicolagulmini)

nicolagulmini

Geek Repo

Company:@nerve-bio

Location:Rome

Home Page:nerve-bio.com

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nicola's repositories

federated_learning

Library to simulate a distributed learning scenario, with clusters of users that train models minimizing a local cost function, and a server that wants to minimize a global cost function. The aim of the project is to study the tradeoff between local and global accuracy.

plugins

Source code of the plugins I've made with JUCE library.

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heuristics_tsp

Test heuristics (greedy, genetic algorithms...) on Travelling Salesperson Problem. Graphs implemented with NetworkX library.

Automata_Languages_and_Computation_unipd2019_notes

LaTeX notes of Automata, Languages and Computation (Automi, Linguaggi e Computazione) course from Computer Engineering master course at University of Padua, 2019.

virulent_factor_classification

Model that computes the probability of a protein to be a virulence factor.

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Boat_Detector

The purpose of this project is to develop a program that is capable of detecting one or more boats in an image and also to distinguish the case in which there is not any boat... without using deep learning.

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chaos_game_representation

A simple Python script to generate the chaos game representation of a DNA sequence.

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spaan

Model that computes the probability of a protein to be an adhesin. The best predictor you will find for protein sequences ;)

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amazing_graphs

Python scripts to generate "Amazing Graphs", inspired by the Numberphile series.

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automatic_screenshots

A simple C++ program to take and save (in the default path) a screenshot every 10 minutes in a 1-hour window.

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balls_and_bins

Exercise 5.4-2 from Chapter 5 Probabilistic Analysis and Randomized Algorithms (Introduction to Algorithms, CLRS)

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k-armed_bandit

Python script to implement and analyze a k-armed testbed.

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kattis

Kattis problems' solutions.

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MagneticFieldModeling

Real-time magnetic field mapping and interpolation.

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reports_and_notes

Reports from university courses' projects.

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tmhmm.py

A transmembrane helix finder in Python 3.

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VAE_for_plasma_physics

Project title: "A deep learning approach for data recovery in the Soft X-Ray fusion plasma diagnostics".

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