You can run this project either locally on the TeoGPU cluster (recommended) or in Google Colab.

✅ Best for fast training with direct access to local files

1. Clone the project or access it from your user folder.

git clone https://github.com/andremicci/exam1_2024.git

2. Open the project folder in VSCode.
3. Set the Jupyter kernel to the pre-configured Conda environment: amilici_exam

1. Save or clone the project inside your Google Drive.
2. Go to Task*.ipynb notebook
3. Remove # from the following lines at the top of the notebooks to mount your Drive and navigate to the project folder:

# Mount Google Drive
from google.colab import drive
drive.mount('/content/drive')

# Add project folder to Python path
import sys
sys.path.append('/content/drive/MyDrive/ml_exam/quench_project')  #YOUR PATH TO THE PROJECT IN GOOGLE DRIVE

# Change directory to the project
%cd /content/drive/MyDrive/ml_exam/quench_project

# Check current path (optional)
!pwd

# Specify the input file path if needed
file = ''  # YOUR PATH TO THE DATASET IN GOOGLE DRIVE