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Description
Things to demonstrate
- use of frameworks
- pytorch lighting
- keras 3
- tensorflow (precip rediagnosis)
- xgboost (XBT dataset)
- experiment tracking - mlflow
- vis - consider met office etch framework
- zoo - integrate with private hugging face server?
feature ideas:
- create a local site archive, with some download scripts, so people can create a site archive on their laptop.
- also have a "build your own site archive" tutorial
- some sort of archive generator from netcdf or zarr files would be useful
- also generate from an intake catalog
Ideas for UX improvement
- can we change how site archive are imported. it would be nice if the import was always "site_archive" and then your local one was found and imported. That would make the notebooks and other code more portable as you wouldn't have to change the import statements.
- create a template notebook fpr pyearthtools tutorials to give a more consistent feel. We might like to use NOAA tutorial notebook template as it has a nice strcuture from a teaching perspective.
- GPU - have a wrapper that wraps GPU operation for inference, maybe redundant with model
- iterator range should be defined outside the pipeline, not a part of it, so you can define multiple iterators from one pipeline, which would be especially sueful to have train, validate and test iterators from 1 pipeline definition
- how can one get the output from part way through a pipeline?
development questions / tutorial ideas
- how do we use a pipeline to calculate scores for a whole test set, rather than just 1 prediction? How should the iterator be used to do this efficiently in parallel?
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