https://github.com/guildai/guildai-applied
https://github.com/guildai/guildai-applied
Last synced: 3 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 (about 3 years ago)
- Default Branch: main
- Last Pushed: 2023-07-31T18:41:52.000Z (almost 3 years ago)
- Last Synced: 2025-01-17T15:15:36.796Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 14.6 MB
- Stars: 0
- Watchers: 1
- 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