LAION-AI / LAION-AI/temporal-embedding-aggregation
normalize features during training + inference
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Nobody has claimed this yet.
research
- Dominant language
- Python
- Stars
- 32
- Forks
- 4
- PR merge metrics
- No merged PRs in 30d
Description
This issue has no description.
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names normalization during training and inference but provides no files, tests, or entry points. First map the training and inference paths in the repository, then clarify the normalization behavior and add tests showing consistent results in both paths.
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