Recommending a workflow for tiling (deep learning use case)
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 394
- Forks
- 95
- Avg merge
- 4d 3h
- Merged PRs (30d)
- 7
Description
- new notebook similar to Pytorch dataset loading
- bencharking the spatialdata tutorial against saving an intermediate file (Huggingface dataset, HDF5)
- resource for the user to actually prepare a dataset for a large model
Contributor guide
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
Start with the linked Pytorch dataset loading notebook in the spatialdata tutorial. Define a new notebook for tiling and dataset preparation, benchmark the tutorial against saving an intermediate Huggingface dataset or HDF5 file, and provide a resource for preparing data for a large model. Done means all three checklist items are addressed with documented results.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface, python, pytorch
- Domain
- data, documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100