Data scientist with expertise in interpretable machine learning and deep learning. Innovative solutions to address complex interdisciplinary problems.
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VAE-ENSO-emulator
VAE-ENSO-emulator PublicEfficient inference and learning of a generative model for ENSO predictions from large multi-model datasets
Jupyter Notebook
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VAE-project
VAE-project PublicImplementation of a variational autoencoder (VAE) for climate data modeling and prediction.
Python 1
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VAE-precip-predict
VAE-precip-predict PublicSeasonal-level prediction of climate data with a variational autoencoder
Jupyter Notebook 1
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VAE-SSP
VAE-SSP PublicDecadal prediction of climate data subject to different GHG emission scenarios using a variational autoencoder
Jupyter Notebook
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