Merge branch 'main' into develop

README.md

@@ -1,19 +1,31 @@
 # CODES Benchmark
 
 [![codecov](https://codecov.io/github/robin-janssen/CODES-Benchmark/branch/develop/graph/badge.svg?token=TNF9ISCAJK)](https://codecov.io/github/robin-janssen/CODES-Benchmark)
-
 ![Static Badge](https://img.shields.io/badge/license-GPLv3-blue)
 
 
 ## Benchmarking Coupled ODE Surrogates
 
 This repo aims to provide a way of benchmarking surrogate models for coupled ODE systems, as can be found in the context of chemical reaction networks. 
 
-Full documentation can be found on the new [website](https://robin-janssen.github.io/CODES-Benchmark/).
+<img src="docs/_static/favicon-96x96.png" alt="CODES Logo" width="20"/> 
+
+The main documentation can be found on the [CODES website](https://codes-docs.web.app/index.html).
+
+<picture>
+  <!-- Dark mode SVG -->
+  <source media="(prefers-color-scheme: dark)" srcset="docs/_static/book-solid-white.svg">
+  <!-- Light mode SVG -->
+  <source media="(prefers-color-scheme: light)" srcset="docs/_static/book-solid.svg">
+  <!-- Fallback image (light mode by default) -->
+  <img width="20" alt="CODES API Docs" src="docs/_static/book-solid.svg">
+</picture> 
+
+The technical API documentation is hosted on this [GitHub Page](https://robin-janssen.github.io/CODES-Benchmark/).
 
 ## Motivation
 
-There are many efforts to use machine learning models ("surrogates") to replace the costly numerics required involved in solving coupled ODEs. But for the end user, it is not obvious how to choose the right surrogate for a given task. Usually, the best choice depends on both the dataset and the target application.
+There are many efforts to use machine learning models ("surrogates") to replace the costly numerics involved in solving coupled ODEs. But for the end user, it is not obvious how to choose the right surrogate for a given task. Usually, the best choice depends on both the dataset and the target application.
 
 Dataset specifics - how "complex" is the dataset?
 - How many samples are there?
@@ -147,4 +159,4 @@ pip install -r requirements.txt
 
 The installation is now complete. To be able to run and evaluate the benchmark, you need to first set up a configuration YAML file. There is one provided, but it should be configured. For more information, check the [configuration page](https://robin-janssen.github.io/CODES-Benchmark/documentation.html#config). There, we also offer an interactive Config-Generator tool with some explanations to help you set up your benchmark.
 
-You can also add your own datasets and models to the benchmark to evaluate them against each other or some of our baseline models. For more information on how to do this, please refer to the [documentation](https://robin-janssen.github.io/CODES-Benchmark/documentation.html).
+You can also add your own datasets and models to the benchmark to evaluate them against each other or some of our baseline models. For more information on how to do this, please refer to the [documentation](https://robin-janssen.github.io/CODES-Benchmark/documentation.html).

docs/conf.py

@@ -40,7 +40,7 @@
         },
         {
             "name": "CODES Docs",
-            "url": "https://immi000.github.io/CODES-Benchmark-Docs/index.html",
+            "url": "https://codes-docs.web.app",
             "icon": "_static/favicon-96x96.png",  # Make sure this is the correct path to the favicon
             "type": "local",
         },