SciML / SciML/DataDrivenDiffEq.jl
Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise
Open
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 430
- Forks
- 58
- Avg merge
- 6h 29m
- Merged PRs (30d)
- 28
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
The issue provides only an arXiv link and names no repository files, tests, entry points, or acceptance criteria. Read the paper and inspect the repository’s existing dynamical-system discovery methods first; clarify the intended Julia API, noise model, validation cases, and completion criteria before implementing.
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
- 15/100