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MLJC Autoencoders Workshop

This repository contains the code for the ML Journal Club workshop on August 6, 2025. The goal is to compare autoencoders and EOFs for dimensionality reduction.

  • Introduction to EOFs (also called PCA): Link
  • Introduction to autoencoders: Link

Setup

  1. Start a new codespace via Code -> Codespaces -> Create codespace on main.
  2. Wait for 3-4 minutes until all packages are automatically installed.
  3. Reload your browser.
  4. Open notebook.ipynb.
  5. Click Select Kernel -> Python Environments -> default

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Autoencoders vs EOFs — ML Journal Club Workshop, UW Atmospheric and Climate Science

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