Explore projects

This is the core of the auto ML approach that does model fitting, validation, and selection mostly using caret interfaces. It was written for automatically finding suitable machine learning models for table regression tasks.

R + fortran code to generate geostatistical spectral simulations of spherical covariance

http://swc-bb.gitext.gfz-potsdam.de/swc-lessons/2019-11-26-potsdam-berlin/shell/

http://swc-bb.gitext.gfz-potsdam.de/swc-lessons/2020-06-22-potsdam-berlin/shell/

http://swc-bb.gitext.gfz-potsdam.de/swc-lessons/2019-11-26-potsdam-berlin/R

2 half-day | Python | Beginner | Online | Link

http://swc-bb.gitext.gfz-potsdam.de/swc-lessons/2020-04-20-potsdam-berlin/Python/

https://swc-bb.git-pages.gfz-potsdam.de/swc-lessons/2021-04-27-GFZ-virtual/Python

http://swc-bb.gitext.gfz-potsdam.de/swc-lessons/2020-06-22-potsdam-berlin/python/

Massively parallel reactive transport simulator exploring acceleration strategies such as embedding of AI/ML and cache of results in Distributed Hash Tables. Developed in cooperation with computer scientists of University of Potsdam.

Mock-up dummy model in R, to help build the experiment system and structure modelers' repositories.