Browse free open source Ruby Generative AI and projects below. Use the toggles on the left to filter open source Ruby Generative AI by OS, license, language, programming language, and project status.

  • Auth for GenAI | Auth0 Icon
    Auth for GenAI | Auth0

    Enable AI agents to securely access tools, workflows, and data with fine-grained control and just a few lines of code.

    Easily implement secure login experiences for AI Agents - from interactive chatbots to background workers with Auth0. Auth for GenAI is now available in Developer Preview
    Try free now
  • Simplify IT and security with a single endpoint management platform Icon
    Simplify IT and security with a single endpoint management platform

    Automate the hardest parts of IT

    NinjaOne automates the hardest parts of IT, delivering visibility, security, and control over all endpoints for more than 20,000 customers. The NinjaOne automated endpoint management platform is proven to increase productivity, reduce security risk, and lower costs for IT teams and managed service providers. The company seamlessly integrates with a wide range of IT and security technologies. NinjaOne is obsessed with customer success and provides free and unlimited onboarding, training, and support.
    Learn More
  • 1
    commit-autosuggestions

    commit-autosuggestions

    A tool that AI automatically recommends commit messages

    This is implementation of CommitBERT: Commit Message Generation Using Pre-Trained Programming Language Model. CommitBERT is accepted in ACL workshop : NLP4Prog. Have you ever hesitated to write a commit message? Now get a commit message from Artificial Intelligence! CodeBERT: A Pre-Trained Model for Programming and Natural Languages introduces a pre-trained model in a combination of Program Language and Natural Language(PL-NL). It also introduces the problem of converting code into natural language (Code Documentation Generation). We can use CodeBERT to create a model that generates a commit message when code is added. However, most code changes are not made only by add of the code, and some parts of the code are deleted. We plan to slowly conquer languages that are not currently supported. To run this project, you need a flask-based inference server (GPU) and a client (commit module). If you don't have a GPU, don't worry, you can use it through Google Colab.
    Downloads: 0 This Week
    Last Update:
    See Project
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