PyTorch Contributor Awards 2025 – Nomination Form Survey

The PyTorch Foundation will recognize outstanding contributions to the PyTorch community at the upcoming PyTorch Conference on October 22–23, 2025, in San Francisco.

These awards celebrate the diverse and meaningful ways contributors impact the community — through code, documentation, community building, innovation, and more.

This form is your opportunity to nominate someone who has made a meaningful contribution to the PyTorch ecosystem.
Self-nominations are welcome.

All nominations will be reviewed by the PyTorch Awards Nominating Group. Selected awardees will be notified before the event.

Section 1: Nominator Information

1.Your Full Name(Required.)

2.Your Email Address

3.Your Affiliation (if applicable)

Section 2: Nominee Information

4.Nominee's Full Name or GitHub Handle (Required; Either is acceptable)(Required.)

5.Nominee's Email Address

6.Nominee’s Affiliation (Company, Institution, or Independent) (if known) (Optional)

Section 3: Contribution Details

Section 4: Contribution Details

8.Why are you nominating this person?
Please describe in detail:
- What they contributed
- Why it was exceptional
- How it impacted the PyTorch community

9.Please include any links or references to their contributions(Required.)

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Need Help Submitting a Strong Nomination?
We encourage you to provide clear and detailed examples of the nominee’s impact. This helps our review team fairly and consistently assess all nominations.

What Makes a Strong Nomination

Be Specific
Describe what the nominee did. Mention concrete contributions, initiatives, or activities rather than general praise.

Highlight the Impact
Explain how their work benefited the PyTorch community. For example:

Did it improve documentation, performance, accessibility, or user experience?
Did it support new users or underrepresented groups?
Did it introduce new approaches or help others adopt PyTorch more effectively?
Include Supporting Evidence
Whenever possible, include links to relevant materials:

GitHub pull requests or issues
Blog posts or tutorials
Talks, videos, or event listings
If you are nominating yourself, feel free to describe your own work directly.

Examples of Strong Nomination Statements

"Developed a solution that improved model serving speeds, adopted by multiple production teams across different organizations using PyTorch."
"Organized hands-on workshops in regions with limited access to deep learning tools, helping expand PyTorch usage to new communities."
"Led a documentation sprint involving 50 contributors, improving over 200 tutorials to make PyTorch easier for new users."
"Mentored first-time contributors through online sessions, resulting in dozens of successful pull requests across core and ecosystem repositories."
"Helped resolve critical bugs by identifying root causes and guiding fixes, significantly improving model stability for end users."

Encouragement for Diverse Nominations
We welcome nominations representing all genders, regions, organizations, and types of contributions.
This includes code, documentation, education, outreach, event organization, advocacy, and more.

For inquiries, please contact contributor-award@pytorch.org.