InferPy is a Python package for probabilistic modeling with deep neural networks. It defines a user-friendly API that 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, this package 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 Probability and Keras.
@article{arxiv.1908.11161,
title = {InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy},
author = {Javier Cózar and Rafael Cabañas and Antonio Salmerón and Andrés R. Masegosa},
journal= {arXiv preprint arXiv:1908.11161},
year = {2020}
}
Comments
5 pages limit (paper submitted to an original software publication track). This paper briefly describes a scientific software