Skip to content

aleruzza/gravityspyml

Repository files navigation

Study of three machine learning methods applied to the Gravity Spy dataset

This repository contains code and jupyter notebooks of the project required for the exam of the course "Machine Learning con applicazioni" attended in 2021-2022.

The report is divided among the five numbered Jupyter notebooks.

Alessandro Ruzza

References to the gravity spy dataset

Gravity Spy - Kaggle, Available at https://www.kaggle.com/tentotheminus9/gravity-spy-gravitational-waves

Gravity Spy - Zooniverse, Available at https://www.zooniverse.org/projects/zooniverse/gravity-spy

Zevin, Michael, et al. Gravity Spy: integrating advanced LIGO detector characterization, machine learning, and citizen science. Classical and quantum gravity 34.6 (2017): 064003.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published