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código abierto IA

  • The GPT Repo hosts community-made GPTs for easy access.
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    What is The GPT Repo?
    The GPT Repo is a community-driven platform designed for AI enthusiasts and creators to share their custom-made GPT models. It provides a space where users can gain exposure, collaborate with others, and gather feedback on their creations. This open-source platform is ideal for anyone looking to explore a wide range of pre-trained GPTs made by the community. Whether you're an AI expert or a newcomer, The GPT Repo offers a rich repository of resources to enhance your AI projects.
    The GPT Repo Core Features
    • Community-driven GPT repository
    • Open-source platform
    • Custom GPT submission
    • User reviews and feedback
    • Collaborative space
    The GPT Repo Pro & Cons

    The Cons

    No direct GitHub repository links provided.
    No explicit pricing information on the site.
    Limited information about detailed features and technical aspects.

    The Pros

    Provides access to open-source GPT models.
    Offers a community platform via Discord for networking and support.
    Helps agencies monetize GPT technologies.
  • An open-source Minecraft-inspired RL platform enabling AI agents to learn complex tasks in customizable 3D sandbox environments.
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    What is MineLand?
    MineLand provides a flexible 3D sandbox environment inspired by Minecraft for training reinforcement learning agents. It features Gym-compatible APIs for seamless integration with existing RL libraries such as Stable Baselines, RLlib, and custom implementations. Users gain access to a library of tasks, including resource collection, navigation, and construction challenges, each with configurable difficulty and reward structures. Real-time rendering, multi-agent scenarios, and headless modes allow for scalable training and benchmarking. Developers can design new maps, define custom reward functions, and plugin additional sensors or controls. MineLand’s open-source codebase fosters reproducible research, collaborative development, and rapid prototyping of AI agents in complex virtual worlds.
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