mllam / neural-lam
Research Software for Neural Weather Prediction for Limited Area Modeling
Why this job: works in the areas we cover, but does not say which job it does
What it does
Neural-LAM is a repository of graph-based neural weather prediction models for Limited Area Modeling (LAM). Also global forecasting is possible, but currently on a different branch (planned to be merged with main). The code uses PyTorch and PyTorch Lightning. Graph Neural Networks are implemented using PyG and logging is set up through Weights & Biases.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit yesterday
- Stars
- 309
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.7.0
- Released 31 days ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 26
- Last 90 days
- Issues
- 71% closed
- 98 still open
- Pull requests
- 199 merged
- 83 waiting
- Releases
- 7
- 3 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 100%
Topics
- gsoc
- gsoc-2026
- machine-learning
- weather
Project record
- JobOther AI tools
- StatusListed
- Commits212
- Forks314
- Watching9
- Stars in 28 days+8
- CreatedSep 24, 2023
- First seen by usNov 7, 2026
- CheckedNov 12, 2026