Artificial Neural Network to Node-link Immersive Analytics
Project description
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 history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file anntonia-0.1.0.tar.gz.
File metadata
- Download URL: anntonia-0.1.0.tar.gz
- Upload date:
- Size: 17.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fb2c1f886bcd6f574944107ec05548dc7865a910b79693a46f78feca92ab0341
|
|
| MD5 |
341609171b80010b229fe745a79cbc84
|
|
| BLAKE2b-256 |
ec88365d70c4f37464c713822c618907b3a9d60df3de534b29a69e96661a3feb
|
File details
Details for the file anntonia-0.1.0-py3-none-any.whl.
File metadata
- Download URL: anntonia-0.1.0-py3-none-any.whl
- Upload date:
- Size: 24.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2d8c93b071622f8b87afa3f694215deec4733a7563f059ad705f8e6a321c6dcb
|
|
| MD5 |
f84091916af70fcb8ee93cd537a71f6e
|
|
| BLAKE2b-256 |
b2bcb8f79217f46adeee1a9d8c8557ccd64f7ff31b513c5b018cf3db60f329ef
|
