.. _demo_list-label:

Demo list
=========

A number of demos have been created to help you exploit the accelerated tSNE and HSNE offered by this package. 
The demos are available in a single demos.zip file |zenodo_url|.

.. list-table:: Demos
   :widths: 25, 50
   :header-rows: 1

   * - Demo
     - Description
   * - **Basic HSNE demo** |zenodo_url|
     - | A limited demo showing HSNE visual
       | analytics on the *mnist* data set
   * - **Extended HSNE demo** |zenodo_url|
     - .. line-block::
         A complete demonstration including
         three different datatypes:
         * Image is datapoint (MNIST)
         * Pixel is data point (Hyperspectral solar images)
         * Multi-dimensional plus meta data (Genetic data)
   * - **HSNE Louvain Demo** |zenodo_url|
     - | Louvain clustering applied to
       | levels in the HSNE hierarchy
   * - **TextureTsne** |zenodo_url|
     - | GPU accelerated t-SNE
       | on 70000 MNIST points
   * - **TextureTsneExtended** |zenodo_url|
     - | GPU accelerated t-SNE
       | on 70000 MNIST points
       | with intermediate results
   * - **DocTest** |zenodo_url|
     - | Run the internal doctest examples in nptsne
       | Can be used for install verification
   * - | **Jupyter notebook for GPU accelerated tSNE**
       | |zenodo_url|
     - .. line-block::
         A Jupyter notebook demonstration
         of the tSNE API.
         Illustrates the following options:
         * a plain tSNE
         * a pre-loaded embedding
         * controlling the iteration when the
           exaggeration factor is removed.