This repository is a running list of tutorials showcasing how Datmo helps users working with quantitative modeling projects (data science, machine learning, and artificial intelligence).

Prominent features addressed in the tutorials are as follows:

• Experiment logging

  • snapshot create - Record fully comprehensive project state as a single unit

• Project visualization

  • snapshot ls - View all snapshots in the project
  • snapshot diff - Compare differences/changes between two snapshots
  • snapshot inspect - See in-depth info about a single snapshot

• State recreation & reproducibility

  • snapshot checkout - Revert the project state to the version from a different snapshot
  • run - Run a containerized task for easy environment handling

• Environment Handling

  • environment setup - Use one of our preconfigured environments, or bring your own!
  • notebook - A streamlined way to spin up a Jupyter Notebook
  • rstudio - A streamlined way to spin up RStudio
  • jupyterlab - A streamlined way to spin up JupyterLab
  • terminal - A streamlined way to enter a terminal inside the container

For smaller examples with more isolated datmo feature demonstration, you can view the official core repository here.