Explore projects

Suite of scripts to analyze annular shear experiments with a machine learning approach. From a series of experiments at different conditions, specific segments are extracted, features generated and then used as input for a machine learning algorithm.

Sensor Independent Atmospheric Correction

Folder for making available rendered jupyter notebooks illustrating the shakyground2 usage

Scalable explorative change detection for big Sentinel-2 data

Software to analyze stick-slipping granular material within the ring shear tester used at Helmholtz Laboratory for Tectonic Modelling (HelTec). This is a Python version of a suite of MatLab scripts also found within this project.

development repository for python

Py4HIP: Python script for heat-in-place calculations

This repository contains teaching material and code for short courses/lectures in Probabilistic Seismic Hazard Analysis

The code is written in Python and requires:

Numpy/Scipy Pandas Matplotlib Jupyter Notebook

A test project to show the capabilities of publishing iPython notebooks with GitLab