TensorX is a minimalistic utility library to build neural network models in TensorFlow
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.
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.
Documentation and tutorials will be coming soon
Release history Release notifications
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size tensorx-0.12.0-py3-none-any.whl (101.2 kB)||File type Wheel||Python version py3||Upload date||Hashes View hashes|
|Filename, size tensorx-0.12.0.tar.gz (91.2 kB)||File type Source||Python version None||Upload date||Hashes View hashes|