Tutorials
=========

.. rubric:: Getting Started

These tutorials describe the basics of `mlcolvar` through an example workflow. 
In addition, instructions on how to create datasets and customize the training are also given.

.. toctree::
   :maxdepth: 2

   tutorials_overview
 
.. rubric:: Collective variables

The following tutorials cover (some of) the CVs implemented in the library.

.. toctree::
   :maxdepth: 2

   tutorials_cvs
 
.. rubric:: Customizing CVs

How to customize the CVs, either using the multitask framework or by creating new ones based on the existing ones. Moreover, we also discuss how to add pre or post processing layers. 

.. toctree::
   :maxdepth: 2

   tutorials_advanced

.. rubric:: Interpreting CVs

Some examples of how to interpret the CVs, using sensitivity analysis or sparse linear models. 

.. toctree::
   :maxdepth: 2

   tutorials_explain

.. rubric:: Utils

Tutorials on how to use some of the utils functions provided.

.. toctree::
   :maxdepth: 2

   tutorials_utils