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.

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:

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
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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.

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

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

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 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

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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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

PyTorch Day China 2025
2025-06-07
PyTorch Day China 2025, proudly hosted by the PyTorch Foundation, is the premier gathering dedicated to open-source AI and machine learning innovation. Scheduled for June 7th in Beijing, China and co-located with the BAAI Conference, 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 China 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.
Read more about the event

Accelerating DLRMv2 Inference on Arm Neoverse CPUs with PyTorch
2025-06-12 12:00 - 13:00 (America/Los_Angeles)
Speaker: Annop Wongwathanarat
Annop Wongwathanarat is a Principal Software Engineer focused on performance optimization and ML acceleration on Arm Neoverse CPUs. He specializes in low-level optimization, advanced vectorization, and hardware-aware techniques to enable efficient ML workloads. Annop leads efforts to enhance PyTorch performance on server-class Arm CPUs, bridging ML frameworks with next-gen Arm infrastructure.
The webinar, “Accelerating DLRMv2 Inference on Arm Neoverse CPUs with PyTorch,” took place on Thursday, June 12 at 12 pm PST.

verl: Flexible and Scalable Reinforcement Learning Library for LLM Reasoning and Tool-Calling
2025-08-06 11:00 - 12:00 (America/Los_Angeles)
Speaker: Haibin Lin

verl is a flexible and efficient framework for building end-to-end reinforcement learning pipelines for LLMs. It provides a user-friendly hybrid-controller programming model, supporting various algorithms such as PPO/GRPO/DAPO with effortless scaling. Recent trends in reasoning models bring new challenges to RL infrastructure, such as efficient tool calling, multi-turn interactions, and capability to scale up to giant MoE models like DeepSeek. To lower the barrier to RL for advanced reasoning and tool calling, we improve verl with (1) efficient request level async multi-turn rollout and tool calling, (2) integration with expert parallelism for large scale MoE models, (3) async system architecture for off-policy / async RL algorithms and flexible device placement.

Haibin Lin works on LLM infrastructure at Bytedance Seed, focusing on optimizing training performance for LLMs & multimodal understanding and generation models on large scale clusters, from pre-training to post-training. Before he joined Bytedance, he was working on Apache MXNet (training, inference, runtime, and recipes like gluon-nlp).

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PyTorch 2.8 Live Release Q&A
2025-08-14 10:00 - 11:00 (America/Los_Angeles)
Our PyTorch 2.8 Live Q&A webinar will focus on PyTorch packaging, exploring the release of wheel variant support as a new experimental feature in the 2.8 release. This feature is designed to improve the PyTorch install experience for users once it becomes generally available.
Charlie is the founder of Astral, whose tools like Ruff—a Python linter, formatter, and code transformation tool—and uv, a next-generation package and project manager, have seen rapid adoption across open source and enterprise, with over 100 million downloads per month.
Jonathan has contributed to deep learning libraries, compilers, and frameworks since 2019. At NVIDIA, Jonathan helped design release mechanisms and solve packaging challenges for GPU-accelerated Python libraries. A founding force behind WheelNext, Jonathan actively works on proofs of concept, demos, and PEPs.
Ralf is CEO, Technology at Quansight and a long-time maintainer of NumPy and SciPy. With over 15 years in the scientific Python ecosystem, Ralf also maintains meson-python, created the Array API standard and pypackaging-native, and focuses on building sustainable open source communities.
Eli Uriegas is a Staff Software Engineer at Meta and a key contributor to the PyTorch project. Eli focuses on improving the developer experience through infrastructure enhancements and the application of AI to developer tools, and is a maintainer of PyTorch’s build and CI systems
Watch on demand on YouTube.

PyTorch Conference 2025
2025-10-22 - 2025-10-23
Join us for PyTorch Conference 2025, October 22 – 23, 2025 in San Francisco – the world’s premier event dedicated to the framework powering today’s most groundbreaking AI innovations. Connect with AI pioneers, researchers, developers, and startup founders through deep-dive technical sessions, panels, workshops on AI from bare metal all the way up to the application and agent layers. Our program features keynotes from visionary AI leaders, interactive sessions on scaling and benchmarking models, and special tracks focusing on AI safety and ethical development.
Learn more and register at: https://events.linuxfoundation.org/pytorch-conference/

The Free Puppy: How to Responsibly Leverage Open Source AI
2025-11-06 09:00 - 10:00 (America/Los_Angeles)
Over the past few decades, the trajectory of AI and open source software has evolved in tandem, but with the recent explosion of LLMs and foundation models, “open source AI” has become a catch phrase meaning so many things to so many different people. Some definitions of open source AI are so specific that they leave out hugely popular projects; other definitions focus specifically on models, and many AI projects marketed as open source don’t actually fit within the industry definition of open source. With so many different definitions floating around, how can you know what you are getting when you engage with open source AI?
In this talk, we will review what makes something open source from an industry perspective, what to look for when evaluating the health, stability, and practicality of open source AI projects (or any open source project for that matter), and why it’s so important to ensure transparency and explainability when deploying open source AI applications. In addition, in this webinar, we will cover licensing considerations, how to evaluate the health of open source projects, how and when to leverage open source, and the importance of community.
Mo McElaney leads Open Source Developer Programs at IBM Research. For more than a decade, Mo has worked in open source, focusing on cloud data services, quantum computing, machine learning, and ethics in AI. They are on the content committee for PyCon US, a contributor to version 3 of the Contributor Covenant and Hippocratic License with the Organization for Ethical Source, and on the board of the Vermont Technology Alliance. Mo is a certified master gardener with the University of Vermont and lives in frosty Vermont with their family, cats, and many plants.
Register Now

Inside Helion: Live Q&A with the Developers
2025-12-11 11:00 - 12:00 (America/Los_Angeles)
Helion — a new Python-embedded domain-specific language (DSL) for wiring high-performance ML kernels — is built to compile down to Triton. Helion raises the level of abstraction for kernel authoring with PyTorch-centric syntax, making it dramatically easier to write correct, fast, and portable kernels. Its innovative autotuning system explores thousands of candidate Triton kernels to find the most performant implementation. Thus, automation handles complex, hardware-dependent details to ensure portability across different hardware architectures.
Now is your chance to meet the developers of Helion in a live Q&A!
Join us as we dive into:

The design philosophy and architecture of Helion
How autotuning delivers state-of-the-art performance across GPUs
What’s next on the roadmap — and how you can get involved

Whether you’re just curious about Helion or already experimenting with it, come ask your questions, share ideas, and connect with the team making performant kernel authoring easier.
Bios:

Jason Ansel: Research Scientist at Meta and the creator of PyTorch Compiler and Helion DSL
Oguz Ulgen: Software Engineer at Meta and the creator of the PyTorch Compiler cache, working on Helion
Will Feng: Software Engineer at Meta, working on PyTorch Compiler and Helion
Jongsok Choi: Engineering Manager at Met, supporting the PyTorch Compiler Backend (Inductor) team and Helion
