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    • JavaScript
      47000Updated Nov 25, 2024Nov 25, 2024
    • An open-source integration of GraphRAG for Agentic System with NoCode
      Jupyter Notebook
      Apache License 2.0
      3900Updated Nov 25, 2024Nov 25, 2024
    • autogen

      Public
      A programming framework for agentic AI 🤖
      Jupyter Notebook
      Creative Commons Attribution 4.0 International
      5k000Updated Nov 14, 2024Nov 14, 2024
    • A versatile tool designed to help prototype intelligent assistants, agents and multi-agentic systems
      Python
      MIT License
      32001Updated Oct 24, 2024Oct 24, 2024
    • AgenticUI

      Public
      MIT License
      0000Updated Oct 20, 2024Oct 20, 2024
    • ml-agents

      Public
      The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
      C#
      Other
      4.2k000Updated Sep 30, 2024Sep 30, 2024
    • Documentation for Qredence AI Intelligent solutions
      MDX
      0000Updated Sep 26, 2024Sep 26, 2024
    • .github

      Public
      MIT License
      0000Updated Jul 11, 2024Jul 11, 2024
    • An Adaptative Multi-Agent System
      Apache License 2.0
      0000Updated May 25, 2024May 25, 2024
    • Apache License 2.0
      0000Updated Mar 31, 2024Mar 31, 2024
    • Trueblock

      Public archive
      Our project enhances Trulens analytics through two key initiatives: developing an interactive visual node for integration in Jupyter notebooks, and creating a comprehensive RAG framework for Trulens documentation. These efforts aim to simplify and enrich the user experience with Trulens, making advanced data analysis more accessible and intuitive.
      JavaScript
      MIT License
      0100Updated Dec 26, 2023Dec 26, 2023
    • visualblocks

      Public archive
      Visual Blocks for ML is a Google visual programming framework that lets you create ML pipelines in a no-code graph editor. You – and your users – can quickly prototype workflows by connecting drag-and-drop ML components, including models, user inputs, processors, and visualizations.
      Python
      Apache License 2.0
      155000Updated Dec 22, 2023Dec 22, 2023