bjmcnabb/DMS_Climatology: v2.0.0
Includes scripts for generating DMS climatologies in the Southern Ocean. The ANN ensemble function now utilizes the PyTorch framework, providing up to ~16x faster training times over the previous NESAP iteration using Scikit-Learn's implementation. Please see the associated readme files for mor...
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Online Access: | https://zenodo.org/record/6413497 https://doi.org/10.5281/zenodo.6413497 |
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ftzenodo:oai:zenodo.org:6413497 2023-05-15T18:24:42+02:00 bjmcnabb/DMS_Climatology: v2.0.0 Brandon McNabb 2022-04-05 https://zenodo.org/record/6413497 https://doi.org/10.5281/zenodo.6413497 unknown https://github.com/bjmcnabb/DMS_Climatology/tree/v2.0.0 doi:10.5281/zenodo.6354168 https://zenodo.org/record/6413497 https://doi.org/10.5281/zenodo.6413497 oai:zenodo.org:6413497 info:eu-repo/semantics/openAccess info:eu-repo/semantics/other software 2022 ftzenodo https://doi.org/10.5281/zenodo.641349710.5281/zenodo.6354168 2023-03-11T03:04:59Z Includes scripts for generating DMS climatologies in the Southern Ocean. The ANN ensemble function now utilizes the PyTorch framework, providing up to ~16x faster training times over the previous NESAP iteration using Scikit-Learn's implementation. Please see the associated readme files for more information. Software Southern Ocean Zenodo Southern Ocean |
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Open Polar |
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Zenodo |
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ftzenodo |
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unknown |
description |
Includes scripts for generating DMS climatologies in the Southern Ocean. The ANN ensemble function now utilizes the PyTorch framework, providing up to ~16x faster training times over the previous NESAP iteration using Scikit-Learn's implementation. Please see the associated readme files for more information. |
format |
Software |
author |
Brandon McNabb |
spellingShingle |
Brandon McNabb bjmcnabb/DMS_Climatology: v2.0.0 |
author_facet |
Brandon McNabb |
author_sort |
Brandon McNabb |
title |
bjmcnabb/DMS_Climatology: v2.0.0 |
title_short |
bjmcnabb/DMS_Climatology: v2.0.0 |
title_full |
bjmcnabb/DMS_Climatology: v2.0.0 |
title_fullStr |
bjmcnabb/DMS_Climatology: v2.0.0 |
title_full_unstemmed |
bjmcnabb/DMS_Climatology: v2.0.0 |
title_sort |
bjmcnabb/dms_climatology: v2.0.0 |
publishDate |
2022 |
url |
https://zenodo.org/record/6413497 https://doi.org/10.5281/zenodo.6413497 |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_relation |
https://github.com/bjmcnabb/DMS_Climatology/tree/v2.0.0 doi:10.5281/zenodo.6354168 https://zenodo.org/record/6413497 https://doi.org/10.5281/zenodo.6413497 oai:zenodo.org:6413497 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.641349710.5281/zenodo.6354168 |
_version_ |
1766205510427607040 |