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AI & Machine Learning · Awesome GitHub Repositories

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Awesome GitHub RepositoriesAI & Machine Learning

Explore 3 awesome GitHub repositories matching miscellaneous curated lists · AI & Machine Learning. Refine with filters or upvote what's useful.

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Awesome AI & Machine Learning GitHub Repositories

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  • awesome-selfhosted/awesome-selfhosted

    awesome-selfhosted/awesome-selfhosted

    274,152GitHubView on GitHub↗

    This project is a comprehensive, curated repository of self-hosted software designed to assist users in discovering and evaluating applications for private server environments. It organizes a vast array of tools into categories spanning communication, infrastructure, media, and productivity, providing a centralized res

    awesomeawesome-listcloud
  • openclaw/openclaw

    openclaw/openclaw

    211,971GitHubView on GitHub↗

    Openclaw is a platform for managing agent execution environments, providing the infrastructure to control agent lifecycles, session state, and workspace persistence. It features a centralized gateway that handles model loops, tool invocation, and streaming events, while supporting multi-agent routing and persistent mem

    TypeScriptaiassistantcrustacean
  • Shubhamsaboo/awesome-llm-apps

    Shubhamsaboo/awesome-llm-apps

    96,116GitHubView on GitHub↗

    This repository serves as a comprehensive collection of resources, templates, and starter code for building artificial intelligence applications. It provides a centralized hub for developers to access practical implementations of common workflows, including retrieval-augmented generation pipelines and autonomous agent

    Pythonagentsllmspython

Explore sub-tags

  • AI Agent Templates1 sub-tagCurated starter templates and single-file scripts for building artificial intelligence agents.
  • Agent Testing FrameworksTesting suites designed to validate agent logic, tool definitions, and interactions with live service providers.
  • Generative AI PlatformsSelf-hosted software platforms and toolkits for deploying, managing, and interacting with generative language models.