.. _tutorials:

Tutorials
===========
The :code:`MParT-examples` repository provides several tutorials demonstrating how to use MParT in c++, python, Julia, and Matlab.   Below are a gallery of these examples linking to python notebooks.  For other languages, please go to the example repository.

.. card::
    View examples from all languages on Github

    .. button-link:: https://github.com/MeasureTransport/MParT-examples
        :color: info
        :shadow:
        :expand:

        MeasureTransport/MParT-examples

Gallery (Python)
-----------------

.. grid:: 1 2 2 3
    :gutter: 3 

    .. grid-item-card:: Map from Density
        :link: python/FromDensity2D_banana.ipynb

        Construct a transport map from a two dimension probability density function.

    .. grid-item-card:: Map from Samples
        :link: python/FromSamples2D_banana.ipynb

        Construct a transport map from two dimensional samples.

    .. grid-item-card:: Monotone Least Squares
        :link: python/MonotoneLeastSquares.ipynb

        Use a one dimensional monotone parameterization for regression constrained to the space of strictly increasing functions.

    .. grid-item-card:: Bayesian Inference
        :link: python/BayesianInference_BOD.ipynb

        Use a transport map to characterize a Bayesian posterior distribution arising in biochemical oxygen demand.

    .. grid-item-card:: Stochastic Volatility
        :link: python/SparseDensityEstimation_SV.ipynb

        Use known conditional independence structure for map-based density estimation in high dimensions.