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Name: Basil Kraft
Type: User
Bio: PostDoc at ETHZ IAC
Basil Kraft's Projects
dl4es_ch18
Contains experiments conducted for the DL4ES book, chapter 18. We use an LSTM (and contrast to a feed-forward model) to emulate a land-surface model to demonstrate the capability of an LSTM to capture ecological memory effects on the global scale for various conditions.
drought_ml
Drought prediction and understanding with deep learning
egu_2022
host reveal.js talk with github pages
embedding-video
A demonstration on three ways to embed videos in LaTeX.
h2m
Hybrid model of the global hydrological cycle
mach-flow
Rainfall-runoff modeling (Mach-flow project)
pytorch_utils
Helper tools do build pytorch models and pipelines.
q10hybrid
Q10 hybrid modeling experiment for a book chapter.
swe_hybrid
Simple hybrid model of snow water equivalent (SWE) for educational purpose
ts_transformer
Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
vscode-reveal
Revealjs vsCode extension
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