Conditional guidance diffusion
- Dominant language
- Python
- Stars
- 345
- Forks
- 52
- PR merge metrics
- No merged PRs in 30d
Description
Hi,
Would you consider sharing your code and dataset for classifier-based conditional generation? Your method is different from other existing guidance method for discrete diffusions, thus it would be great if people can try your method!
Thank you!
Contributor guide
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Research direction
The issue body is the only stated entry point and names classifier-based conditional generation for discrete diffusions. First inspect the repository to determine whether this method's code or dataset already has a documented location. Done would mean making the requested code and dataset available, but the issue does not name files, tests, or an implementation scope.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100