LAION-AI / LAION-AI/temporal-embedding-aggregation

Test out different CLIP backbones

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research
Dominant language
Python
Stars
32
Forks
4
PR merge metrics
No merged PRs in 30d

Description

Test out:

  • open_clip B/32
  • open_clip H/14

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The issue names no files, tests, or entry points. Start by locating where CLIP backbones are configured and how embeddings are generated, then determine how to run comparisons for open_clip B/32 and H/14. Done is not defined in the issue, so the evaluation criteria and expected output need clarification.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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