Interface to 'TensorFlow Probability'

Interface to 'TensorFlow Probability', a 'Python' library built on 'TensorFlow' that makes it easy to combine probabilistic models and deep learning on modern hardware ('TPU', 'GPU'). 'TensorFlow Probability' includes a wide selection of probability distributions and bijectors, probabilistic layers, variational inference, Markov chain Monte Carlo, and optimizers such as Nelder-Mead, BFGS, and SGLD.


Reference manual

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install.packages("tfprobability") by Sigrid Keydana, 5 months ago

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Browse source code at

Authors: Sigrid Keydana [aut, cre] , Daniel Falbel [ctb] , Kevin Kuo [ctb] , RStudio [cph]

Documentation:   PDF Manual  

Apache License (>= 2.0) license

Imports tensorflow, reticulate, keras, magrittr

Suggests tfdatasets, testthat, knitr, rmarkdown

System requirements: TensorFlow Probability (

Imported by ML2Pvae, deepregression.

See at CRAN