mila_tools aims to reduce the overhead to deploy experiments on mila clusters.

It's important to reduce cognitive overload for the researcher measured as seconds-to-first-tensorboard datapoint

Right now it's responsabilities cover:

1. Deployment on servers
2. Handling of Sweeps
3. Tracking of hyperparameters
4. Code versioning
5. Notifications
6. Wandb integration.

Example:

1. python3 -m pip install virtualenv
2. python3 -m virtualenv venv --python=python3.8
3. source venv/bin/activate
4. python -m pip install -r requirements.txt # tools requirements
5. cd examples/
6. git init .
7. git remote add origin https://github.com/user/repo.git
8. Add mila pkey to: https://github.com/settings/keys
9. python -m pip install jax jaxlib # Local requirements
10. python -m examples.mnist_classifier