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Running AI models

On Episodes Platform

On user local machines or HPC clusters

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• Seisbench - an open-source python toolbox for machine learning in seismology,
• ObsPy - an open-source project dedicated to provide a Python framework for processing seismological data,
• Jupyter Notebook and JupyterLab - a web services for interactive computing,
• IPython - a powerful interactive shell,
• PyTorch - an optimized tensor library for deep learning using GPUs and CPUs

Training AI models

Our Platform supports the user with training their own weights for predefined models and even to create their own models. In the first case this could help to improve the quality of the model by training in on data coming from a particular seismic networks (see e.g. Johnson et al. 2021).

To start with training we recommend to use the our HPC clusters which provide enough computing power and access to GPU. The prerequisites are following:

1. Active account on PLGrid Portal. To create an account see the official guide available in English and Polish.
2. Apply for an computing grant.

Acknowledgements

The development of the EPOS AI platform and its integration with the EPISODES Platform was partially funded by the EPOS-PL+ project (No POIR.04.02.00-00-C005/19-00), co-financed by the European Union from the funds of the European Regional Development Fund (ERDF).

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