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opacmixer

fast opacity mixing using a DeepSet approach

https://github.com/aarondavidschneider/opacmixer

Science Score: 44.0%

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    Found CITATION.cff file
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    Found codemeta.json file
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    Low similarity (5.0%) to scientific vocabulary
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Repository

fast opacity mixing using a DeepSet approach

Basic Info
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  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Created about 3 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation

README.md

DeepSet opacity mixer

This repository includes the tools to train a DeepSet k-table mixer, as described in detail in Schneider et al. (2023).

The documentation for the code and tutorials are provided here: link to docs

If you find this work useful, please consider to cite the following paper: Schneider et al. (2023)

Owner

  • Name: Aaron David Schneider
  • Login: AaronDavidSchneider
  • Kind: user
  • Location: Copenhagen, Denmark
  • Company: Kopenhagen University

married, astrophysics student, python enthusiast

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "Harnessing machine learning for accurate treatment of overlapping opacity species in GCMs"
authors:
- family-names: "Schneider"
  given-names: "Aaron David"
  orcid: "https://orcid.org/0000-0002-1448-0303"
title: "opac_mixer"
version: 0.1
date-released: 2023-10-10
url: "https://github.com/aarondavidschneider/opac_mixer"

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Dependencies

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.github/workflows/pylint.yml actions
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  • actions/setup-python v3 composite
.github/workflows/pythonpublish.yml actions
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  • actions/setup-python v1 composite
doc/requirements.txt pypi
  • ipython *
  • nbsphinx *
  • numpy *
  • numpydoc *
  • recommonmark *
  • sphinx-rtd-theme *
pyproject.toml pypi
setup.py pypi
  • MITgcmutils *
  • h5py *
  • matplotlib *
  • numba *
  • numpy *
  • scikit-learn *
  • scipy *
  • tensorflow *
  • tqdm *