dlmbl 2023 archive (#44)

* final version of dlmbl 2023 demo

* fix typos

examples/demo_dlmbl/README.md

@@ -0,0 +1,48 @@
+# Exercise 4: Image translation
+
+This demo script was developed for the DL@MBL 2023 course by Ziwen Liu and Shalin Mehta, with many inputs and bugfixes by [Morgan Schwartz](https://github.com/msschwartz21), [Caroline Malin-Mayor](https://github.com/cmalinmayor), and [Peter Park](https://github.com/peterhpark).
+
+
+
+
+## Setup
+
+Make sure that you are inside of the `image_translation` folder by using the `cd` command to change directories if needed.
+
+Make sure that you can use mamba to switch environments.
+
+```bash
+mamba init
+```
+
+**Close your shell, and login again.** 
+
+Run the setup script to create the environment for this exercise and download the dataset.
+```bash
+sh setup.sh
+```
+Activate your environment
+```bash
+mamba activate 04_image_translation
+```
+
+## Use vscode
+
+Install vscode, install jupyter extension inside vscode, and setup [cell mode](https://code.visualstudio.com/docs/python/jupyter-support-py). Open [solution.py](solution.py) and run the script interactively.
+
+## Use Jupyter Notebook
+
+The matching exercise and solution notebooks can be found [here](https://github.com/dlmbl/image_translation/tree/28e0e515b4a8ad3f392a69c8341e105f730d204f) on the course repository.
+
+Launch a jupyter environment
+
+```
+jupyter notebook
+```
+
+...and continue with the instructions in the notebook.
+
+If 04_image_translation is not available as a kernel in jupyter, run
+```
+python -m ipykernel install --user --name=04_image_translation
+```