WebThe graphs in hippynn are divided into two conceptual domains, that of the model, and that of the loss. One reason for this is to cleanly separate what the model predicts from the … WebWhat is hippynn? hippynn is a python library for machine learning on atomistic systems. We aim to provide high-performance modular design so that different components can be re-used, extended, or added to. You can find more information at the hippynn Features page. The development home is located at the hippynn github repository.

hippynn · PyPI

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experiment package — hippynn 0.0.1 documentation

WebUnits in hippynn . For the most part, hippynn is designed to operate transparently with respect to units, meaning that values that have units should be specified in the units of the dataset that is being examined.. The primary example of this is the sensitivity functions. Network hyperparameters often involve a hard distance cutoff for local interactions. WebUnits in hippynn . For the most part, hippynn is designed to operate transparently with respect to units, meaning that values that have units should be specified in the units of … the albion rooftop south melbourne