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development repository for python

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.

Folder for making available rendered jupyter notebooks illustrating the shakyground2 usage

DIY: How to build a spectrometer at home

Scalable explorative change detection for big Sentinel-2 data

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

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