NeuralHydrology --- A Python library for Deep Learning research in hydrology

Frederik Kratzert; Martin Gauch; Grey Nearing; Daniel Klotz

doi:10.21105/joss.04050

NeuralHydrology --- A Python library for Deep Learning research in hydrology

Python Submitted 21 December 2021 • Published 04 March 2022

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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} }

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python hydrology neural networks deep learning machine learning rainfall-runoff modeling

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ISSN 2475-9066