SciML / SciML/NeuralOperators.jl
Deep Equilibrium Based Neural Operators for Steady-State PDEs
Open
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 41
- Forks
- 15
- Avg merge
- 13h 14m
- Merged PRs (30d)
- 12
Description
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 by reading the linked arXiv paper and the DeepEquilibriumNetworks.jl repository to understand the proposed method and available Julia interfaces. Determine how the implementation should fit within NeuralOperators.jl; done means a working implementation of the paper's deep-equilibrium neural operator in this repository.
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
- 20/100