JuliaDiff / JuliaDiff/DifferentiationInterface.jl
Tests on generic structs
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downstream
test
- Dominant language
- Julia
- Stars
- 313
- Forks
- 35
- PR merge metrics
- No merged PRs in 30d
Description
What kind of structs should we add to enable deep learning applications?
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
The issue names no file, test, or entry point; start by reading the 13-comment discussion and surveying the repository's existing generic-struct test coverage. Before coding, establish which deep-learning use cases and struct shapes are in scope; done means the agreed structs are covered by tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia, machine-learning
- Domain
- machine-learning, testing-qa
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100