♻️ ⚡️ Resolve review comments and change theme

README.md

@@ -62,7 +62,7 @@ Details can be found [here](docs/deploy_on_aml.md).
 
 ## Licensing
 
-[MIT License](https://github.com/microsoft/InnerEye-DeepLearning/blob/main/LICENSE)
+[MIT License](/LICENSE)
 
 **You are responsible for the performance, the necessary testing, and if needed any regulatory clearance for
  any of the models produced by this toolbox.**

docs/source/conf.py

@@ -62,7 +62,7 @@
 # The theme to use for HTML and HTML Help pages. See the documentation for
 # a list of builtin themes.
 #
-html_theme = 'sphinx_rtd_theme'
+html_theme = 'furo'
 
 # Add any paths that contain custom static files (such as style sheets) here,
 # relative to this directory. They are copied after the builtin static files,
@@ -102,7 +102,7 @@ def replace_in_file(filepath: Path, original_str: str, replace_str: str) -> None
 repository_root = sphinx_root.parent.parent
 
 # Symlink to all files that are in the head of the repository
-files_to_symlink = ["CHANGELOG.md"]
+files_to_symlink = ["CHANGELOG.md", "InnerEye/"]
 for file_to_symlink in files_to_symlink:
  symlink_path = docs_path / file_to_symlink
  if not symlink_path.exists():

docs/source/docs/WSL.md

@@ -14,8 +14,8 @@ Subsystem for Linux (WSL2) or a plain Ubuntu Linux box.
 If you are running a Windows box with a GPU, please follow the documentation
 [here](https://docs.microsoft.com/en-us/windows/win32/direct3d12/gpu-cuda-in-wsl) to access the GPU from within WSL2.
 
-You can also find a video walkthrough of WSL2+CUDA installation
-[here](https://channel9.msdn.com/Shows/Tabs-vs-Spaces/GPU-Accelerated-Machine-Learning-with-WSL-2)
+There is also a video walkthrough of WSL2+CUDA installation:
+[GPU Accelerated Machine Learning with WSL 2](https://channel9.msdn.com/Shows/Tabs-vs-Spaces/GPU-Accelerated-Machine-Learning-with-WSL-2).
 
 ## Install WSL2