NERSC/sc23-dl-tutorial
SC23 Deep Learning at Scale Tutorial Material
This project provides practical examples and code for training deep learning models at scale, specifically for advanced weather forecasting. It takes historical weather data, trains a vision transformer model, and outputs a highly accurate forecasting model. This material is designed for scientists, researchers, and engineers working with large-scale scientific datasets who need to leverage high-performance computing resources.
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Use this if you are a scientist or researcher looking to train deep learning models on large scientific datasets using supercomputing resources like NERSC's Perlmutter.
Not ideal if you are a beginner looking for a basic introduction to deep learning or if you don't have access to high-performance computing environments.
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Sep 16, 2024
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