MetOffice / MetOffice/ai4c_hackathon
Exploration notebook for CP4A
Open
- Dominant language
- Jupyter Notebook
- Stars
- 2
- Forks
- 3
- Avg merge
- 1m
- Merged PRs (30d)
- 1
Description
- [ ] Access CP:4A data
- [ ] basic vis
- [ ] distributions of data
- [ ] autoencoder with data?
- [ ] pyearthtools accessor
- [ ] pytorch dataset
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by obtaining access to CP4A data and clarifying the scope of each checklist item. The work is complete when the notebook covers data access, basic visualizations and distributions, and the proposed autoencoder, pyearthtools accessor, and PyTorch dataset tasks are resolved.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python, pytorch
- Domain
- data, data-visualization, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100