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Authors
Frederik Kratzert (0000-0002-8897-7689), Martin Gauch (0000-0002-4587-898X), Grey Nearing (0000-0001-7031-6770), Daniel Klotz (0000-0002-9843-6798)
Citation
Kratzert et al., (2022). NeuralHydrology --- A Python library for Deep Learning research in hydrology. Journal of Open Source Software, 7(71), 4050, https://doi.org/10.21105/joss.04050
@article{Kratzert2022,
doi = {10.21105/joss.04050},
url = {https://doi.org/10.21105/joss.04050},
year = {2022},
publisher = {The Open Journal},
volume = {7},
number = {71},
pages = {4050},
author = {Frederik Kratzert and Martin Gauch and Grey Nearing and Daniel Klotz},
title = {NeuralHydrology --- A Python library for Deep Learning research in hydrology},
journal = {Journal of Open Source Software}
}
Tags
python hydrology neural networks deep learning machine learning rainfall-runoff modeling
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This work is licensed under a Creative Commons Attribution 4.0 International License.
