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TensorX is a minimalistic utility library to build neural network models in TensorFlow

Project description

tensorx

License Docs dev build

TensorX is an free and open-source minimalistic high-level library to build, train, and run neural network models in TensorFlow. This is currently under heavy development, as such I don't recommend it's usage yet. Tensorflow is approaching a new release and there will be a split in this library as well that will accomodate both static graphs and eager execution (the new default mode).

Documentation will be available at tensorx.readthedocs.io.

Installation

TensorX is compatible with Python 3.5+. It depends on Tensorflow and pygraphviz but will not be shipping with tensorflow as a dependency. The reason for this is that tensorflow might come under different packages depending on whether or not the user is using GPU hardware. Moreover, you might want to use a custom tensorflow build. For these reasons Tensorflow should be installed separately from tensorx.

pip install tensorflow 
# pip install tensorflow-gpu
pip install tensorx

virtualenv: much like tensorflow, virtualenv is recommended to install tensorx in its own environment to avoid interfering with system-wide packages.

Getting Started

Documentation and tutorials will be coming soon

Author

License

Apache License 2.0

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