efmkoene

Pinned Repositories

Advanced-Machine-Learning-Summary
A not-completed summary of things covered in the Advanced Machine Learning Course at the ETH Zürich, 2018-2019.
Language:TeX3 2 01
AML-2018-cheatsheet
Cheatsheet for Advanced Machine Learning exam @ ETH Zürich, 2018-2019.
Language:TeX11 2 09
bm3d
Language:C0 1 00
copernicus-training
This repository hosts Jupyter notebook tutorials on the Copernicus Climate Change (C3S) and Atmosphere Monitoring (CAMS) Services.
Language:Jupyter Notebook0 1 00
divergence_method_figures
Jupyter notebooks to reproduce the figures for "On the theory of the divergence method for quantifying source emissions from satellite observations"
Language:Jupyter Notebook0 1 00
DMFN
Image Fine-grained Inpainting (Winner Award of ECCVW AIM 2020 Extreme Inpainting Track1&Track2)
Language:Python0 1 00
efmkoene.github.io
Jekyll base for https://efmkoene.github.io
Language:HTML00
emiproc
Preprocessing of emissions for online emissions module implemented in COSMO-ART, COSMO-GHG and ICON-ART
Language:Python0 0 00
Optimal-finite-difference-operators-for-arbitrarily-sampled-data
Code accompanying the Geophysics paper "Optimal finite-difference operators for arbitrarily sampled data"
Language:MATLAB2 2 01
optimal_FD
MATLAB scripts to compute optimal finite-difference coefficients for staggered grid finite-differences
Language:Matlab9 2 01

efmkoene's Repositories

efmkoene/AML-2018-cheatsheet
Cheatsheet for Advanced Machine Learning exam @ ETH Zürich, 2018-2019.
Language:TeX11 2 09
efmkoene/optimal_FD
MATLAB scripts to compute optimal finite-difference coefficients for staggered grid finite-differences
Language:Matlab9 2 01
efmkoene/Advanced-Machine-Learning-Summary
A not-completed summary of things covered in the Advanced Machine Learning Course at the ETH Zürich, 2018-2019.
Language:TeX3 2 01
efmkoene/Optimal-finite-difference-operators-for-arbitrarily-sampled-data
Code accompanying the Geophysics paper "Optimal finite-difference operators for arbitrarily sampled data"
Language:MATLAB2 2 01
efmkoene/bm3d
Language:C0 1 00
efmkoene/copernicus-training
This repository hosts Jupyter notebook tutorials on the Copernicus Climate Change (C3S) and Atmosphere Monitoring (CAMS) Services.
Language:Jupyter Notebook0 1 00
efmkoene/divergence_method_figures
Jupyter notebooks to reproduce the figures for "On the theory of the divergence method for quantifying source emissions from satellite observations"
Language:Jupyter Notebook0 1 00
efmkoene/DMFN
Image Fine-grained Inpainting (Winner Award of ECCVW AIM 2020 Extreme Inpainting Track1&Track2)
Language:Python0 1 00
efmkoene/efmkoene.github.io
Jekyll base for https://efmkoene.github.io
Language:HTML00
efmkoene/emiproc
Preprocessing of emissions for online emissions module implemented in COSMO-ART, COSMO-GHG and ICON-ART
Language:Python0 0 00
efmkoene/processing-chain
Processing Chain for COSMO and ICON Simulations
Language:Python1 0
efmkoene/scikit-image
Image processing in Python
Language:Python1 0