JuliaArrays / JuliaArrays/DualArrays.jl
DualArrays.jl + Lux.jl?
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- Dominant language
- Julia
- Stars
- 1
- Forks
- 1
- PR merge metrics
- No merged PRs in 30d
Description
Can we use DualArrays.jl to compute gradients of neural networks as defined in Lux?
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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 examining DualArrays.jl's dual-number array behavior and Lux.jl's neural-network gradient path. Determine whether the two packages can work together for gradient computation, and document the compatibility result or the integration work required.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100