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 links in README
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Unable to calculate vocabulary similarity
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: klenovich
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 2.88 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed over 2 years ago
Metadata Files
Citation

Owner

  • Login: klenovich
  • Kind: user

Citation (CITATION.cff)

preferred-citation:
  type: inproceedings
  authors:
  - family-names: "Wu"
    given-names: "Qingyun"
    affiliation: "Penn State University, University Park PA USA"
  - family-names: "Bansal"
    given-names: "Gargan"
    affiliation: "Microsoft Research, Redmond WA USA"
  - family-names: "Zhang"
    given-names: "Jieyu"
    affiliation: "University of Washington, Seattle WA USA"
  - family-names: "Wu"
    given-names: "Yiran"
    affiliation: "Penn State University, University Park PA USA"
  - family-names: "Zhang"
    given-names: "Shaokun"
    affiliation: "Penn State University, University Park PA USA"
  - family-names: "Zhu"
    given-names: "Eric"
    affiliation: "Microsoft Research, Redmond WA USA"
  - family-names: "Li"
    given-names: "Beibin"
    affiliation: "Microsoft Research, Redmond WA USA"
  - family-names: "Jiang"
    given-names: "Li"
    affiliation: "Microsoft Corporation"
  - family-names: "Zhang"
    given-names: "Xiaoyun"
    affiliation: "Microsoft Corporation, Redmond WA USA"
  - family-names: "Wang"
    given-names: "Chi"
    affiliation: "Microsoft Research, Redmond WA USA"
  booktitle: "ArXiv preprint arXiv:2308.08155"
  title: "AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework"
  year: 2023

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Dependencies

Dockerfile docker
  • python 3.10 build
website/package.json npm
  • @docusaurus/core 0.0.0-4193
  • @docusaurus/preset-classic 0.0.0-4193
  • @easyops-cn/docusaurus-search-local ^0.21.1
  • @mdx-js/react ^1.6.21
  • @svgr/webpack ^5.5.0
  • clsx ^1.1.1
  • file-loader ^6.2.0
  • hast-util-is-element 1.1.0
  • minimatch 3.0.5
  • react ^17.0.1
  • react-dom ^17.0.1
  • rehype-katex 4
  • remark-math 3
  • trim ^0.0.3
  • url-loader ^4.1.1
website/yarn.lock npm
  • 1083 dependencies
pyproject.toml pypi
setup.py pypi
  • diskcache *
  • flaml *
  • openai *
  • termcolor *