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Adding nowcasting to deepmind-research repo.
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## Projects
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* [Skilful precipitation nowcasting using deep generative models of radar](nowcasting), Nature 2021
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* [Compute-Aided Design as Language](cadl)
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* [Encoders and ensembles for continual learning](continual_learning)
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* [Towards mental time travel: a hierarchical memory for reinforcement learning agents](hierarchical_transformer_memory)
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# Skillful Precipitation Nowcasting Using Deep Generative Models of Radar
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This repository is a supplement to "Skillful Precipitation Nowcasting using Deep
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Generative Models of Radar" and provides necessary code for loading data from a
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large scale nowcasting dataset and obtaining predictions with the pretrained
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model.
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Please see the Colab notebook for further details:
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[](https://colab.research.google.com/github/deepmind/deepmind-research/nowcasting/blob/master/Open_sourced_dataset_and_model_snapshot_for_precipitation_nowcasting.ipynb)
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## License
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The Colab notebook is licensed under the Apache License, Version 2.0. The
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associated model snapshots are made available for use under the terms of the
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[Creative Commons Attribution 4.0 International License][cc-by].
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The provided post-processed nowcasting dataset is licensed under a
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[Creative Commons Attribution 4.0 International License][cc-by] and it contains
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public sector information licensed by the Met Office under the
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[Open Government Licence v3.0][open-govt-license].
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## Citation
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If you use this work, consider citing our paper:
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```latex
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@article{ravuris2021skillful,
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author={Suman Ravuri and Karel Lenc and Matthew Willson and Dmitry Kangin and Remi Lam and Piotr Mirowski and Megan Fitzsimons and Maria Athanassiadou and Sheleem Kashem and Sam Madge and Rachel Prudden Amol Mandhane and Aidan Clark and Andrew Brock and Karen Simonyan and Raia Hadsell and Niall Robinson Ellen Clancy and Alberto Arribas† and Shakir Mohamed},
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title={Skillful Precipitation Nowcasting using Deep Generative Models of Radar},
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journal={},
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year={2021}
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}
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```
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[cc-by]: http://creativecommons.org/licenses/by/4.0/
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[open-govt-license]: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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