SciML / SciML/DataDrivenDiffEq.jl
BACON
Open
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 430
- Forks
- 58
- Avg merge
- 6h 29m
- Merged PRs (30d)
- 28
Description
Data-Driven Discovery of Physical Laws
https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1551-6708.1981.tb00869.x
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 paper, “Data-Driven Discovery of Physical Laws,” and compare its BACON method with the repository’s existing data-driven modeling scope. The issue does not name files, entry points, tests, or acceptance criteria, so define those and the expected discovery behavior before implementation.
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