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X-WR-CALDESC:Events for PyTorch
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DTSTART;TZID=UTC:20250207T080000
DTEND;TZID=UTC:20250207T100000
DTSTAMP:20260430T100336
CREATED:20250209T100836Z
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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/
CATEGORIES:PyTorch-hosted
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BEGIN:VEVENT
DTSTART;TZID=UTC:20250219T120000
DTEND;TZID=UTC:20250219T130000
DTSTAMP:20260430T100336
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/
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250228
DTEND;VALUE=DATE:20250301
DTSTAMP:20260430T100336
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/
CATEGORIES:PyTorch-hosted
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