https://github.com/ap6yc/adaptive_resonance
A PyPI python module for adaptive resonance theory (ART).
Science Score: 23.0%
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Low similarity (5.3%) to scientific vocabulary
Repository
A PyPI python module for adaptive resonance theory (ART).
Basic Info
- Host: GitHub
- Owner: AP6YC
- License: gpl-3.0
- Default Branch: master
- Size: 18.6 KB
Statistics
- Stars: 0
- Watchers: 4
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
adaptive_resonance
A PyPI python module for adaptive resonance theory (ART).
| Documentation | Build Status | Coverage | |:------------------:|:----------------:|:------------:|
This package is developed and maintained by Sasha Petrenko with sponsorship by the Applied Computationa Intelligence Laboratory (ACIL).
Leveraged Repositories
- ACIL Organization GitHub
- MATLAB
- DDVFA: Companion MATLAB implementation of distrubuted dual vigilance fuzzy ART.
- DVFA: Companion MATLAB code for Dual Vigilance Fuzzy ART
- iCVI-toolbox: A MATLAB toolbox for incremental/batch cluster validity indices
- CVIFA: Companion MATLAB implementation of validity index-based vigilance test fuzzy ART.
- VAT-FA: Companion MATLAB code for VAT + Fuzzy ART.
- BARTMAP-CF: Companion MATLAB code for BARTMAP-based collaborative filtering
- Python
- NuART-Py: An internal ACIL python package for ART neural networks.
- DVHA: An python implementation of dual vigilance hypersphere ART.
Datasets
UCI machine learning repository: http://archive.ics.uci.edu/ml
Fundamental Clustering Problems Suite (FCPS): https://www.uni-marburg.de/fb12/arbeitsgruppen/datenbionik/data?language_sync=1
Datasets package: https://www.researchgate.net/publication/239525861Datasetspackage
Clustering basic benchmark: http://cs.uef.fi/sipu/datasets
Owner
- Name: Sasha Petrenko
- Login: AP6YC
- Kind: user
- Website: https://ap6yc.github.io/
- Repositories: 48
- Profile: https://github.com/AP6YC
Graduate researcher of applied computational intelligence at the Missouri University of Science and Technology.
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