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BEGIN:VEVENT
DTSTART;VALUE=DATE:20250603
DTEND;VALUE=DATE:20250619
DTSTAMP:20260430T070218
CREATED:20250503T160842Z
LAST-MODIFIED:20250527T202841Z
UID:10000035-1748908800-1750291199@pytorch.org
SUMMARY:Docathon 2025
DESCRIPTION: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. \nRSVP Now
URL:https://pytorch.org/event/docathon-2025/
LOCATION:CA
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250602
DTEND;VALUE=DATE:20250609
DTSTAMP:20260430T070218
CREATED:20260120T055543Z
LAST-MODIFIED:20260120T055543Z
UID:10000086-1748822400-1749427199@pytorch.org
SUMMARY:NYC Tech Week
DESCRIPTION:
URL:https://pytorch.org/event/nyc-tech-week/
LOCATION:New York City\, United States\, New York City\, NY\, United States
CATEGORIES:Community-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250521T110000
DTEND;TZID=America/Los_Angeles:20250521T120000
DTSTAMP:20260430T070218
CREATED:20250503T160632Z
LAST-MODIFIED:20250609T192207Z
UID:10000034-1747825200-1747828800@pytorch.org
SUMMARY:Towards Autonomous Language Model Systems
DESCRIPTION:Speaker: Ofir Press \nLanguage 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? \nIn 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. \nSWE-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. \nOfir 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. \nWatch the full recording here\n.
URL:https://pytorch.org/event/towards-autonomous-language-model-systems/
LOCATION:CA
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250521
DTEND;VALUE=DATE:20250522
DTSTAMP:20260430T070218
CREATED:20260120T060418Z
LAST-MODIFIED:20260120T060418Z
UID:10000087-1747785600-1747871999@pytorch.org
SUMMARY:Northwestern University: PyTorch Hands-On Demo
DESCRIPTION:
URL:https://pytorch.org/event/northwestern-university-pytorch-hands-on-demo/
LOCATION:Chicago\, United States\, Chicago\, IL\, United States
CATEGORIES:Community-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250519
DTEND;VALUE=DATE:20250521
DTSTAMP:20260430T070218
CREATED:20260120T060454Z
LAST-MODIFIED:20260120T060454Z
UID:10000088-1747612800-1747785599@pytorch.org
SUMMARY:Gamesbeat Summit 2025
DESCRIPTION:
URL:https://pytorch.org/event/gamesbeat-summit-2025/
LOCATION:Los Angeles\, United States\, Los Angeles\, CA\, United States
CATEGORIES:Community-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250517
DTEND;VALUE=DATE:20250518
DTSTAMP:20260430T070218
CREATED:20260120T060533Z
LAST-MODIFIED:20260120T060533Z
UID:10000089-1747440000-1747526399@pytorch.org
SUMMARY:PyTorch Hangzhou Meetup 2025
DESCRIPTION:
URL:https://pytorch.org/event/pytorch-hangzhou-meetup-2025/
LOCATION:Hangzhou\, China\, Hangzhou\, China
CATEGORIES:Community-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250514
DTEND;VALUE=DATE:20250523
DTSTAMP:20260430T070218
CREATED:20260120T060632Z
LAST-MODIFIED:20260120T060632Z
UID:10000090-1747180800-1747958399@pytorch.org
SUMMARY:PyConUS 2025
DESCRIPTION:
URL:https://pytorch.org/event/pyconus-2025/
LOCATION:Pittsburgh\, United States\, Pittsburgh\, PA\, United States
CATEGORIES:Community-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250512
DTEND;VALUE=DATE:20250516
DTSTAMP:20260430T070218
CREATED:20260120T060714Z
LAST-MODIFIED:20260120T060714Z
UID:10000091-1747008000-1747353599@pytorch.org
SUMMARY:MLSys
DESCRIPTION:
URL:https://pytorch.org/event/mlsys/
LOCATION:Santa Clara\, United States\, Santa Clara\, CA\, United States
CATEGORIES:Community-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250507
DTEND;VALUE=DATE:20250508
DTSTAMP:20260430T070218
CREATED:20250503T160303Z
LAST-MODIFIED:20250503T160407Z
UID:10000033-1746576000-1746662399@pytorch.org
SUMMARY:PyTorch Day France 2025: Registration Open
DESCRIPTION: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. \nRegister Now
URL:https://pytorch.org/event/pytorch-day-france-2025-registration-open/
LOCATION:CA
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250506
DTEND;VALUE=DATE:20250508
DTSTAMP:20260430T070218
CREATED:20260120T060752Z
LAST-MODIFIED:20260120T060752Z
UID:10000092-1746489600-1746662399@pytorch.org
SUMMARY:GOSIM AI
DESCRIPTION:
URL:https://pytorch.org/event/gosim-ai/
LOCATION:Paris\, France\, Paris\, France
CATEGORIES:Community-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250430
DTEND;VALUE=DATE:20250501
DTSTAMP:20260430T070218
CREATED:20260120T060848Z
LAST-MODIFIED:20260120T060848Z
UID:10000093-1745971200-1746057599@pytorch.org
SUMMARY:PyTorch ATX Community Meetup
DESCRIPTION:
URL:https://pytorch.org/event/pytorch-atx-community-meetup/
LOCATION:Austin\, United States\, Austin\, TX\, United States
CATEGORIES:Community-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250428T120000
DTEND;TZID=America/Los_Angeles:20250428T140000
DTSTAMP:20260430T070218
CREATED:20250503T161230Z
LAST-MODIFIED:20250503T161302Z
UID:10000037-1745841600-1745848800@pytorch.org
SUMMARY:PyTorch 2.7 Release Live Q&A
DESCRIPTION:  \nSpeakers: Piotr Bialecki (NVIDIA) and Nikita Shulga (Meta) \nHave 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. \nPiotr 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. \nNikita 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). \nBring your PyTorch 2.7 questions for Piotr & Nikita during this live Q&A session. \nWatch the recording:
URL:https://pytorch.org/event/pytorch-2-7-release-live-qa/
LOCATION:CA
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250424
DTEND;VALUE=DATE:20250429
DTSTAMP:20260430T070218
CREATED:20260120T060934Z
LAST-MODIFIED:20260120T060934Z
UID:10000094-1745452800-1745884799@pytorch.org
SUMMARY:ICLR 2025
DESCRIPTION:
URL:https://pytorch.org/event/iclr-2025/
LOCATION:Singapore\, Singapore\, Singapore
CATEGORIES:Community-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250423
DTEND;VALUE=DATE:20250425
DTSTAMP:20260430T070218
CREATED:20260120T061024Z
LAST-MODIFIED:20260120T061024Z
UID:10000095-1745366400-1745539199@pytorch.org
SUMMARY:Dubai AI Festival
DESCRIPTION:
URL:https://pytorch.org/event/dubai-ai-festival/
LOCATION:Dubai\, UAE\, Dubai\, United Arab Emirates
CATEGORIES:Community-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250330T130000
DTEND;TZID=UTC:20250330T180000
DTSTAMP:20260430T070218
CREATED:20250317T154632Z
LAST-MODIFIED:20250328T113137Z
UID:10000029-1743339600-1743357600@pytorch.org
SUMMARY:PyTorch KR Conference
DESCRIPTION:Location: Seoul\, Republic of Korea \nHear from speakers from the PyTorch Foundation\, Meta\, FuriosaAI\, Lablup\, Nota AI\, Rebellions\, etc. \nEvent Info
URL:https://pytorch.org/event/pytorch-kr-conference/
LOCATION:CA
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250327T120000
DTEND;TZID=UTC:20250327T140000
DTSTAMP:20260430T070218
CREATED:20250317T154350Z
LAST-MODIFIED:20250503T161411Z
UID:10000028-1743076800-1743084000@pytorch.org
SUMMARY:Using PyTorch and DINOv2 for Multi-label Plant Species Classification
DESCRIPTION:Speaker: Murilo Gustineli \nJoin 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. \nMurilo 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. \n Watch the recording:
URL:https://pytorch.org/event/using-pytorch-and-dinov2-for-multi-label-plant-species-classification-2/
LOCATION:CA
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250318
DTEND;VALUE=DATE:20250321
DTSTAMP:20260430T070218
CREATED:20260120T061133Z
LAST-MODIFIED:20260120T061133Z
UID:10000096-1742256000-1742515199@pytorch.org
SUMMARY:LF Member Summit
DESCRIPTION:
URL:https://pytorch.org/event/lf-member-summit/
LOCATION:Napa\, United States\, Napa\, CA\, United States
CATEGORIES:Community-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250317
DTEND;VALUE=DATE:20250322
DTSTAMP:20260430T070218
CREATED:20260120T061219Z
LAST-MODIFIED:20260120T061219Z
UID:10000097-1742169600-1742601599@pytorch.org
SUMMARY:Nvidia GTC 2025
DESCRIPTION:
URL:https://pytorch.org/event/nvidia-gtc-2025/
LOCATION:San Jose\, United States\, San Jose\, CA\, United States
CATEGORIES:Community-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250228
DTEND;VALUE=DATE:20250301
DTSTAMP:20260430T070218
CREATED:20250317T154824Z
LAST-MODIFIED:20250328T113138Z
UID:10000030-1740700800-1740787199@pytorch.org
SUMMARY:PyTorch Meetup at DevConf.IN 2025
DESCRIPTION:Location: Pune\, India \nEvent Blog
URL:https://pytorch.org/event/pytorch-meetup-at-devconf-in-2025/
LOCATION:CA
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250225
DTEND;VALUE=DATE:20250305
DTSTAMP:20260430T070218
CREATED:20260120T061331Z
LAST-MODIFIED:20260120T061331Z
UID:10000098-1740441600-1741132799@pytorch.org
SUMMARY:AAAI Conference on AI
DESCRIPTION:
URL:https://pytorch.org/event/aaai-conference-on-ai/
LOCATION:Philadelphia\, United States\, Philadelphia\, PA\, United States
CATEGORIES:Community-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250219T120000
DTEND;TZID=UTC:20250219T130000
DTSTAMP:20260430T070218
CREATED:20250209T101047Z
LAST-MODIFIED:20250328T113138Z
UID:10000025-1739966400-1739970000@pytorch.org
SUMMARY:Multi-Modal Tabular Deep Learning with PyTorch Frame
DESCRIPTION:  \nDate: February 19\, 12 pm PST\nSpeaker: Akihiro Nitta\, Software Engineer\, Kumo.ai\nLink to session video\nDownload slides \nIn 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. \nAkihiro 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.
URL:https://pytorch.org/event/multi-modal-tabular-deep-learning-with-pytorch-frame/
LOCATION:CA
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250213
DTEND;VALUE=DATE:20250214
DTSTAMP:20260430T070218
CREATED:20260120T061406Z
LAST-MODIFIED:20260120T061406Z
UID:10000099-1739404800-1739491199@pytorch.org
SUMMARY:Open Source Forum
DESCRIPTION:
URL:https://pytorch.org/event/open-source-forum/
LOCATION:Los Angeles\, United States\, Los Angeles\, CA\, United States
CATEGORIES:Community-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250207T080000
DTEND;TZID=UTC:20250207T100000
DTSTAMP:20260430T070218
CREATED:20250209T100836Z
LAST-MODIFIED:20250328T113138Z
UID:10000024-1738915200-1738922400@pytorch.org
SUMMARY:PyTorch 2.6 Live Q&A
DESCRIPTION:Date: February 7\, 10 am PST\nSpeaker: Nikita Shulga\nLocation: Online \nWondering 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). \nNikita 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). \nBring your PyTorch 2.6 questions for Nikita during this live Q&A session. \nWatch the recording: \n \n 
URL:https://pytorch.org/event/pytorch-2-6-live-qa/
LOCATION:CA
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250124T130000
DTEND;TZID=UTC:20250124T140000
DTSTAMP:20260430T070218
CREATED:20250209T101310Z
LAST-MODIFIED:20250328T113138Z
UID:10000026-1737723600-1737727200@pytorch.org
SUMMARY:AI-Powered Competitive Programming: My HackerCup 2024 Experience
DESCRIPTION:Speaker: Anton Pidkuiko\, Software Engineer\, Meta\nLocation: Online \nIn 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. \nAnton 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. \nWatch the recording now and access Anton’s presentation slides here.
URL:https://pytorch.org/event/ai-powered-competitive-programming-my-hackercup-2024-experience/
LOCATION:CA
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250122
DTEND;VALUE=DATE:20250123
DTSTAMP:20260430T070218
CREATED:20260120T061501Z
LAST-MODIFIED:20260120T061501Z
UID:10000100-1737504000-1737590399@pytorch.org
SUMMARY:Open Source AI Summit
DESCRIPTION:
URL:https://pytorch.org/event/open-source-ai-summit/
LOCATION:Paris\, France\, Paris\, France
CATEGORIES:Community-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250119
DTEND;VALUE=DATE:20250126
DTSTAMP:20260430T070218
CREATED:20250328T114502Z
LAST-MODIFIED:20250328T114502Z
UID:10000031-1737244800-1737849599@pytorch.org
SUMMARY:COLING 2025
DESCRIPTION:COLING\, the International Conference on Computational Linguistics\, is one of the premier conferences for the natural language processing and computational linguistics. \nFirst 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.
URL:https://pytorch.org/event/coling-2025/
LOCATION:CA
CATEGORIES:Community-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20241130
DTEND;VALUE=DATE:20241201
DTSTAMP:20260430T070218
CREATED:20241206T045212Z
LAST-MODIFIED:20250328T113138Z
UID:10000022-1732924800-1733011199@pytorch.org
SUMMARY:PyTorch Korea User Group Meetup
DESCRIPTION:Event info
URL:https://pytorch.org/event/pytorch-korea-user-group-meetup/
LOCATION:CA
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240918
DTEND;VALUE=DATE:20240920
DTSTAMP:20260430T070218
CREATED:20241205T100444Z
LAST-MODIFIED:20250328T113138Z
UID:10000002-1726617600-1726790399@pytorch.org
SUMMARY:PyTorch Conference 2024
DESCRIPTION: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.
URL:https://pytorch.org/event/pytorch-conference-2024/
LOCATION:CA
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240815
DTEND;VALUE=DATE:20240816
DTSTAMP:20260430T070218
CREATED:20241206T045242Z
LAST-MODIFIED:20250328T113138Z
UID:10000023-1723680000-1723766399@pytorch.org
SUMMARY:PyTorch Shanghai Meetup
DESCRIPTION:Read the notes
URL:https://pytorch.org/event/pytorch-shanghai-meetup/
LOCATION:CA
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240604
DTEND;VALUE=DATE:20240621
DTSTAMP:20260430T070218
CREATED:20241205T100732Z
LAST-MODIFIED:20250328T113138Z
UID:10000003-1717459200-1718927999@pytorch.org
SUMMARY:PyTorch Docathon 2024
DESCRIPTION: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. \nWhy Participate\nThe 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. \nEvent Details\n\nJune 4: Kick-off\nJune 4 – 16: Submissions and Feedback\nJune 17 – 18: Final Reviews\nJune 20: Winner Announcements\n\nFurther details for the Docathon will be announced at the Kick-off call on June 4.
URL:https://pytorch.org/event/pytorch-docathon-2024/
LOCATION:CA
CATEGORIES:PyTorch-hosted
END:VEVENT
END:VCALENDAR