A Distributed Monthly Water Balance Model. Download full version

python modules for model-independent uncertainty analyses, data-worth analyses, and interfacing with PEST(++)

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

Bayesian inversion of cosmogenic radionuclide depth profile data (Python 2.7)

Python package to retrieve data from Databank Ondergrond Vlaanderen (DOV)

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

Easy to use MATLAB wrapper for Python

Bayesian Modeling and Probabilistic Programming in Python

Multichain MCMC framework and algorithms based on PyMC.