CRAN/E | tfprobability

tfprobability

Interface to 'TensorFlow Probability'

Installation

About

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.

github.com/rstudio/tfprobability
System requirements TensorFlow Probability (https://www.tensorflow.org/probability)
Bug report File report

Key Metrics

Version 0.15.1
Published 2022-09-01 606 days ago
Needs compilation? no
License Apache License (≥ 2.0)
CRAN checks tfprobability results

Downloads

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Maintainer

Maintainer

Tomasz Kalinowski

tomasz.kalinowski@rstudio.com

Authors

Tomasz Kalinowski

ctb / cre

Sigrid Keydana

aut

Daniel Falbel

ctb

Kevin Kuo

ctb

RStudio

cph

Material

README
NEWS
Reference manual
Package source

Vignettes

Multi-level modeling with Hamiltonian Monte Carlo
Uncertainty estimates with layer_dense_variational

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

tfprobability archive

Imports

tensorflow ≥ 2.4.0
reticulate
keras
magrittr

Suggests

tfdatasets
testthat ≥ 2.1.0
knitr
rmarkdown

Reverse Depends

pareg

Reverse Imports

deepregression
ML2Pvae