PyTorch New York Meetup

Date: March 9, 2023, 3 PM PT
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PyTorch 2.0 Ask the Engineers Live Q&A Series: 2D + Distributed Tensor

Date: March 1, 2023, 11 AM PST
Speakers: Wanchao Liang and Junjie Wang
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PyTorch 2.0 Ask the Engineers Live Q&A Series: TorchMultiModal

Date: February 23, 2023, 11 AM PST
Speakers: Kartikay Khandelwal and Ankita De
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PyTorch 2.0 Ask the Engineers Live Q&A Series: Torch RL

Date: February 15, 2023, 10AM PST
Speaker: Vincent Moens
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PyTorch 2.0 Ask the Engineers Live Q&A Series: Dynamic Shapes and Calculating Maximum Batch Size

Date: February 7, 2023, 1PM PST
Speakers: Edward Yang and Elias Ellison
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PyTorch 2.0 Ask the Engineers Live Q&A Series: Optimizing Transformers for Inference

Date: February 2, 2023, 1PM PST
Speakers: Hamid Shojanazeri and Mark Saroufim
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PyTorch 2.0 Ask the Engineers Live Q&A Series: Rethinking Data Loading with TorchData

Date: February 1, 2023, 11AM PST
Speakers: Kevin Tse and Erjia Guan
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PyTorch 2.0 Ask the Engineers Live Q&A Series: A deep dive on TorchInductor and PT2 Backend Integration

Date: January 25, 2023, 11AM PST
Speakers: Natalia Gimelshein, Bin Bao, Sherlock Huang and Eikan Wang
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PyTorch 2.0 Ask the Engineers Live Q&A Series: DDP/FDSP Support

Date: January 24, 2023, 2PM PST
Speaker: Will Constable
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PyTorch Conference – Dec 2nd 2022

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. Find the full list of talks below:

• Keynotes and Technical Talks
• Breakout Sessions
• Community and Partner Talks
• Panel Discussion, PyTorch on Mars and AI Art
• Posters

Webinar: PyTorch, a Foundation for Open Source AI/ML

Date: Thursday, September 28, 2022 at 7:30am PT

Join us for a conversation between Soumith Chintala and Ibrahim Haddad about the creation of PyTorch Foundation. Over 150,000 developers and 18,000 organizations work with PyTorch today. In this conversation you will learn about:

• PyTorch’s evolution as an open source project

• Where PyTorch is used in production environments and in academic settings

• Next steps for the project under the PyTorch Foundation

Register here

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:

• Keynotes: Learn about the innovations, the new features, updates, and release of PyTorch, and how industries are using it for production and deployment.

• 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.

• 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:

• PyTorch Developer Tools : Tools or libraries designed to improve productivity and efficiency of PyTorch for researchers and developers.

• Web/Mobile Applications powered by PyTorch : Applications with web/mobile interfaces and/or embedded devices powered by PyTorch.

• PyTorch Responsible AI Development Tools : Tools, libraries, or web/mobile apps for responsible AI development.