Picture for Javier Cózar

Javier Cózar

InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy

Add code
Sep 04, 2019
Javier Cózar, Rafael Cabañas, Antonio Salmerón, Andrés R. Masegosa
Figure 1 for InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy
Figure 2 for InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy
Figure 3 for InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy
Figure 4 for InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy

InferPy is a Python package for probabilistic modeling with deep neural networks. InferPy defines a user-friendly API which trades-off model complexity with ease of use, unlike other libraries whose focus is on dealing with very general probabilistic models at the cost of having a more complex API. In particular, InferPy allows to define, learn and evaluate general hierarchical probabilistic models containing deep neural networks in a compact and simple way. InferPy is built on top of Tensorflow, Edward2 and Keras.

* 5 pages limit (paper submitted to an original software publication track). This paper briefly describes a scientific software 
Viaarxiv icon
Github IconAccess Paper or Ask Questions
Twitter IconFacebook IconLinkedin IconWhatsapp IconMessenger Icon