Showing 2 open source projects for "updates"

View related business solutions
  • Build AI Apps with Gemini 3 on Vertex AI Icon
    Build AI Apps with Gemini 3 on Vertex AI

    Access Google’s most capable multimodal models. Train, test, and deploy AI with 200+ foundation models on one platform.

    Vertex AI gives developers access to Gemini 3—Google’s most advanced reasoning and coding model—plus 200+ foundation models including Claude, Llama, and Gemma. Build generative AI apps with Vertex AI Studio, customize with fine-tuning, and deploy to production with enterprise-grade MLOps. New customers get $300 in free credits.
    Try Vertex AI Free
  • Build on Google Cloud with $300 in Free Credit Icon
    Build on Google Cloud with $300 in Free Credit

    New to Google Cloud? Get $300 in free credit to explore Compute Engine, BigQuery, Cloud Run, Vertex AI, and 150+ other products.

    Start your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query exabytes in BigQuery, or build AI apps with Vertex AI and Gemini. Once your credits are used, keep building with 20+ products with free monthly usage, including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. Sign up to start building right away.
    Start Free Trial
  • 1
    Read the Docs

    Read the Docs

    The source code that powers readthedocs.org

    Read the Docs is a platform that automates building, versioning, and hosting documentation from source repositories. Supporting Sphinx, MkDocs, Jupyter Book, and more, it integrates with GitHub, GitLab, and Bitbucket to trigger automatic builds upon updates. Both open-source projects and private documentation can be hosted, with previews, search, audits, and analytics, enabling seamless “Docs as Code” workflows.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 2
    TensorFlow-ZH

    TensorFlow-ZH

    Chinese version of the official document of TensorFlow

    The tensorflow-zh repository is a Chinese translation of the official TensorFlow documentation, organized to make the core guides, tutorials, and reference material accessible to Chinese speakers. It was initiated shortly after TensorFlow’s open-sourcing, with translation and proofreading contributions from a community of volunteers who aimed to bridge the language barrier for learners in China and other Mandarin communities. The repo mirrors the structure of the original English docs:...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB