https://github.com/guildai/guildai-applied

https://github.com/guildai/guildai-applied

Last synced: about 2 months ago
JSON representation

• Host: GitHub
• URL: https://github.com/guildai/guildai-applied
• Owner: guildai
• License: apache-2.0
• Created: 2023-05-08T18:35:31.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-07-31T18:41:52.000Z (over 1 year ago)
• Last Synced: 2023-07-31T21:07:34.165Z (over 1 year ago)
• Language: Jupyter Notebook
• Size: 14.6 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
# Guild Applied

- Apply Guild to real-world projects

- Prefer projects that benefit from experimentation and that have

  large, active contribution communities

## Projects

### Style transfer

Source code: [style-transfer](style-transfer)

## Project candidates

### ControlNet

https://github.com/lllyasviel/ControlNet

### W&B Table Collab

This is an end-to-end data prep and training example but with

W&B. This can serve as an example of an 'applied' scenario. What does

the equivalent look like in Guild?

https://colab.research.google.com/github/wandb/examples/blob/master/colabs/datasets-predictions/Image_Classification_with_Tables.ipynb