Restructure docs.

docs/examples/index.md

@@ -1,5 +1,5 @@
 ---
-title: Examples
+title: How-to Guides
 ---
 
 This is a collection of notebooks that showcase various applications of

docs/index.md

@@ -21,22 +21,20 @@ relevant benchmarks.
 
 ::cards:: cols=2
 
-- title: Installation
-  content: Steps to install and requirements
-  url: getting-started/installation.md
+- title: Tutorials
+  content: Getting started with continuiti
+  url: tutorials/index.md
 
-- title: Learning Operators
-  content: >
-    Basics of learning function operators
-  url: operators/index.md
-
-- title: Examples
-  content: >
-    Some notebooks using continuiti
+- title: How-to Guides
+  content: Solve your problem
   url: examples/index.md
 
-- title: Browse the API
-  content: Full class documentation
+- title: Background
+  content: Understanding operator learning
+  url: operators/index.md
+
+- title: Reference
+  content: API documentation
   url: api/continuiti/index.md
 
 ::/cards::

docs/tutorials/index.md

@@ -0,0 +1,22 @@
+---
+title: Tutorials
+---
+
+# Tutorials
+
+**continuiti** aims to implement recent advances in learning function operators,
+i.e., mappings of (continuous) functions.
+
+In the following, we will kindly introduce you step-by-step to the concepts of
+operator learning. Let's start with installing **continuiti** and then move on
+to the basics of operator learning with simple examples.
+
+## Installing continuiti
+
+Install the latest version of **continuiti** using pip:
+```
+pip install continuiti
+```
+
+**continuiti** requires Python>=3.9 and is built on top of
+[PyTorch](https://pytorch.org/).

mkdocs.yml

@@ -168,23 +168,22 @@ markdown_extensions:
 
 nav:
   - Home: index.md
-  - Getting Started:
-      - Installation: getting-started/installation.md
-      - First Steps: getting-started/first-steps.md
-  - Learning Operators:
-      - Introduction: operators/index.md
+  - Tutorials:
+      - First Steps: tutorials/index.md
       - Functions: examples/functions.ipynb
       - Training: examples/training.ipynb
-      - Architectures: operators/architectures.md
-  - Examples:
+      - FNO: examples/fno.ipynb
+  - How-to Guides:
       - Time Series: examples/timeseries.ipynb
       - Super-resolution: examples/superresolution.ipynb
       - Physics-informed: examples/physicsinformed.ipynb
-      - FNO: examples/fno.ipynb
       - Meshes: examples/meshes.ipynb
       - Self-supervised: examples/selfsupervised.ipynb
-  - Benchmarks: benchmarks/index.md
-  - Code:
+  - Background:
+      - Operator Learning: operators/index.md
+      - Architectures: operators/architectures.md
+  - Reference:
       - API: api/continuiti/
       - Changelog: CHANGELOG.md
       - Contributing: CONTRIBUTING.md
+  - Benchmarks: benchmarks/index.md

src/continuiti/__init__.py

@@ -17,6 +17,10 @@
   content: Discretization utilities like samplers.
   url: discrete/index.md
 
+- title: Networks
+  content: Neural network implementations.
+  url: networks/index.md
+
 - title: Operators
   content: Neural operator implementations.
   url: operators/index.md
@@ -41,19 +45,20 @@
     "benchmarks",
     "data",
     "discrete",
+    "networks",
     "operators",
     "pde",
     "trainer",
     "transforms",
-    "Trainer",
 ]
 
 from . import benchmarks
 from . import data
 from . import discrete
+from . import networks
 from . import operators
 from . import pde
 from . import trainer
 from . import transforms
 
-from .trainer import Trainer
+from .trainer import Trainer  # noqa