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Train and use neural networks to quickly approximate polarized synchrotron radiative transfer coefficients.

copied from cf-staging / neurosynchro

Installers

Info: This package contains files in non-standard labels.
  • noarch v0.1.4

conda install

To install this package run one of the following:
conda install conda-forge::neurosynchro
conda install conda-forge/label/cf201901::neurosynchro
conda install conda-forge/label/cf202003::neurosynchro
conda install conda-forge/label/gcc7::neurosynchro

Description

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.


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