c-brugo

c-brugo.github.io

Personal website

cbrugo-notebooks

Collection of data science notebooks

JIGEN_AIMLProject

Model to use for the project "Domain Generalization by Solving Jigsaw Puzzles" of the course ML&AI @ PoliTo

JIGEN_AIMLProject_deepall

lazy-playlist

Automated Spotify playlist maker

mlai-homeworks

Homeworks of the course Machine Learning and Artificial Intelligence @ PoliTo

MLAI-HW-Tools

Personalized objects (dataset and neural network classes) for the homeworks of the course ML&AI @ PoliTo

mlh-localhost-github

This repo contains the source code for the MLH Localhost workshop, How to Collaborate on Code Projects with GitHub.

pkm-science

Data Science and Machine Learning personal project on Pokemon Datasets

song-mng

Manager for music files and song metadata written in Python

c-brugo/JIGEN_AIMLProject

Model to use for the project "Domain Generalization by Solving Jigsaw Puzzles" of the course ML&AI @ PoliTo

c-brugo/song-mng

Manager for music files and song metadata written in Python

c-brugo/c-brugo.github.io

Personal website

c-brugo/cbrugo-notebooks

Collection of data science notebooks

c-brugo/JIGEN_AIMLProject_deepall

c-brugo/lazy-playlist

Automated Spotify playlist maker

c-brugo/mlai-homeworks

Homeworks of the course Machine Learning and Artificial Intelligence @ PoliTo

c-brugo/MLAI-HW-Tools

Personalized objects (dataset and neural network classes) for the homeworks of the course ML&AI @ PoliTo

c-brugo/mlh-localhost-github

This repo contains the source code for the MLH Localhost workshop, How to Collaborate on Code Projects with GitHub.

c-brugo/pkm-science

Data Science and Machine Learning personal project on Pokemon Datasets

c-brugo/RemoteBackup_Client

The project aims at building a client-server system that performs an incremental back-up of the content of a folder (and all its sub-folders) on the local computer onto a remote server. Once launched, the system will operate as a background service keeping the content of the configured folder in sync with the remote copy: whenever the monitored content changes (new files are added, existing ones are changed and/or removed), suitable command will be sent across the network in order to replicate the changes on the other side. In case of transient errors (network portioning or failure of the remote server), the system will keep on monitoring the evolution of the local folder and try to sync again as soon as the transient error condition vanishes).