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Comprehensive 재현성 Tools for Every Need

Get access to 재현성 solutions that address multiple requirements. One-stop resources for streamlined workflows.

재현성

  • DataAgent

    DataAgent is a Python AI Agent that automates data exploration, analysis, and ML pipeline generation from various data sources.
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    What is DataAgent?
    DataAgent leverages advanced AI agents built on top of LLMs to explore datasets, generate insights, and assemble machine learning pipelines automatically. Users point DataAgent at a CSV, SQL table, or Pandas DataFrame and pose questions in natural language. The agent interprets queries, executes analysis code, visualizes results, and even writes modular Python scripts for ETL and modeling tasks. It streamlines the entire data science workflow by reducing boilerplate coding and accelerating experimentation.
    DataAgent Core Features
    • Natural language data querying
    • Automated exploratory data analysis
    • Visualization generation
    • ML pipeline code synthesis
    • SQL and Pandas integration
    • Reproducible script export

  • Practical AI Agents

    A repository of code recipes enabling developers to build autonomous AI agents with tool integration, memory, and task orchestration.
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    What is Practical AI Agents?
    Practical AI Agents provides developers with a comprehensive framework and ready-to-use examples to construct autonomous agents powered by large language models. It demonstrates how to integrate API tools (e.g., web browsers, databases, custom functions), implement RAG-style memory, manage conversation context, and perform dynamic planning. You can adapt examples for chatbots, data analysis assistants, task automation scripts, or research tools. The repository includes notebooks, Dockerfiles, and configuration files to streamline setup and deployment across environments.
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