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. There will also be ample opportunity for networking with your peers and colleagues.

Call for Content Now Open!

We want to hear from you, our community. Submit your poster abstracts today. Please submit the title and brief summary of your project, tools, and libraries that could benefit PyTorch researchers in academia and industry, application developers, and ML engineers for consideration. The focus must be on academic papers, machine learning research, or open-source projects related to PyTorch development, Responsible AI or Mobile. Please no sales pitches. Deadline for submission is September 24, 2021.

Submit your Poster abstract HERE You can submit your poster abstract in your registration form.

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.