This dataset provides all python3 code necessary to train convolutional neural networks built with pyTorch, as well as the data to train the networks. A README file is provided with instructions for accessing the training data, viewing the alread computed models, and all software dependency versions.
%0 Generic
%1 davis2022replication
%A Davis, Kyle
%A Schulte, Miriam
%D 2022
%K darus mult ubs_10005 ubs_10021 ubs_20008 ubs_20019 ubs_30082 ubs_30165 ubs_40116 unibibliografie
%R 10.18419/darus-3184
%T Replication Data for: Geothermal-ML - predicting thermal plume from groundwater heat pumps
%X This dataset provides all python3 code necessary to train convolutional neural networks built with pyTorch, as well as the data to train the networks. A README file is provided with instructions for accessing the training data, viewing the alread computed models, and all software dependency versions.
@misc{davis2022replication,
abstract = {This dataset provides all python3 code necessary to train convolutional neural networks built with pyTorch, as well as the data to train the networks. A README file is provided with instructions for accessing the training data, viewing the alread computed models, and all software dependency versions. },
added-at = {2022-11-03T08:49:57.000+0100},
affiliation = {Davis, Kyle/Universität Stuttgart, Schulte, Miriam/Universität Stuttgart},
author = {Davis, Kyle and Schulte, Miriam},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/28587bf3248e89ad500ae2a4768ca9d35/unibiblio},
doi = {10.18419/darus-3184},
howpublished = {Software},
interhash = {03bd90df9cfebd8e791479a41212660f},
intrahash = {8587bf3248e89ad500ae2a4768ca9d35},
keywords = {darus mult ubs_10005 ubs_10021 ubs_20008 ubs_20019 ubs_30082 ubs_30165 ubs_40116 unibibliografie},
orcid-numbers = {Davis, Kyle/0000-0001-8602-8124, Schulte, Miriam/0000-0003-4594-6142},
timestamp = {2022-11-03T07:49:57.000+0100},
title = {Replication Data for: Geothermal-ML - predicting thermal plume from groundwater heat pumps},
year = 2022
}
