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DLHub: Model and Data Serving for Science
[article]
2018
arXiv
pre-print
While the Machine Learning (ML) landscape is evolving rapidly, there has been a relative lag in the development of the "learning systems" needed to enable broad adoption. Furthermore, few such systems are designed to support the specialized requirements of scientific ML. Here we present the Data and Learning Hub for science (DLHub), a multi-tenant system that provides both model repository and serving capabilities with a focus on science applications. DLHub addresses two significant
arXiv:1811.11213v1
fatcat:zmmandowgnco7n3b5rqd3nao5q