neurosynchro
Train and use neural networks to quickly approximate polarized synchrotron radiative transfer coefficients.
Train and use neural networks to quickly approximate polarized synchrotron radiative transfer coefficients.
To install this package, run one of the following:
Neurosynchro is a small Python package for creating and using neural networks to quickly approximate the coefficients needed for fully-polarized synchrotron radiative transfer. It builds on the Keras deep learning library.
Summary
Train and use neural networks to quickly approximate polarized synchrotron radiative transfer coefficients.
Last Updated
Aug 8, 2018 at 13:53
License
MIT
Supported Platforms
GitHub Repository
https://github.com/pkgw/neurosynchroDocumentation
http://neurosynchro.readthedocs.io/