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@jd-opensource

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JD Open Source

JD Open Source - Open Technology, Shared Future.

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Our Mission

We are dedicated to empowering developers and enterprises through open technology, collectively building an efficient, reliable, and innovative tech ecosystem. We believe that open source is a bridge connecting technology with the community, accelerating technological accessibility and value creation.

Our Governance

Our open-source projects operate under a transparent governance model, ensuring their healthy and sustainable growth. We are guided by:

  • Open Decision-Making: All major technical decisions are openly discussed within the community. We welcome feedback and suggestions from everyone.
  • Meritocracy: Roles and permissions are based on an individual's contributions to the project. Anyone who consistently contributes has the opportunity to become a core maintainer.
  • Code of Conduct: We strictly adhere to our Code of Conduct to ensure a friendly, inclusive, and respectful community for all.

How to Get Involved

We welcome everyone with a passion for technology to join our community, whether you are a seasoned developer or just starting out. Here are a few ways you can contribute:

  • Submit an Issue: Found a bug or have a new feature idea? Feel free to open an issue in our project repositories.
  • Contribute Code: Submit your code fixes or new features via a Pull Request. Please read the project's contribution guide first.
  • Improve Documentation: Help us translate or improve our documentation to benefit more users.
  • Join the Discussion: Participate in our community forums or chat groups to share your thoughts and experiences.

Our Projects

You can find all our open-source projects here https://github.com/jd-opensource, or visit our homepage for more information.

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  1. xllm xllm Public

    A high-performance inference engine for LLMs, optimized for diverse AI accelerators.

    C++ 243 46

  2. xllm-service xllm-service Public

    A flexible serving framework that delivers efficient and fault-tolerant LLM inference for clustered deployments.

    C++ 53 11

Repositories

Showing 10 of 108 repositories