Upcoming Events
PyTorch Conference – Dec 2nd 2022 | Save the Date
Content Submission Form — Complete by Sept. 30th
We are excited to announce that the PyTorch Conference returns in-person as a satellite event to NeurlPS (Neural Information Processing Systems) in New Orleans on Dec. 2nd. This is an opportunity to be part of the biggest PyTorch event of the year!
When: Dec 2nd, 2022
Where: New Orleans, Louisiana (USA) at Generations Hall | Virtual option as well
What: The PyTorch Conference brings together leading academics, researchers and developers from the Machine Learning community to learn more about software releases on PyTorch, ways PyTorch is being used in academia and industry, development in trends, and more.
Join us for technical talks, project deep dives, and a poster exhibition with the opportunity to meet the authors to learn more about their PyTorch projects and network with the machine learning community. There will also be a virtual option for those who can’t join in-person. More information will be shared soon.
How: If you would like to contribute, submit your content for consideration in this form by Sept. 30th. Please note that we can not accept all submissions.
Guidelines for Content: When submitting content, it must meet the following criteria:
- Product/features are launched and available at the time of event
- Product/features must be an open source project
- Product/features are new or innovative to the community
- Content can be shared openly with the community
Questions: Contact pytorch-marketing@fb.com
Past Events
PyTorch Developer Day 2021
The PyTorch Developer Day is a virtual event that brings together leading researchers and developers from the Machine Learning (ML) community to join a multiple set of talks covering new software releases, ways PyTorch is being used in academia and industry, and current trends in ML development. Find all the talks below:
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Keynotes: Learn about the innovations, the new features, updates, and release of PyTorch, and how industries are using it for production and deployment.
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Fireside Chat: An informal and intimate conversation with two pioneers in the field of AI (and PyTorch) sharing their thoughts and vision for the future, commentary on top-of-mind trends they are seeing.
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Community Talks: PyTorch has grown thanks to our community. Hear from our members on the work being done with PyTorch.
PyTorch Ecosystem Day 2021
PyTorch Ecosystem Day, a virtual event designed for our ecosystem and industry communities to showcase their work and discover new opportunities to collaborate. Join us for discussions on new developments, trends, challenges, and best practices through keynotes, breakout sessions, and a unique networking opportunity hosted through Gather.Town.
PyTorch Developer Day 2020
The PyTorch Developer Day, a virtual event that brings together leading researchers and developers from the Machine Learning (ML) community to join a multiple set of talks covering new software releases, ways PyTorch is being used in academia and industry, ML development trends, a poster session, and many opportunities for networking.
PyTorch Summer Hackathon 2020
The PyTorch Summer Hackathon, a virtual event that invites developers to hack with the PyTorch community to build innovative, impactful models, applications and other projects that create positive impact for businesses or people. In it, developers are able to put their machine learning skills to the test in one of the following categories:
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PyTorch Developer Tools : Tools or libraries designed to improve productivity and efficiency of PyTorch for researchers and developers.
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Web/Mobile Applications powered by PyTorch : Applications with web/mobile interfaces and/or embedded devices powered by PyTorch.
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PyTorch Responsible AI Development Tools : Tools, libraries, or web/mobile apps for responsible AI development.
PyTorch Community Voices
Bringing the community together through our collective voices
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PyTorch Developer Podcast
The PyTorch Developer Podcast is a place for the PyTorch dev team to do bite sized (10-20 min) topics about all sorts of internal development topics in PyTorch.