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autobel-v1.0

This is the repository for the Auto-BEL implementation in Python

bel1d

Matlab toolboxes for the application of Bayesian Evidential Learning 1D imaging.

belpy

Some tools to perform Bayesian Evidential Learning in Python

ditelforbrugiexcelapi

Dit elforbrug automatisk hentet ind i et Excelark, der viser det i grafer, du kan filtrere :)

flopy

A Python package to create, run, and post-process MODFLOW-based models.

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

medium-softclusteringweights

Code and data to accompany the Medium article on soft k-means weights

ml-course

Material for a course on machine learning based on open available lectures and exercises

ml-course-hgg

modflow-setup

Package for automating setup of MODFLOW groundwater flow models

mpslib

A C++ class for Mutiple Point Simulation algorithms

notes

This repository holds various notes on important python packages and how to install them

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

quss

Companion code for Scheidt, C, Li, L, and Caers, J. K. Quantifying Uncertainty in Subsurface Systems, John Wiley & Sons, 2017.

sfrmaker

Python package to facilitate use of the streamflow-routing (SFR) package in MODFLOW.