openclimatefix / openclimatefix/metnet
[Meta] Implement MetNet-3 Model
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- Python
- Stars
- 305
- Forks
- 64
- Avg merge
- 5d 4h
- Merged PRs (30d)
- 1
Description
We want to implement MetNet-3 (See #54). For this, we need to do:
- #56
- #61
- Embedding for Sparse + Dense layers
- ResNet blocks
- Train script for model that matches training setup detailed in #54
- Topographical embedding layer
- Point-source to grid translator (from weather station to grid)
- Add Loss Scaling
Contributor guide
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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 reading the training setup in #54 and the completed work in #56, then review the remaining dependency in #61. The issue lists the required embedding, ResNet, training, topographical, point-source translation, and loss-scaling components; done means the full checklist is implemented and the model matches the setup described in #54.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100