package

github.com/NeuraLegion/tensorflow.cr

master / published Sep 26, 2017 / repository

TensorFlow bindings in Crystal

tensorflow.cr

TensorFlow bindings in Crystal.
The aim of this shard is to expose all the C API functionality.

Installation

Add this to your application's shard.yml:

dependencies:
  tensorflow:
    github: NeuraLegion/tensorflow.cr

then run crystal deps update

Usage

Right now the status is WIP, nothing really works, see specs for current coverage

Development

TODO:

  • [ ] Graph
  • [x] Status
  • [ ] Tensor
  • [ ] Session
  • [ ] Ops

For references and ideas you can use:

Contributing

  1. Fork it ( https://github.com/NeuraLegion/tensorflow.cr/fork )
  2. Create your feature branch (git checkout -b my-new-feature)
  3. Commit your changes (git commit -am 'Add some feature')
  4. Push to the branch (git push origin my-new-feature)
  5. Create a new Pull Request

Contributors

API