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.
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Metadata
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Release files for anntonia 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| anntonia-0.1.0.tar.gz | 17.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| 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
| Download URL | anntonia-0.1.0.tar.gz |
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| Size | 17.9 kB |
| Tags | Source |
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Release files / anntonia-0.1.0-py3-none-any.whl
| Download URL | anntonia-0.1.0-py3-none-any.whl |
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| Size | 24.3 kB |
| Tags | Python 3 |
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