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Contents of this guide
This guide will introduce you to creating and managing your own AI models with the EPOS AI platform. You will learn how to store and evaluate your models in the EPOS AI Workbench as well as how to train them using computing infrastructure and, ultimately, how to publish it and use as a Custom Application of the EPISODES Platform. All these steps are further described on the subsequent pages of this documentation:
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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).
We want to express our appreciation for the excellent efforts of the Seisbench developers, and we strongly advise citing their publication:
Woollam, J., Münchmeyer, J., Tilmann, F., Rietbrock, A., Lange, D., Bornstein, T., Diehl, T., Giuchi, C., Haslinger, F., Jozinović, D., Michelini, A., Saul, J., & Soto, H. (2022). SeisBench - A Toolbox for Machine Learning in Seismology. in Seismological Research Letters https://doi.org/10.1785/0220210324
We express our gratitude to Weights & Biases for generously granting us an academic license of their web platform service.