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multiscale-pgm-for-stochastic-control

https://github.com/arashfahim/multiscale-pgm-for-stochastic-control

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (1.4%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: arashfahim
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 82.5 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Created about 2 years ago · Last pushed 8 months ago
Metadata Files
Readme Citation

README.md

Multi-scale deep learning methods for control problems

Owner

  • Login: arashfahim
  • Kind: user

Citation (CITATION.cff) 

cff-version: 0.0.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: "Fahim"
    given-names: "Arash"
    orcid: "https://orcid.org/0000-0001-8028-2471"
  - family-names: "Rahman"
    given-names: "Md Arafatur"
    orcid: "https://orcid.org/0009-0005-7737-9375"
title: "Multi-scale GPM for optimal control"
version: "0.0.0"
url: "https://github.com/arashfahim/multiscale-PGM-for-stochastic-control"

GitHub Events

Total
  • Release event: 1
  • Push event: 45
  • Create event: 1
Last Year
  • Release event: 1
  • Push event: 45
  • Create event: 1