Skip to main content

No project description provided

Project description

TensorState (v0.4.0) - Neural Network Efficiency Tools

TensorState is a toolbox to capture neural network information to better understand how information flows through the network. The core of the toolbox is the ability to capture and analyze neural layer state space, which logs unique firing states of neural network layers. This repository implements and extends the work by Schaub and Hotaling in their paper, Assessing Intelligence in Artificial Neural Networks.


Precompiled wheels exist for Windows, Linux, and MacOS for Python 3.6-3.8. No special installation instructions are required in most cases:

pip install pip --upgrade

pip install TensorState

If the wheels don't download or you run into an error, try installing the pre-requisites for compiling before installing with pip.

pip install pip --upgrade

pip install numpy==1.19.2 Cython==3.0a1

pip install TensorState


Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tensorstate-0.4.0.tar.gz (166.4 kB view hashes)

Uploaded source

Built Distributions

tensorstate-0.4.0-cp310-cp310-win_amd64.whl (261.5 kB view hashes)

Uploaded cp310

tensorstate-0.4.0-cp39-cp39-win_amd64.whl (261.9 kB view hashes)

Uploaded cp39

tensorstate-0.4.0-cp38-cp38-win_amd64.whl (261.9 kB view hashes)

Uploaded cp38

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page