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@GoPeaks-AI

GoPeaks-AI

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  1. KGC2022 KGC2022 Public

    Dr. Chen's talk at Knowledge Graph Conference 2022

    Jupyter Notebook 2 1

  2. HypothesisReader HypothesisReader Public

    Developing machine reading to extract, deconstruct, and classify hypotheses from social sciences

    HTML 2

  3. CausTator1.0 CausTator1.0 Public

    CausTator (Causality Annotator) 1.0 is free annotation software for users who have no programming background. The annotated documents can be used directly for most Natural Language Processing (NLP)…

    1 1

  4. MetaScience MetaScience Public

    This project seeks to develop a working pipeline for aggregating domain knowledge and evidence silos into a unified, cumulative knowledge graph, which in turn can be easily accessed by data scienti…

    Jupyter Notebook

  5. meta2causalgraph meta2causalgraph Public

    Organizing, querying, and drawing causal graphs from a meta-analysis knowledge graph database

    Jupyter Notebook 3

  6. text2causalgraph text2causalgraph Public

    Jupyter Notebook 6 1

Repositories

Showing 10 of 20 repositories
  • text2causalgraph Public
    Jupyter Notebook 6 1 2 0 Updated Feb 8, 2024
  • stakeholder_material_reader Public
    Jupyter Notebook 0 0 0 0 Updated Aug 14, 2023
  • KGC2022 Public

    Dr. Chen's talk at Knowledge Graph Conference 2022

    Jupyter Notebook 2 1 0 0 Updated Feb 9, 2023
  • multi-stakeholder-benefits Public

    We are developing an open community to understand how organizations may align benefits to all of their stakeholders, including customers (e.g., users, clients, and consumers), investors (e.g., shareholders and creditors), employees (e.g., workers and managers), suppliers (e.g., vendors and contractors), and community/environment (e.g., local com…

    0 MIT 0 0 0 Updated Feb 9, 2023
  • Experiment_CausalGraph_ReadingAccuracy Public
    Jupyter Notebook 0 0 0 0 Updated Apr 27, 2022
  • religion_over_science Public
    Jupyter Notebook 0 0 0 0 Updated Apr 11, 2022
  • meta2causalgraph Public

    Organizing, querying, and drawing causal graphs from a meta-analysis knowledge graph database

    Jupyter Notebook 3 0 0 0 Updated Apr 10, 2022
  • MetaScience Public

    This project seeks to develop a working pipeline for aggregating domain knowledge and evidence silos into a unified, cumulative knowledge graph, which in turn can be easily accessed by data scientists to support their statistical and machine learning model development that represents the real-world relationships. Here is an overall of the archit…

    Jupyter Notebook 0 MIT 0 0 0 Updated Mar 1, 2022
  • CausalDAGs Public
    JavaScript 0 BSD-3-Clause 0 0 0 Updated Feb 8, 2022
  • awesome-causality-algorithms Public
    0 0 0 0 Updated Feb 6, 2022
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