Setup

The tutorial is designed to run in a browser-based GPU environment. The recommended option is Google Colab with a GPU runtime. If the conference provides a cloud GPU environment, use that access first and fall back to Colab if needed.

What you need

  • a laptop with a modern web browser
  • a stable internet connection
  • a Google account for Colab access
  • working knowledge of Python and notebooks
  • familiarity with pandas or NumPy and basic machine learning concepts
  • basic command line familiarity is recommended

Using Google Colab

  1. Open one of the tutorial notebook pages from this site.
  2. Click the Open in Colab badge.
  3. Sign in with your Google account if prompted.
  4. In Colab, go to Runtime -> Change runtime type.
  5. Set Hardware accelerator to GPU.
  6. Run the setup cell at the top of the notebook before running the rest of the tutorial.
  7. Save your own working copy with File -> Save a copy in Drive if you want to keep your edits.

Notes for attendees

  • If a package install fails, rerun the setup cell and restart the runtime.
  • GPU availability in Colab can vary by account and usage limits.
  • The tutorial materials are notebook-based, so no local installation is required for the core hands-on session.
  • The notebooks are intended to run in a reproducible, cloud-ready environment with browser access to GPU resources.
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