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

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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 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



Apache License 2.0

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