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Frederik Kratzert

Elite
@kratzert

Machine Learning/Hydrology Researcher

finetune_alexnet_with_tensorflow. Code for finetuning AlexNet in TensorFlow >= 1.2rc0

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Caravan. A global community dataset for large-sample hydrology

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ealstm_regional_modeling. Accompanying code for our HESS paper "Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets"

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RRMPG. Rainfall-Runoff modelling playground

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pangeo_lstm_example. Example notebook, showing how to use LSTMs for rainfall-runoff modeling

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lstm_for_pub. Code for our WRR paper "Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning"

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kratzert.github.io. my blog

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RivRetrieve-Python. A Python package for downloading global river gauge data

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AGU2018. Do internals of neural networks make sense in the context of hydrology?

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Ubuntu_from_scratch. Installation guide for commonly needed libarys/programms for DL/CV

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hydro2zarr. Utilities for converting common large-sample hydro dataset to zarr file format.

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EGU2017_public. This repository containes all scripts & data to reproduce the results of my study presented at the EGU 2017

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multiple_forcing. Python

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mts-lstm. Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network

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numba_tutorials. Jupyter notebooks of all parts of my Numba tutorial series

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usgs_utils. Utility code for downloading USGS gauge data

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never-paper. Jupyter Notebook

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kaggle. Repository to store all kaggle submission codes

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LHMP. Lumped Hydrological Models Playgroud

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neurips2019_climate_change_workshop. This repository contains the poster of our NeurIPS 2019 workshop paper

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pyTSEB. A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data

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