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AIModelKit > Tools > Submit Your Nominations for the 2025 PyTorch Contributor Awards: Recognizing Excellence in the PyTorch Community
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Submit Your Nominations for the 2025 PyTorch Contributor Awards: Recognizing Excellence in the PyTorch Community

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Last updated: July 31, 2025 3:45 pm
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Submit Your Nominations for the 2025 PyTorch Contributor Awards: Recognizing Excellence in the PyTorch Community
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Nominate Outstanding Contributors for the 2025 PyTorch Contributor Awards

Nominations are now open for the 2025 PyTorch Contributor Awards! These prestigious awards shine a spotlight on incredible individuals whose work is driving innovation, collaboration, and community-building within the PyTorch ecosystem. If you know someone whose dedication has significantly impacted the community, now is your chance to celebrate their efforts.

Contents
  • Nominate Outstanding Contributors for the 2025 PyTorch Contributor Awards
  • Why Celebrate PyTorch Contributors?
  • Awards Ceremony Details
  • Who Should You Nominate?
  • Award Categories
  • How to Submit a Strong Nomination
    • Be Specific
    • Highlight the Impact
    • Provide Supporting Evidence
    • Sample Strong Nomination Statements
  • Celebrating All Forms of Contribution
  • Questions?
  • How to Nominate

Why Celebrate PyTorch Contributors?

Contributors are the backbone of the PyTorch community. Whether it’s through code, documentation, mentoring, or community leadership, their efforts are critical to the success and growth of this powerful machine learning framework. Recognizing these contributions not only honors individual efforts but also inspires others to engage and enrich the community.

Awards Ceremony Details

Winners will be honored at the PyTorch Conference in San Francisco on October 22–23, 2025. Each winner will receive a complimentary ticket to attend the conference, providing an excellent opportunity for networking and learning for everyone involved.

Who Should You Nominate?

We encourage nominations for anyone making a meaningful impact in the PyTorch ecosystem! Self-nominations are welcome, and we specifically look for contributors from diverse backgrounds and roles, including:

  • Open Source Developers: Those contributing code and enhancing the framework.
  • Documentation Writers: Individuals who create and improve learning materials.
  • Educators and Content Creators: Those who spread knowledge about PyTorch.
  • Community Advocates: Individuals working to grow and engage the community.
  • Ecosystem Builders: Those contributing to tools and libraries that integrate with PyTorch.
  • Bug Reporters and Fixers: People dedicated to improving software stability.
  • Longtime Contributors and Rising Newcomers: Celebrating the seasoned as well as emerging talents!

Award Categories

When submitting a nomination, you’ll choose from several categories that recognize various contributions, including:

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  • PyTorch Superhero: Excellence in all aspects of community contributions.
  • PyTorchbearer: Long-term contributions across all modalities.
  • PyTorch Pace-Setter: High-level activity and impactful contributions.
  • PyTorch Newcomer: Noteworthy new contributions.
  • PyTorch Ambassador: Bringing new users into the community (only approved ambassadors are eligible).
  • PyTorch Problem-Solver: Resolving bugs and improving functionality.
  • PyTorch Innovator: Introducing innovative features or approaches.
  • PyTorch Trail Blazer: Excellence in documentation and knowledge sharing.
  • PyTorch Rock-Turner: Submitting interesting issues or bugs for exploration.
  • PyTorch Ecosystem Champion: Strengthening the broader PyTorch ecosystem.

How to Submit a Strong Nomination

To ensure your nominee gets the recognition they deserve, follow these tips for crafting a strong nomination:

Be Specific

Don’t just say your nominee is “great.” Describe what they accomplished with specific examples that illustrate their impact.

Highlight the Impact

Reflect on how their work has made a difference. Did it:

  • Enhance performance or usability?
  • Expand the reach to new users or communities?
  • Facilitate learning and adoption of PyTorch?

Provide Supporting Evidence

Include links to relevant materials, such as:

  • GitHub issues, PRs, or repositories showcasing their work.
  • Blog posts, talks, or tutorials they’ve produced.
  • Documentation sprints or event listings they were involved in.

Sample Strong Nomination Statements

Here are some examples of effective nomination statements:

  • “Led a PyTorch documentation sprint, improving over 200 tutorials to support new users.”
  • “Resolved critical bugs impacting model stability in production deployments.”
  • “Ran workshops in underserved regions, expanding PyTorch’s reach to new users.”
  • “Mentored dozens of first-time contributors through successful PRs and onboarding.”

Celebrating All Forms of Contribution

We embrace contributions from every corner of the community—irrespective of gender, geography, or type of contribution. Advocacy, education, bug hunting, outreach, translation, and mentorship all matter. Every nomination counts in showcasing the diverse contributions that help PyTorch thrive.

Questions?

If you have any questions, feel free to reach out to us at: contributor-award@pytorch.org.

How to Nominate

Don’t miss out—nominate now by visiting the PyTorch Contributor Awards page. Let’s join together to recognize and celebrate the pioneering individuals who are making PyTorch a better resource for everyone!

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