Name: Frederik Kratzert
Type: User
Company: Google Research
Bio: Machine Learning/Hydrology Researcher
Twitter: fkratzert
Location: Remote
I'm Frederik Kratzert, Researcher @ Google working in the Flood Forecasting Team. This here is my private GitHub account, were I maintain my open source projects and publish code related to any kind of research articles.
Most of my research is dedicated towards solving applications in environmental sciences (mainly hydrology) with machine learning.
agu2018
Do internals of neural networks make sense in the context of hydrology?
caravan
A global community dataset for large-sample hydrology
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"
egu2017_public
This repository containes all scripts & data to reproduce the results of my study presented at the EGU 2017
finetune_alexnet_with_tensorflow
Code for finetuning AlexNet in TensorFlow >= 1.2rc0
google-experiment-visualizer
kaggle
Repository to store all kaggle submission codes
kratzert
kratzert.github.io
my blog
lhmp
Lumped Hydrological Models Playgroud
lstm_for_pub
Code for our WRR paper "Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning"
maca_climate_models
Functions for extracting basin average data from MACA climate models
mts-lstm
Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network
multiple_forcing
mydcc
neurips2019_climate_change_workshop
This repository contains the poster of our NeurIPS 2019 workshop paper
never-paper
numba_tutorials
Jupyter notebooks of all parts of my Numba tutorial series
numpy
The fundamental package for scientific computing with Python.
pangeo_lstm_example
Example notebook, showing how to use LSTMs for rainfall-runoff modeling
python-findup
Find the first file matching a given pattern in the current directory or the nearest ancestor directory.
pytseb
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
rrmpg
Rainfall-Runoff modelling playground
ubuntu_from_scratch
Installation guide for commonly needed libarys/programms for DL/CV
umap
Uniform Manifold Approximation and Projection
usgs_utils
Utility code for downloading USGS gauge data
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
