https://github.com/ap6yc/cfar
This repository is a workplace for the upcoming "Analysis of Catastrophic Forgetting and Adaptive Resonance Theory Algorithms" paper.
Science Score: 49.0%
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Scientific vocabulary similarity
Low similarity (11.4%) to scientific vocabulary
Repository
This repository is a workplace for the upcoming "Analysis of Catastrophic Forgetting and Adaptive Resonance Theory Algorithms" paper.
Basic Info
- Host: GitHub
- Owner: AP6YC
- License: cc-by-4.0
- Language: Julia
- Default Branch: main
- Size: 1.36 MB
Statistics
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
This repository is a workplace for the upcoming "Analysis of Catastrophic Forgetting and Adaptive Resonance Theory Algorithms" paper. Please see the documentation.
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Table of Contents
Overview
TODO
Installation
shell
mamba create -n cfar python=3.11
mamba activate cfar
pip install -e '.[dev]'
Usage
TODO
tar results:
shell
tar -czvf knn.tar.gz knn/
Notes
TODO: 1. Mover dataset 2. TT 1-2, final perfs, n_cats, 3. CVIs 4. Vary vigilance 5. Refactor data utils 6. Dist driver refactor
Attribution
Authors
- Sasha Petrenko petrenkos@mst.edu
Images
This project uses the following images:
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.
GitHub Events
Total
- Push event: 89
Last Year
- Push event: 89
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
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Dependencies
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- JuliaRegistries/TagBot v1 composite
- johnnydep * development
- jupyterlab * development
- l2logger * development
- l2metrics * development
- numpy * development
- pandas * development
- pyarrow ==11 development
- tensorflow * development