GitHub / eahussein / dc1
This tutorial is based on the SKA Data Challenge 1. The aim of the tutorial is to learn to identify and classify sources is radio images. The data provided is simulated, to represent what the SKA data will look like once the telescope is in operation.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eahussein%2Fdc1
PURL: pkg:github/eahussein/dc1
Stars: 0
Forks: 2
Open issues: 2
License: bsd-3-clause
Language: Jupyter Notebook
Size: 36.3 MB
Dependencies parsed at: Pending
Created at: over 3 years ago
Updated at: over 1 year ago
Pushed at: over 2 years ago
Last synced at: over 1 year ago
Topics: classification, machine-learning, python, radio-astronomy, ska, source-finding