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Artificial Neural Network to Node-link Immersive Analytics (ANNtoNIA)

ANNtoNIA is a framework for building immersive node-link visualizations, designed for Artificial Neural Networks (ANN). It is currently under development and unfinished. For any questions, contact @mbellgardt.

Recommended Setup

Download and install Anaconda, then create an environment, by executing:

conda create -c conda-forge --name anntonia --file anntonia-env.txt

in the anaconda prompt. Activate the environment using:

conda activate anntonia

Afterwards you can run one of the examples by, e.g:

python linear_model_test_server.py

This will start the ANNtoNIA server, you can then connect to with the ANNtoNIA rendering client.

Release files for anntonia 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for anntonia 0.1.0
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anntonia-0.1.0.tar.gz 17.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for anntonia 0.1.0
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anntonia-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 42.2 kB

Release files / anntonia-0.1.0.tar.gz

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Size 17.9 kB
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Release files / anntonia-0.1.0-py3-none-any.whl

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Size 24.3 kB
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0.1.0 This release

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