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.

Cabañas, R., Salmerón, A., & Masegosa, A. R. (2019). InferPy: Probabilistic modeling with Tensorflow made easy. Knowledge-Based Systems, 168, 25-27.

Cozar J., Cabañas, R., Salmerón, A., & Masegosa, A. R. (2020). InferPy: Deep Probabilistic modeling with Tensorflow made easy. Accepted for publication in Neurocomputing.

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