Probabilistic Graphical Models with Neural Networks in InferPy
R Caba�as, J C�zar, A Salmer�n…�- International�…, 2020 - proceedings.mlr.press
International Conference on Probabilistic Graphical Models, 2020•proceedings.mlr.press
InferPy is an open-source Python package for variational inference in probabilistic models
containing neural networks. Other similar libraries are often difficult for non-expert users.
InferPy provides a much more compact and simple way to code such models, at the expense
of slightly reducing expressibility and flexibility. The main objective of this package is to
permit its use without having a strong theoretical background or thorough knowledge of the
deep learning frameworks.
containing neural networks. Other similar libraries are often difficult for non-expert users.
InferPy provides a much more compact and simple way to code such models, at the expense
of slightly reducing expressibility and flexibility. The main objective of this package is to
permit its use without having a strong theoretical background or thorough knowledge of the
deep learning frameworks.
Abstract
InferPy is an open-source Python package for variational inference in probabilistic models containing neural networks. Other similar libraries are often difficult for non-expert users. InferPy provides a much more compact and simple way to code such models, at the expense of slightly reducing expressibility and flexibility. The main objective of this package is to permit its use without having a strong theoretical background or thorough knowledge of the deep learning frameworks.
proceedings.mlr.press
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