datasaurusdozen
Implementing “Same Stats, Different Graphs.” and “Minimal Algorithmic Information Loss Methods for Dimension Reduction, Feature Selection and Network Sparsification.”
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Scientific vocabulary similarity
Low similarity (0.8%) to scientific vocabulary
Repository
Implementing “Same Stats, Different Graphs.” and “Minimal Algorithmic Information Loss Methods for Dimension Reduction, Feature Selection and Network Sparsification.”
Basic Info
- Host: GitHub
- Owner: algoplexity
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Size: 34.2 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
DatasaurusDozen
Implementing “Same Stats, Different Graphs.” and “Minimal Algorithmic Information Loss Methods for Dimension Reduction, Feature Selection and Network Sparsification.”
Owner
- Name: Yeu Wen
- Login: algoplexity
- Kind: user
- Location: Melbourne, Australia
- Website: https://osf.io/27kzt/
- Repositories: 1
- Profile: https://github.com/algoplexity
My current research interests lie in causal modeling and inferencing, particularly in applying algorithmic generative models for market regime detection.
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Mak" given-names: "Yeu Wen" orcid: "https://orcid.org/0000-0001-8419-441X" title: "DatasaurusDozen" version: 1.0.0 doi: 10.5281/zenodo.8173482 date-released: 2023-07-22 url: "https://github.com/algoplexity/DatasaurusDozen"