Clean up and rename.

README.md

@@ -1,6 +1,6 @@
 <div align="center">
 
-<img alt="Continuity" src="https://aai-institute.github.io/Continuity/img/icon.png" width="100">
+<img alt="Continuity" src="https://aai-institute.github.io/continuity/img/icon.png" width="100">
 
 <h1>Continuity</h1>
 
@@ -9,11 +9,11 @@ Learning function operators with neural networks.
 <a href="https://pytorch.org/get-started/locally/">
   <img alt="PyTorch" src="https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch&logoColor=white">
 </a>
-<a href="https://aai-institute.github.io/Continuity/">
+<a href="https://aai-institute.github.io/continuity/">
   <img alt="Documentation" src="https://img.shields.io/badge/Documentation-blue">
 </a>
-<a href="https://github.com/aai-institute/Continuity/actions/workflows/test.yml">
-  <img alt="Test" src="https://github.com/aai-institute/Continuity/actions/workflows/test.yml/badge.svg">
+<a href="https://github.com/aai-institute/continuity/actions/workflows/test.yml">
+  <img alt="Test" src="https://github.com/aai-institute/continuity/actions/workflows/test.yml/badge.svg">
 </a>
 </div>
 
@@ -25,20 +25,20 @@ examples and benchmarks.
 ## Installation
 Clone the repository and install the package using pip.
 ```
-git clone https://github.com/aai-institute/Continuity.git
-cd Continuity
+git clone https://github.com/aai-institute/continuity.git
+cd continuity
 pip install -e .
 ```
 
 ## Usage
-Our [Documentation](https://aai-institute.github.io/Continuity/) contains a verbose introduction to operator learning, a collection of examples using Continuity, and a class documentation.
+Our [Documentation](https://aai-institute.github.io/continuity/) contains a verbose introduction to operator learning, a collection of examples using Continuity, and a class documentation.
 
 In general, the operator syntax in Continuity is
 ```python
 v = operator(x, u(x), y)
 ```
 mapping a function `u` (evaluated at `x`) to function `v` (evaluated in `y`).
-For more details, see [Learning Operators](https://aai-institute.github.io/Continuity/operators/index.html).
+For more details, see [Learning Operators](https://aai-institute.github.io/continuity/operators/index.html).
 
 ## Contributing
 If you find a bug or have a feature request, please open an issue on GitHub. If

docs/getting-started/installation.md

@@ -9,8 +9,8 @@ alias:
 
 To install the latest development version use:
 ```
-git clone https://github.com/aai-institute/Continuity.git
-cd Continuity
+git clone https://github.com/aai-institute/continuity.git
+cd continuity
 pip install -e .
 ```
 

docs/index.md

@@ -4,7 +4,7 @@ title: Home
 
 <div align="center">
 
-<img alt="Continuity" src="https://aai-institute.github.io/Continuity/img/icon.png" width="100">
+<img alt="Continuity" src="https://aai-institute.github.io/continuity/img/icon.png" width="100">
 
 <h1>Continuity</h1>
 

docs/operators/index.md

@@ -22,7 +22,7 @@ $d$-dimensional input to $c$ output *channels*.
 
 An **operator**
 $$
-G: u \to v
+G: u \mapsto v
 $$
 maps $u$ to a function $v: Y \subset \mathbb{R}^{p} \to \mathbb{R}^{q}$.
 
@@ -56,7 +56,7 @@ points and write $\mathbf{x} = (x_i)_i$ and $\mathbf{u} = (u(x_i))_i$.
 This finite dimensional representation is fed into the neural operator.
 
 The mapped function $v = G(u)$, on the other hand, is also represented by
-function evaluations only. Let $y_j \in Y,\ 1 \leq j \leq m,$ be a set of
+function evaluations only. Let $y_j \in Y,\ 1 \leq j \leq m,$ be a finite set of
 *evaluation points* (or *query points*) in the input domain $Y$ of $v$ and
 $\mathbf{y} = (y_j)_j$.
 Then, the output values $\mathbf{v} = (v(y_j))_j$ are approximated by the neural

mkdocs.yml

@@ -1,8 +1,8 @@
 site_name: "Continuity"
 site_dir: "docs_build"
-site_url: "https://aai-institute.github.io/Continuity/"
-repo_name: "aai-institute/Continuity"
-repo_url: "https://github.com/aai-institute/Continuity"
+site_url: "https://aai-institute.github.io/continuity/"
+repo_name: "aai-institute/continuity"
+repo_url: "https://github.com/aai-institute/continuity"
 copyright: "Copyright © appliedAI Institute for Europe gGmbH"
 remote_branch: gh-pages
 
@@ -132,9 +132,9 @@ extra:
     default: stable
   social:
     - icon: fontawesome/brands/github
-      link: https://github.com/aai-institute/Continuity
+      link: https://github.com/aai-institute/continuity
     # - icon: fontawesome/brands/python
-    #   link: https://pypi.org/project/Continuity/
+    #   link: https://pypi.org/project/continuity/
     - icon: fontawesome/brands/twitter
       link: https://twitter.com/appliedAI_gGmbH
     - icon: fontawesome/brands/linkedin

setup.cfg

@@ -12,11 +12,11 @@ license = GNU GPL v3.0
 license_files = LICENSE.txt
 long_description = file: README.md
 long_description_content_type = text/markdown; charset=UTF-8; variant=GFM
-url = https://github.com/aai-institute/Continuity.git
+url = https://github.com/aai-institute/continuity.git
 # Add here related links, for example:
 project_urls =
-    Documentation = https://github.com/aai-institute/Continuity.git
-    Source = https://github.com/aai-institute/Continuity.git
+    Documentation = https://aai-institute.github.io/continuity/
+    Source = https://github.com/aai-institute/continuity.git
 
 # Change if running only on Windows, Mac or Linux (comma-separated)
 platforms = any

src/continuity/data/__init__.py

@@ -19,8 +19,8 @@ def get_device() -> torch.device:
     """
     device = torch.device("cpu")
 
-    # if torch.backends.mps.is_available():
-    #     device = torch.device("mps")
+    if torch.backends.mps.is_available():
+        device = torch.device("mps")
 
     if torch.cuda.is_available():
         device = torch.device("cuda")

src/continuity/operators/__init__.py

@@ -11,8 +11,16 @@
 ```
 """
 
+from .common import DeepResidualNetwork, NeuralNetworkKernel
 from .operator import Operator
 from .deeponet import DeepONet
 from .neuraloperator import ContinuousConvolution, NeuralOperator
 
-__all__ = ["Operator", "DeepONet", "ContinuousConvolution", "NeuralOperator"]
+__all__ = [
+    "Operator",
+    "DeepONet",
+    "ContinuousConvolution",
+    "NeuralOperator",
+    "DeepResidualNetwork",
+    "NeuralNetworkKernel",
+]