GitHub / SarahAmiraslani / solar-wind-coronal-origin-ml
This project uses in-situ measurements and unsupervised learning to cluster solar wind with similar properties and map it to its coronal origins, aiming to enhance predictions of heliospheric phenomena through machine learning.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SarahAmiraslani%2Fsolar-wind-coronal-origin-ml
PURL: pkg:github/SarahAmiraslani/solar-wind-coronal-origin-ml
Stars: 1
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 132 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: about 1 year ago
Topics: class-project, unsupervised-machine-learning