MetOffice / MetOffice/ai4c_hackathon

time series tutorial example

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Dominant language
Jupyter Notebook
Stars
2
Forks
3
Avg merge
1m
Merged PRs (30d)
1

Description

Create an example of an RNN or similar for the tutorial, using the Jena dataset.

Useful material
- Kaggle dataset https://www.kaggle.com/datasets/mnassrib/jena-climate/code
- Example code https://www.kaggle.com/code/rahulkate173/jena-climate-dataset-lstm-gru
- https://lightning.ai/lightning-ai/environments/time-series-forecasting-with-pytorch-lightning?section=featured
- https://www.geeksforgeeks.org/data-analysis/time-series-forecasting-using-pytorch/
- https://machinelearningmastery.com/lstm-for-time-series-prediction-in-pytorch/

Contributor guide

No contributing guide indexed for this repository

Research direction

Start by reviewing the linked Jena climate dataset and the referenced RNN, LSTM, GRU, and PyTorch tutorial material. Create a tutorial example using the Jena dataset and an RNN or similar model; done means the example is usable as tutorial material.

Written by the indexing model from the issue text.

Assessment

Tech stack
jupyter-notebook, python, pytorch
Domain
machine-learning
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
35/100

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