lightly-ai / lightly-ai/lightly

Update I-JEPA example to use timm

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Description

I-JEPA is compatible with timm since https://github.com/lightly-ai/lightly/pull/1612

We should update the I-JEPA examples to use timm instead of torchvision:

- [ ] Update `examples/pytorch/ijepa.py`
- [ ] Update `examples/pytorch_lightning/ijepa.py`
- [ ] Update `examples/pytorch_lightning_distributed/ijepa.py`

Contributor guide

Open the contributing guide

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

Start by reading the three listed I-JEPA examples and the linked pull request 1612 to understand the timm compatibility. Update examples/pytorch/ijepa.py, examples/pytorch_lightning/ijepa.py, and examples/pytorch_lightning_distributed/ijepa.py to use timm instead of torchvision, then run the examples or their available checks to confirm they still work.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
computer-vision, machine-learning
Issue type
Refactor
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Clearly specified
Newbie friendliness
45/100

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