https://github.com/wazeerzulfikar/rtensorflow

GSoC '17 - R language bindings for TensorFlow
https://github.com/wazeerzulfikar/rtensorflow

deep-learning machine-learning r tensorflow

Last synced: 16 days ago
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GSoC '17 - R language bindings for TensorFlow

• Host: GitHub
• URL: https://github.com/wazeerzulfikar/rtensorflow
• Owner: wazeerzulfikar
• Created: 2017-06-04T12:47:35.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2017-09-18T09:41:34.000Z (about 7 years ago)
• Last Synced: 2024-10-10T16:30:49.437Z (29 days ago)
• Topics: deep-learning, machine-learning, r, tensorflow
• Language: C++
• Homepage: https://wazeerzulfikar.github.io/gsoc-blog-17/
• Size: 181 KB
• Stars: 13
• Watchers: 5
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
#  R Binding

RTensorFlow provides idiomatic R language

bindings for [TensorFlow](http://tensorflow.org).

**Notice:** This project is still under active development and not guaranteed to have a

stable API. This is especially true because the underlying TensorFlow C API has not yet

been stabilized as well.

* [TensorFlow website](http://tensorflow.org)

* [TensorFlow GitHub page](https://github.com/tensorflow/tensorflow)

## Getting Started

Since this package depends on the TensorFlow C API, it needs to be installed from Tensorflow website. 

### Manual Tensorflow C API Installation

The Tensorflow C API `libtensorflow.so` can directly be installed onto the host machine by following the instructions in this link

* [Install Tensorflow for C](https://www.tensorflow.org/install/install_c)

Make sure you install the library in the default directory (`/usr/local`)

**macOS Note :** There is a homebrew formula to install `libtensorflow` without any hassle.

## Usage

Upon installing `libtensorflow.so` in the default directory,

1. `install.packages("devtools")`

2. `library(devtools)`

3.  `install_github("wazeerzulfikar/rtensorflow")`

4. `library(rtensorflow)`

5. For examples on how to use the R API, look at `R/examples.R`

## Contributing

Developers and users are welcome to contribute!

## License

This project is licensed under the terms of the Apache 2.0 license.