Scripts README 🚧

Whats in this folder?

Script contains full scripts that reproduce code that can be useful for others. In particular

• example_scriots: example full scripts showcasing full experiment, model, training and evaluating.

• paper_scripts: Contains scripts that reproduce papers, in LION format.

How to write a good script

WIP. Make template?

Format:

1. Section explaning what the code does, in text. 1 Paragprah minimum.

2. Write script/code. Please use as much commenting as possible. A 1/1 ratio of code/comments is desirable

• Example scripts README 🚧
  • EXAMPLE SCRIPTS
    • LPD.py
    • Noise2Inverse.py
    • Equivariant imaging
• Paper scripts README
  • Paper scripts
    • Continous Learned Primal Dual
    • Padis-Reproduction
  • Continuous Learned Primal Dual README 🚧
    • Continous Learned Primal Dual paper scripts
  • PaDIS-Reproduction README
    • PaDIS LIDC experiments
      • Contents
      • Repository map
      • Reproduction procedure
        • 1. Install LION
        • 2. Download and process LIDC-IDRI
        • 3. Build reusable training caches
        • 4. Run training through final reporting
        • 5. Check the final products
      • Backend requirements
      • Data layout and storage
      • Training models and checkpoints
        • Diffusion training defaults
        • PnP defaults
        • Resuming and W&B
      • Notes and limitations
      • Reconstruction methods
      • Reconstruction experiments
      • Tuned reconstruction defaults
        • Re-running the selection procedure
      • Manual reconstruction and matrix inspection
        • Colab/manual GCP
        • Inspecting the matrix directly
      • Expected reconstruction runtimes
      • Outputs, restart state, and reporting
• Hackathon scripts
  • Synerby26 hackathon README 🚧
    • Hackathon scripts: synerby26
      • Tutorial Structure