PyTorch Docathon 2024
2024-06-04 - 2024-06-20
The Docathon, similar to a hackathon, is an event focused on improving PyTorch documentation with help from our community. Quality documentation is crucial for any technology, and by enhancing it, we make it easier for new users to start with PyTorch, use its features effectively, and accelerate the shift from research to production in machine learning. See our previous events here and here.
Why Participate
The Docathon is an inclusive event designed to be accessible to newcomers, requiring only a basic understanding of Python, PyTorch, and Machine Learning, with some tasks not even requiring these skills. It offers a rewarding experience as participants can see the direct impact of their contributions on the project’s usability and accessibility. The Docathon promotes a collaborative environment, allowing participants to work with other contributors and PyTorch maintainers, fostering the exchange of ideas and networking. It also provides a rich learning experience, offering the opportunity to explore PyTorch modules, update docstrings, and test tutorials.
Event Details

June 4: Kick-off
June 4 – 16: Submissions and Feedback
June 17 – 18: Final Reviews
June 20: Winner Announcements

Further details for the Docathon will be announced at the Kick-off call on June 4.

PyTorch Shanghai Meetup
2024-08-15
Read the notes

PyTorch Conference 2024
2024-09-18 - 2024-09-19
Join us in San Francisco on September 18th-19th, and learn about PyTorch, the cutting-edge renowned open-source machine learning framework. This year is a two-day event that brings together top-tier researchers, developers, and academic communities, fostering collaboration and advancing end-to-end machine learning.

PyTorch Korea User Group Meetup
2024-11-30
Event info

COLING 2025
2025-01-19 - 2025-01-25
COLING, the International Conference on Computational Linguistics, is one of the premier conferences for the natural language processing and computational linguistics.
First established in 1965, the biennial COLING conference is held in diverse parts of the globe and attracts participants from both top-ranked research centers and emerging countries. Today, the most important developments in our field are taking place not only in universities and academic research institutes but also in industrial research departments including tech-startups. COLING provides opportunities for all these communities to showcase their exciting discovery.

Open Source AI Summit
2025-01-22 | Paris, France, Paris, France

AI-Powered Competitive Programming: My HackerCup 2024 Experience
2025-01-24 13:00 - 14:00 UTC
Speaker: Anton Pidkuiko, Software Engineer, Meta
Location: Online
In this talk, Anton shared how he built an AI agent that ranked #1 in the finals of Meta HackerCup 2024 (AI division). Anton developed a workflow that could solve the hardest competitive programming problems quickly and reliably. Anton will walk through how he used state-of-the-art reasoning LLM models, curated RAG, and leveraged cloud infrastructure to safely test and execute solutions at scale. This approach highlights the massive potential of test-time compute scaling and provides insights into AI’s future role in programming.
Anton Pidkuiko is a Software Engineer at Meta, Reality Labs in London. He is currently working on applying the power of Large Language Models to Metaverse Avatar product experiences.
Watch the recording now and access Anton’s presentation slides here.

PyTorch 2.6 Live Q&A
2025-02-07 08:00 - 10:00 UTC
Date: February 7, 10 am PST
Speaker: Nikita Shulga
Location: Online
Wondering what’s new in the recent PyTorch 2.6 release? Do you have questions? Join us for a live Q&A on PyTorch 2.6 with PyTorch Core Maintainer, Nikita Shulga (Meta).
Nikita is a Software Engineer at Meta where he is, among other things, responsible for PyTorch releases and continuous integration. Nikita is committed to uplifting the developer community and continuously improving PyTorch. He earned his Master’s degree in Applied Mathematics from the Moscow Institute of Physics and Technology (MIPT).
Bring your PyTorch 2.6 questions for Nikita during this live Q&A session.
Watch the recording:

Open Source Forum
2025-02-13 | Los Angeles, United States, Los Angeles, CA, United States

Multi-Modal Tabular Deep Learning with PyTorch Frame
2025-02-19 12:00 - 13:00 UTC
Date: February 19, 12 pm PST
Speaker: Akihiro Nitta, Software Engineer, Kumo.ai
Link to session video
Download slides
In this talk, Akihiro introduced PyTorch Frame, a modular framework for multi-modal tabular deep learning. PyTorch Frame enables seamless integration with the PyTorch ecosystem, including PyTorch Geometric for graph-based message passing across relational data and Hugging Face Transformers for extracting rich text features. The talk also highlights its specialized data structures for efficiently handling sparse features, making PyTorch Frame an essential tool for modern tabular data.
Akihiro Nitta is a software engineer on the ML team at Kumo.ai and a core contributor to PyTorch Frame and PyTorch Geometric, with prior experience as a maintainer of PyTorch Lightning.

AAAI Conference on AI
2025-02-25 - 2025-03-04 | Philadelphia, United States, Philadelphia, PA, United States

PyTorch Meetup at DevConf.IN 2025
2025-02-28
Location: Pune, India
Event Blog

Nvidia GTC 2025
2025-03-17 - 2025-03-21 | San Jose, United States, San Jose, CA, United States

LF Member Summit
2025-03-18 - 2025-03-20 | Napa, United States, Napa, CA, United States

Using PyTorch and DINOv2 for Multi-label Plant Species Classification
2025-03-27 12:00 - 14:00 UTC
Speaker: Murilo Gustineli
Join us for an engaging webinar on our innovative transfer learning approach using self-supervised Vision Transformers (DINOv2) for multi-label plant species classification in the PlantCLEF 2024 challenge. We’ll cover how we efficiently extract feature embeddings from a dataset of 1.4 million images and utilize PyTorch Lightning for model training and Apache Spark for data management. Learn about our image processing techniques, including transforming images into grids of tiles and aggregating predictions to overcome computational challenges. Discover the significant performance improvements achieved and get insights into multi-label image classification. Perfect for PyTorch developers, this session will include a Q&A and access to our complete codebase at github.com/dsgt-kaggle-clef/plantclef-2024.
Murilo Gustineli is a Senior AI Software Solutions Engineer at Intel, and is currently pursuing a Master’s in Computer Science at Georgia Tech focusing on machine learning. His work involves creating synthetic datasets, fine-tuning large language models, and training multi-modal models using Intel® Gaudi® Al accelerators as part of the Development Enablement team. He is particularly interested in deep learning, information retrieval, and biodiversity research, aiming to improve species identification and support conservation efforts. Visit Murilo on GitHub.
Watch the recording:

PyTorch KR Conference
2025-03-30 13:00 - 18:00 UTC
Location: Seoul, Republic of Korea
Hear from speakers from the PyTorch Foundation, Meta, FuriosaAI, Lablup, Nota AI, Rebellions, etc.
Event Info

Dubai AI Festival
2025-04-23 - 2025-04-24 | Dubai, UAE, Dubai, United Arab Emirates

ICLR 2025
2025-04-24 - 2025-04-28 | Singapore, Singapore, Singapore

PyTorch 2.7 Release Live Q&A
2025-04-28 12:00 - 14:00 (America/Los_Angeles)
Speakers: Piotr Bialecki (NVIDIA) and Nikita Shulga (Meta)
Have questions about PyTorch 2.7? Join PyTorch Core Maintainers Piotr Bialecki (NVIDIA) and Nikita Shulga (Meta) for a live Q&A session on Monday, April 28 at 12 PM PST.
Piotr joined the PyTorch team at NVIDIA in 2019 and currently manages the team. He drives NVIDIA’s effort in maintaining and advancing PyTorch’s CUDA backend and received the PyTorch SUPERHERO award in 2023 for his community contributions, especially in the PyTorch discussion board. As a Core Maintainer, he is also focused on PyTorch’s long-term vision and development.
Nikita is a Software Engineer at Meta where, among other things, he is responsible for PyTorch releases and continuous integration. Nikita is committed to uplifting the developer community and continuously improving PyTorch. He earned a Master’s degree in Applied Mathematics from the Moscow Institute of Physics and Technology (MIPT).
Bring your PyTorch 2.7 questions for Piotr & Nikita during this live Q&A session.
Watch the recording:

PyTorch ATX Community Meetup
2025-04-30 | Austin, United States, Austin, TX, United States

GOSIM AI
2025-05-06 - 2025-05-07 | Paris, France, Paris, France

PyTorch Day France 2025: Registration Open
2025-05-07
PyTorch Day France 2025, proudly hosted by the PyTorch Foundation, is the premier gathering dedicated to open-source AI and machine learning innovation. Scheduled for 7 May in Paris, France and co-located with the GOSIM AI Paris, this community-driven event provides an unparalleled platform for PyTorch enthusiasts, machine learning engineers, AI researchers, and industry professionals. Immerse yourself in a vibrant day of insightful technical talks, interactive discussions, and engaging poster sessions designed to foster knowledge exchange and collaboration. PyTorch Day France is your gateway to connecting with leading experts and peers in the open-source AI community, offering you unique opportunities to explore cutting-edge advancements and shape the future of deep learning.
Register Now

MLSys
2025-05-12 - 2025-05-15 | Santa Clara, United States, Santa Clara, CA, United States

PyConUS 2025
2025-05-14 - 2025-05-22 | Pittsburgh, United States, Pittsburgh, PA, United States

PyTorch Hangzhou Meetup 2025
2025-05-17 | Hangzhou, China, Hangzhou, China

Gamesbeat Summit 2025
2025-05-19 - 2025-05-20 | Los Angeles, United States, Los Angeles, CA, United States

Northwestern University: PyTorch Hands-On Demo
2025-05-21 | Chicago, United States, Chicago, IL, United States

Towards Autonomous Language Model Systems
2025-05-21 11:00 - 12:00 (America/Los_Angeles)
Speaker: Ofir Press
Language models (LMs) are increasingly used to assist users in day-to-day tasks such as programming (Github Copilot) or search (Google’s AI Overviews). But can we build language model systems that are able to autonomously complete entire tasks end-to-end?
In this talk, Ofir Press will discuss efforts to build autonomous LM systems, focusing on the software engineering domain. Ofir will present SWE-bench, a novel method for measuring AI systems on their abilities to fix real issues in popular software libraries. Ofir will then discuss SWE-agent, a system for solving SWE-bench tasks.
SWE-bench and SWE-agent are used by many leading AI organizations in academia and industry, including OpenAI, Anthropic, Meta, and Google, and SWE-bench has been downloaded over 2 million times. These projects show that academics on tight budgets can have a substantial impact in steering the research community toward building autonomous systems that can complete challenging tasks.
Ofir is a postdoc at Princeton University, where they mainly work with Karthik Narasimhan’s lab. Ofir previously completed their PhD at the University of Washington in Seattle, where Ofir was advised by Noah Smith. During their PhD, Ofir spent two years at Facebook AI Research Labs on Luke Zettlemoyer’s team.
Watch the full recording here
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NYC Tech Week
2025-06-02 - 2025-06-08 | New York City, United States, New York City, NY, United States

Docathon 2025
2025-06-03 - 2025-06-18
The PyTorch Docathon 2025, akin to a hackathon, is an event dedicated to enhancing the quality of the PyTorch documentation with the invaluable assistance of our community. This is an inclusive event designed to be accessible to all levels of expertise, from newcomers to experienced ML/PyTorch users. It offers a rewarding experience as participants can see the direct impact of their contributions on the project’s usability and accessibility. The Docathon promotes a collaborative environment, allowing participants to work with other contributors and PyTorch maintainers, fostering the exchange of ideas and networking. It also provides a rich learning experience, offering the opportunity to explore PyTorch modules, update docstrings, and test tutorials.
RSVP Now
