Test push

README.md

 NuTS - Machine Learning workshop TP
 ===================================
 
-This TP is based on [L. Seydoux SPIN-SC3 course available on GitHub](https://github.com/spin-itn/SPIN-SC3).
+This TP is based on [Leonard Seydoux's SPIN-SC3 course available on GitHub](https://github.com/spin-itn/SPIN-SC3).
 It was adapted for the NuTS workshop that will be held in Lyon in June 2023.
 
 The workshop will be held in a dedicated JupyterHub environment pre-configured for all the users.
@@ -17,6 +17,7 @@ Your file manager is located on the left and your notebook on the right.
 
 Local testing
 -------------
+
 If you want to test these notebooks locally, you will need to have `conda` or `mamba` installed locally on your computer.
 Then clone this repo, install the required dependencies and launch a JupyterLab environment where you can run the notebooks:
 
@@ -32,12 +33,15 @@ conda activate nuts-workshop
 # Start Jupyter
 SEISBENCH_CACHE_ROOT="/absolute/path/to/seisbench/data/" jupyter lab
 ```
+
 __Check list:__
+
 - We encore you to download the Seisbench data in advance:
-    - either the large dataset [s3.glicid.fr/nuts/seisbench-data.zip](https://s3.glicid.fr/nuts/seisbench-data.zip) (6 GB compressed, 29 GB uncompressed)
-    - or a smaller one [s3.glicid.fr/nuts/seisbench-data-small.zip](https://s3.glicid.fr/nuts/seisbench-data-small.zip) (1.5 GB compressed, 5 GB uncompressed)
+  - either the large dataset [s3.glicid.fr/nuts/seisbench-data.zip](https://s3.glicid.fr/nuts/seisbench-data.zip) (6 GB compressed, 29 GB uncompressed)
+  - or a smaller one [s3.glicid.fr/nuts/seisbench-data-small.zip](https://s3.glicid.fr/nuts/seisbench-data-small.zip) (1.5 GB compressed, 5 GB uncompressed)
 
 Then unzip the archive and fill the `SEISBENCH_CACHE_ROOT` environment variable. You can check that the data are available like this:
+
 ```python
 import os
 
@@ -54,6 +58,7 @@ data.metadata.head()
 ```
 
 - Use of a dedicated GPU is not required by highly encouraged. You can check if you GPU is correctly detected by `pytorch` like this:
+
 ```python
 import torch