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tfprobability: 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.
| Version: |
0.15.1 |
| Imports: |
tensorflow (≥ 2.4.0), reticulate, keras, magrittr |
| Suggests: |
tfdatasets, testthat (≥ 2.1.0), knitr, rmarkdown |
| Published: |
2022-09-01 |
| Author: |
Tomasz Kalinowski [ctb, cre],
Sigrid Keydana [aut],
Daniel Falbel [ctb],
Kevin Kuo  [ctb],
RStudio [cph] |
| Maintainer: |
Tomasz Kalinowski <tomasz.kalinowski at rstudio.com> |
| BugReports: |
https://github.com/rstudio/tfprobability/issues |
| License: |
Apache License (≥ 2.0) |
| URL: |
https://github.com/rstudio/tfprobability |
| NeedsCompilation: |
no |
| SystemRequirements: |
TensorFlow Probability
(https://www.tensorflow.org/probability) |
| Materials: |
README NEWS |
| CRAN checks: |
tfprobability results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=tfprobability
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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