This project aims to develop a machine learned method for
cross-identifying radio objects and their host galaxies, using
crowdsourced labels from the Radio Galaxy Zoo <http://radio.galaxyzoo.org>__.
|PyPI| |Travis-CI| |Documentation Status| |DOI|
For setup details, see the documentation on Read the Docs <http://crowdastro.readthedocs.io/en/latest/>__.
For a brief description of each notebook, see the documentation
here <docs/notebooks.md>__.
The cross-identification dataset is available on Zenodo <http://dx.doi.org/10.5281/zenodo.58316>__.
.. |PyPI| image:: https://img.shields.io/pypi/v/crowdastro.svg :target: https://pypi.python.org/pypi/crowdastro .. |Travis-CI| image:: https://travis-ci.org/chengsoonong/crowdastro.svg?branch=master :target: https://travis-ci.org/chengsoonong/crowdastro .. |Documentation Status| image:: https://readthedocs.org/projects/crowdastro/badge/?version=latest :target: http://crowdastro.readthedocs.io/en/latest/?badge=latest .. |DOI| image:: https://zenodo.org/badge/doi/10.5281/zenodo.58316.svg :target: http://dx.doi.org/10.5281/zenodo.58316