mcabbott / mcabbott/TensorCast.jl
Exploit `einops` for docs / tests / advertising
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 142
- Forks
- 12
- PR merge metrics
- No merged PRs in 30d
Description
When last I checked this package did everything they do. Would be nice to
- See if they have weird edge cases which make good tests
- Translate some of their tutorials, either just as a source of structure / pretty pictures, or as an explicit guide to learning X if you know Y.
Xref https://github.com/mcabbott/TensorCast.jl/issues/46#issuecomment-1227501423
Their docs: https://einops.rocks/#tutorials
Their paper: https://openreview.net/pdf?id=oapKSVM2bcj
Old notebook here: https://github.com/mcabbott/TensorCast.jl/blob/master/docs/einops.ipynb
Contributor guide
No contributing guide indexed for this repository
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 by comparing TensorCast.jl with the einops tutorials and paper, then inspect docs/einops.ipynb for existing coverage. Look for einops edge cases that could become tests and identify tutorials suitable for translation or an X-if-you-know-Y guide. The issue does not define a specific completion point, so scope and expected output need clarification first.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia, jupyter-notebook
- Domain
- documentation, testing
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100