https://github.com/dahong67/gcpdecompositions.jl
Generalized CP Tensor Decompositions
Science Score: 49.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 6 DOI reference(s) in README -
✓Academic publication links
Links to: arxiv.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (11.5%) to scientific vocabulary
Repository
Generalized CP Tensor Decompositions
Basic Info
Statistics
- Stars: 6
- Watchers: 1
- Forks: 3
- Open Issues: 40
- Releases: 6
Metadata Files
README.md
GCPDecompositions: Generalized CP Decompositions
👋 This package provides research code and work is ongoing. If you are interested in using it in your own research, *I'd love to hear from you and collaborate!** Feel free to write: hong@udel.edu*
Please cite the following papers for this technique:
David Hong, Tamara G. Kolda, Jed A. Duersch. "Generalized Canonical Polyadic Tensor Decomposition", SIAM Review 62:133-163, 2020. https://doi.org/10.1137/18M1203626 https://arxiv.org/abs/1808.07452
Tamara G. Kolda, David Hong. "Stochastic Gradients for Large-Scale Tensor Decomposition", SIAM Journal on Mathematics of Data Science 2:1066-1095, 2020. https://doi.org/10.1137/19M1266265 https://arxiv.org/abs/1906.01687
In BibTeX form: ```bibtex @Article{hkd2020gcp, title = "Generalized Canonical Polyadic Tensor Decomposition", author = "David Hong and Tamara G. Kolda and Jed A. Duersch", journal = "{SIAM} Review", year = "2020", volume = "62", number = "1", pages = "133--163", DOI = "10.1137/18M1203626", }
@Article{kh2020sgf, title = "Stochastic Gradients for Large-Scale Tensor Decomposition", author = "Tamara G. Kolda and David Hong", journal = "{SIAM} Journal on Mathematics of Data Science", year = "2020", volume = "2", number = "4", pages = "1066--1095", DOI = "10.1137/19M1266265", } ```
Owner
- Name: David Hong
- Login: dahong67
- Kind: user
- Location: Newark, DE
- Company: University of Delaware
- Website: https://dahong.gitlab.io
- Repositories: 7
- Profile: https://github.com/dahong67
Assistant Professor in ECE
GitHub Events
Total
- Create event: 5
- Commit comment event: 2
- Release event: 1
- Issues event: 15
- Watch event: 4
- Delete event: 5
- Issue comment event: 13
- Push event: 26
- Pull request event: 8
Last Year
- Create event: 5
- Commit comment event: 2
- Release event: 1
- Issues event: 15
- Watch event: 4
- Delete event: 5
- Issue comment event: 13
- Push event: 26
- Pull request event: 8
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 48
- Total pull requests: 70
- Average time to close issues: about 2 months
- Average time to close pull requests: 18 days
- Total issue authors: 2
- Total pull request authors: 5
- Average comments per issue: 0.25
- Average comments per pull request: 2.74
- Merged pull requests: 46
- Bot issues: 0
- Bot pull requests: 2
Past Year
- Issues: 21
- Pull requests: 8
- Average time to close issues: about 2 hours
- Average time to close pull requests: about 8 hours
- Issue authors: 1
- Pull request authors: 3
- Average comments per issue: 0.0
- Average comments per pull request: 1.38
- Merged pull requests: 5
- Bot issues: 0
- Bot pull requests: 2
Top Authors
Issue Authors
- dahong67 (47)
- JuliaTagBot (1)
Pull Request Authors
- dahong67 (39)
- alexmul1114 (17)
- bakergg (10)
- PedroSophiaaa (2)
- github-actions[bot] (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- julia 2 total
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 6
juliahub.com: GCPDecompositions
Generalized CP Tensor Decompositions
- Documentation: https://docs.juliahub.com/General/GCPDecompositions/stable/
- License: MIT
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Latest release: 0.3.1
published 9 months ago
Rankings
Dependencies
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- julia-actions/cache v1 composite
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- actions/checkout v2 composite
- julia-actions/setup-julia v1 composite
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