swMATH ID: 21517
Software Authors: Tran, D., Kucukelbir, A., Dieng, A. B., Rudolph, M., Liang, D., Blei, D. M.
Description: Edward: A Library for Probabilistic Modeling, Inference, and Criticism. Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields: Bayesian statistics and machine learning, deep learning, and probabilistic programming.
Homepage: http://edwardlib.org/
Source Code:  https://github.com/blei-lab/edward
Keywords: Artificial Intelligence; Machine Learning; Probabilistic Models; Bayesian Inference; Model Criticism; Neural Networks; Scalable Computation; Probabilistic Programming; arXiv_publication
Related Software: Stan; TensorFlow; Theano; PyMC; ADVI; NUTS; R; Pyro; PyTorch; Adam; sgmcmc; JAGS; BUGS; Church; fastSTRUCTURE; GitHub; ForwardDiff; Python; PRMLT; WinBUGS
Cited in: 15 Documents

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1 Publication describing the Software Year
Edward: A library for probabilistic modeling, inference, and criticism arXiv
Dustin Tran, Alp Kucukelbir, Adji B. Dieng, Maja Rudolph, Dawen Liang, David M. Blei

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