Jupyter Notebook Chat

Open-source Jupyter Notebook projects categorized as Chat
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Topics: llm-agent Gpt Chatbot Analysis Code-Generator
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Top 3 Jupyter Notebook Chat Projects

  • autogen

    A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap

    • Project mention: Agents of Change: Navigating the Rise of AI Agents in 2024 | dev.to | 2024-05-02

    AutoGen is an AI framework by Microsoft designed to streamline multi-agent conversations. AutoGen allows agents to communicate, share information, and make collective decisions. This setup enhances the responsiveness and dynamism of conversations. Developers use AutoGen to tailor agents to specific roles, such as programmer, content writer, CEO, etc. This enhances their ability to handle tasks from simple queries to intricate problem-solving.

  • Roy

    Roy: A lightweight, model-agnostic framework for crafting advanced multi-agent systems using large language models. (by JosefAlbers)

    • Project mention: My take on Microsoft's `autogen` for multi-agent chat: `Roy` | /r/LocalLLaMA | 2023-10-05

    So, I spent the weekend putting together Roy. I tried to replicate some of its features but in what I hoped would be a simpler, more straightforward way.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • Whatsapp-Chart-Analysis-WebApp

    WhatsApp Chat Analyser uses your Whatsapp data and analysis it and extracts insides from your cart history.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Jupyter Notebook Chat related posts

Index

What are some of the best open-source Chat projects in Jupyter Notebook? This list will help you:

Project Stars
1 autogen 25,255
2 Roy 66
3 Whatsapp-Chart-Analysis-WebApp 16

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