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(DESERTED) Moving towards https://github.com/rstudio/tensorflow

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Statistics on rflow

Number of watchers on Github 64
Number of open issues 0
Average time to close an issue 3 months
Main language R
Open pull requests 0+
Closed pull requests 0+
Last commit over 4 years ago
Repo Created over 4 years ago
Repo Last Updated over 2 years ago
Size 72 KB
Organization / Authorterrytangyuan
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rflow - Pipeline Interface for TensorFlow in R

This is an experimental and work-in-progress R library for easily using Google TensorFlow, inspired by Google skflow package. This package aims to help R users to easily build popular deep learning models as well as customized models with flexible and desired deep architectures. Note that the style of the way the package has been developed is new and experimental. Any feedback would be appreciated.


Python Packages (get pip from here first)

  • sklearn (install via pip install -U scikit-learn)
  • pandas (install via pip install pandas)
  • tensorflow (instruction here)
  • skflow (install via pip install git+git://github.com/google/skflow.git)

R Packages

  • rPython

Installation (via Github after successfully installed the above dependencies)


Check out demos for available usages. Issues and pull requests are more than welcomed.

Contact terrytangyuan@gmail.com for questions/suggestions/collaborations.

rflow questions on Stackoverflow (View All Questions)
  • Read netflow/rflow (dd-wrt) packet content
rflow list of languages used
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