pyTAMS is a modular implementation of the trajectory-adaptive multilevel splitting (TAMS) method introduced by Lestang et al.. This method aims at predicting rare events probabilities in dynamical systems by biasing an system trajectories ensemble.
The main objective of pyTAMS is to provide a general framework for applying TAMS to high-dimensional systems such as the ones encountered in geophysical or engineering applications.
To install pyTAMS from GitHub repository, do:
git clone [email protected]:nlesc-eTAOC/pyTAMS.git
cd pyTAMS
python -m pip install .
pyTAMS documentation is hosted on GitHub here
If you want to contribute to the development of pyTAMS, have a look at the contribution guidelines.
The development of pyTAMS was supported by the Netherlands eScience Center in collaboration with the Institute for Marine and Atmospheric research Utrecht IMAU.
This package was created with Cookiecutter and the NLeSC/python-template.