Interface to 'TensorFlow SIG Addons'

'TensorFlow SIG Addons' <> is a repository of community contributions that conform to well-established API patterns, but implement new functionality not available in core 'TensorFlow'. 'TensorFlow' natively supports a large number of operators, layers, metrics, losses, optimizers, and more. However, in a fast moving field like Machine Learning, there are many interesting new developments that cannot be integrated into core 'TensorFlow' (because their broad applicability is not yet clear, or it is mostly used by a smaller subset of the community).


Reference manual

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0.10.0 by Turgut Abdullayev, 4 months ago

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Browse source code at

Authors: Turgut Abdullayev [aut, cre]

Documentation:   PDF Manual  

Apache License 2.0 license

Imports reticulate, tensorflow, rstudioapi, keras, purrr

Suggests knitr, rmarkdown, testthat, dplyr

System requirements: TensorFlow >= 2.0 (

See at CRAN