[ENH] Improving docs, examples, and tutorials of pytorch-forecasting

docs/source/tutorials.rst

@@ -5,9 +5,72 @@ Tutorials
 
 The following tutorials can be also found as `notebooks on GitHub <https://github.com/sktime/pytorch-forecasting/tree/main/docs/source/tutorials>`_.
 
+
+Chapter 1 - Introduction
+------------------------
+
+.. _chapter1:
+
+.. list-table::
+   :widths: 25 50 10
+   :header-rows: 1
+
+   * - Notebook
+     - Description
+     - Link
+   * - Getting started
+     - How to install and import the `pytorch-forecasting` package for the first time and training a simple model.
+     - Link
+   * - TimeSeries Dataset
+     - How to use the `pytorch-forecasting` TimeSeriesDataSet class
+     - Link
+
+Chapter 2 - Time Series Models
+------------------------------
+
+.. _chapter2:
+
+.. list-table::
+   :widths: 25 50 10
+   :header-rows: 1
+
+   * - Notebook
+     - Description
+     - Link
+   * - Demand forecasting with the Temporal Fusion Transformer
+     - Demonstrate the `TemporalFusionTransformer` model on a small example
+     - `Link <https://pytorch-forecasting.readthedocs.io/en/stable/tutorials/stallion.html>`_
+   * - Interpretable forecasting with N-Beats
+     - Training the `NBeats` model on a generated dataset example
+     - `Link <https://pytorch-forecasting.readthedocs.io/en/stable/tutorials/ar.html>`_
+   * - Autoregressive modelling with DeepAR and DeepVAR
+     - Showcasing the `DeepAR` model or `DeepVAR` on a generated dataset
+     - `Link <https://pytorch-forecasting.readthedocs.io/en/stable/tutorials/deepar.html>`_
+   * - Multivariate quantiles and long horizon forecasting with N-HiTS
+     - Forecasting using the `NHiTS` model
+     - `Link <https://pytorch-forecasting.readthedocs.io/en/stable/tutorials/nhits.html>`_
+
+
+Chapter 3 - Extra Tutorials
+---------------------------
+
+.. _chapter3:
+
+.. list-table::
+   :widths: 25 50 10
+   :header-rows: 1
+
+   * - Notebook
+     - Description
+     - Link
+   * - How to use custom data and implement custom models and metrics
+     - Building your own custom models and metrics using `pytorch-forecasting`
+     - `Link <https://pytorch-forecasting.readthedocs.io/en/stable/tutorials/building.html>`_
+
+
 .. toctree::
    :titlesonly:
-   :maxdepth: 2
+   :maxdepth: 1
 
    tutorials/stallion
    tutorials/ar