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DTSTART;TZID=America/Los_Angeles:20250814T100000
DTEND;TZID=America/Los_Angeles:20250814T110000
DTSTAMP:20250901T204400
CREATED:20250718T163422Z
LAST-MODIFIED:20250821T013230Z
UID:10000042-1755165600-1755169200@pytorch.org
SUMMARY:PyTorch 2.8 Live Release Q&A
DESCRIPTION: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. \nCharlie 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. \nJonathan 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. \nRalf 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. \nEli 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 \nWatch on demand on YouTube.
URL:https://pytorch.org/event/pytorch-live-2-8-release-qa/
CATEGORIES:PyTorch-hosted
ATTACH;FMTTYPE=image/png:https://pytorch.org/wp-content/uploads/2025/07/2.8-1-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250806T110000
DTEND;TZID=America/Los_Angeles:20250806T120000
DTSTAMP:20250901T204400
CREATED:20250707T201254Z
LAST-MODIFIED:20250811T204034Z
UID:10000040-1754478000-1754481600@pytorch.org
SUMMARY:verl: Flexible and Scalable Reinforcement Learning Library for LLM Reasoning and Tool-Calling
DESCRIPTION:Speaker: Haibin Lin \n\nverl 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.\n\n\n\n\nHaibin 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).\n\n\n\nLinkedIn\nGitHub
URL:https://pytorch.org/event/verl-flexible-and-scalable-reinforcement-learning-library-for-llm-reasoning-and-tool-calling/
CATEGORIES:PyTorch-hosted
ATTACH;FMTTYPE=image/png:https://pytorch.org/wp-content/uploads/2025/07/Haibin-Lin.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250612T120000
DTEND;TZID=America/Los_Angeles:20250612T130000
DTSTAMP:20250901T204400
CREATED:20250530T200058Z
LAST-MODIFIED:20250715T224455Z
UID:10000038-1749729600-1749733200@pytorch.org
SUMMARY:Accelerating DLRMv2 Inference on Arm Neoverse CPUs with PyTorch
DESCRIPTION:Speaker: Annop Wongwathanarat \nAnnop 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. \nThe webinar\, “Accelerating DLRMv2 Inference on Arm Neoverse CPUs with PyTorch\,” took place on Thursday\, June 12 at 12 pm PST.
URL:https://pytorch.org/event/accelerating-dlrmv2-inference-on-arm-neoverse-cpus-with-pytorch/
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250330T130000
DTEND;TZID=UTC:20250330T180000
DTSTAMP:20250901T204400
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/
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250327T120000
DTEND;TZID=UTC:20250327T140000
DTSTAMP:20250901T204400
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/
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250228
DTEND;VALUE=DATE:20250301
DTSTAMP:20250901T204400
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250219T120000
DTEND;TZID=UTC:20250219T130000
DTSTAMP:20250901T204400
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;TZID=UTC:20250207T080000
DTEND;TZID=UTC:20250207T100000
DTSTAMP:20250901T204400
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/
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250124T130000
DTEND;TZID=UTC:20250124T140000
DTSTAMP:20250901T204400
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/
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20241130
DTEND;VALUE=DATE:20241201
DTSTAMP:20250901T204400
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/
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240918
DTEND;VALUE=DATE:20240920
DTSTAMP:20250901T204400
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/
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240815
DTEND;VALUE=DATE:20240816
DTSTAMP:20250901T204400
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/
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240604
DTEND;VALUE=DATE:20240621
DTSTAMP:20250901T204400
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/
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231016
DTEND;VALUE=DATE:20231018
DTSTAMP:20250901T204400
CREATED:20241205T100842Z
LAST-MODIFIED:20250328T113138Z
UID:10000004-1697414400-1697587199@pytorch.org
SUMMARY:PyTorch Conference 2023
DESCRIPTION:The conference will showcase PyTorch 2.1\, the next-generation release of the popular machine learning framework. As part of the Linux Foundation\, the PyTorch Foundation Conference continues the tradition of bringing together leading researchers\, developers\, and academic communities to advance the education and development of end-to-end machine learning. \nThe conference agenda features an engaging lineup of events\, including an opening reception\, engaging community and partner discussions\, informative panels\, poster sessions\, enlightening use cases and community stories\, as well as discussions on the latest trends in machine learning and deep learning development and deployment.
URL:https://pytorch.org/event/pytorch-conference-2023/
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230531
DTEND;VALUE=DATE:20230601
DTSTAMP:20250901T204400
CREATED:20241205T100938Z
LAST-MODIFIED:20250328T113138Z
UID:10000005-1685491200-1685577599@pytorch.org
SUMMARY:PyTorch 2023 Docathon
DESCRIPTION:We are excited to announce the first-ever PyTorch Docathon! \nThe Docathon is a hackathon-style event focused on improving documentation by enlisting the community’s help. Documentation is a crucial aspect of any technology. \nBy improving the documentation\, we can make it easier for users to get started with PyTorch\, help them understand how to use its features effectively\, and ultimately accelerate research to production in the field of machine learning. \nDetails for the Docathon will be announced at the kick-off call on May 31.
URL:https://pytorch.org/event/pytorch-2023-docathon/
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230510
DTEND;VALUE=DATE:20230511
DTSTAMP:20250901T204400
CREATED:20241205T101104Z
LAST-MODIFIED:20250328T113138Z
UID:10000006-1683676800-1683763199@pytorch.org
SUMMARY:Vancouver Meetup
DESCRIPTION:Agenda\n3:45 pm – Meet in lobby and check in\n4:00 – 4:30 pm – Generative AI and Stable Diffusion – Will Berman | Hugging Face\n4:30 – 5:00 pm – Joe Spisak & Milad Mohammadi | Open XLA\n5:00 – 5:10 pm – Break\n5:10 – 5:40 pm – How and why to become a contributor to PyTorch – Dmitry Vinnik | Meta\n5:40 – 6:00 pm – Social/networking
URL:https://pytorch.org/event/vancouver-meetup/
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230309
DTEND;VALUE=DATE:20230310
DTSTAMP:20250901T204400
CREATED:20241205T101530Z
LAST-MODIFIED:20250328T113139Z
UID:10000007-1678320000-1678406399@pytorch.org
SUMMARY:PyTorch New York Meetup
DESCRIPTION:Watch on YouTube
URL:https://pytorch.org/event/pytorch-new-york-meetup/
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230301
DTEND;VALUE=DATE:20230302
DTSTAMP:20250901T204400
CREATED:20241205T101629Z
LAST-MODIFIED:20250328T113139Z
UID:10000008-1677628800-1677715199@pytorch.org
SUMMARY:PyTorch 2.0 Ask the Engineers Live Q&A Series: 2D + Distributed Tensor
DESCRIPTION:Speakers: Wanchao Liang and Junjie Wang\nWatch on YouTube\nWatch on LinkedIn
URL:https://pytorch.org/event/pytorch-2-0-ask-the-engineers-live-qa-series-2d-distributed-tensor/
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230223
DTEND;VALUE=DATE:20230224
DTSTAMP:20250901T204400
CREATED:20241205T101707Z
LAST-MODIFIED:20250328T113139Z
UID:10000009-1677110400-1677196799@pytorch.org
SUMMARY:PyTorch 2.0 Ask the Engineers Live Q&A Series: TorchMultiModal
DESCRIPTION:Speakers: Kartikay Khandelwal and Ankita De\nWatch on YouTube\nWatch on LinkedIn
URL:https://pytorch.org/event/pytorch-2-0-ask-the-engineers-live-qa-series-torchmultimodal/
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230215
DTEND;VALUE=DATE:20230216
DTSTAMP:20250901T204400
CREATED:20241205T101739Z
LAST-MODIFIED:20250328T113139Z
UID:10000010-1676419200-1676505599@pytorch.org
SUMMARY:PyTorch 2.0 Ask the Engineers Live Q&A Series: Torch RL
DESCRIPTION:Speaker: Vincent Moens\nWatch on YouTube\nWatch on LinkedIn
URL:https://pytorch.org/event/pytorch-2-0-ask-the-engineers-live-qa-series-torch-rl/
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230207
DTEND;VALUE=DATE:20230208
DTSTAMP:20250901T204400
CREATED:20241205T101805Z
LAST-MODIFIED:20250328T113139Z
UID:10000011-1675728000-1675814399@pytorch.org
SUMMARY:PyTorch 2.0 Ask the Engineers Live Q&A Series: Dynamic Shapes and Calculating Maximum Batch Size
DESCRIPTION:Speakers: Edward Yang and Elias Ellison\nWatch on YouTube\nWatch on LinkedIn
URL:https://pytorch.org/event/pytorch-2-0-ask-the-engineers-live-qa-series-dynamic-shapes-and-calculating-maximum-batch-size/
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230202
DTEND;VALUE=DATE:20230203
DTSTAMP:20250901T204400
CREATED:20241205T101845Z
LAST-MODIFIED:20250328T113139Z
UID:10000012-1675296000-1675382399@pytorch.org
SUMMARY:PyTorch 2.0 Ask the Engineers Live Q&A Series: Optimizing Transformers for Inference
DESCRIPTION:Speakers: Hamid Shojanazeri and Mark Saroufim\nWatch on YouTube\nWatch on LinkedIn
URL:https://pytorch.org/event/pytorch-2-0-ask-the-engineers-live-qa-series-optimizing-transformers-for-inference/
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230201
DTEND;VALUE=DATE:20230202
DTSTAMP:20250901T204400
CREATED:20241205T101912Z
LAST-MODIFIED:20250328T113139Z
UID:10000013-1675209600-1675295999@pytorch.org
SUMMARY:PyTorch 2.0 Ask the Engineers Live Q&A Series: Rethinking Data Loading with TorchData
DESCRIPTION:Speakers: Kevin Tse and Erjia Guan\nWatch on YouTube\nWatch on LinkedIn
URL:https://pytorch.org/event/pytorch-2-0-ask-the-engineers-live-qa-series-rethinking-data-loading-with-torchdata/
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230125
DTEND;VALUE=DATE:20230126
DTSTAMP:20250901T204400
CREATED:20241205T101939Z
LAST-MODIFIED:20250328T113139Z
UID:10000014-1674604800-1674691199@pytorch.org
SUMMARY:PyTorch 2.0 Ask the Engineers Live Q&A Series: A deep dive on TorchInductor and PT2 Backend Integration
DESCRIPTION:Speakers: Natalia Gimelshein\, Bin Bao\, Sherlock Huang and Eikan Wang\nWatch on YouTube\nWatch on LinkedIn
URL:https://pytorch.org/event/pytorch-2-0-ask-the-engineers-live-qa-series-a-deep-dive-on-torchinductor-and-pt2-backend-integration/
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230124
DTEND;VALUE=DATE:20230125
DTSTAMP:20250901T204400
CREATED:20241205T102049Z
LAST-MODIFIED:20250328T113139Z
UID:10000015-1674518400-1674604799@pytorch.org
SUMMARY:PyTorch 2.0 Ask the Engineers Live Q&A Series: DDP/FDSP Support
DESCRIPTION:Speaker: Will Constable\nWatch on YouTube\nWatch on LinkedIn
URL:https://pytorch.org/event/pytorch-2-0-ask-the-engineers-live-qa-series-ddp-fdsp-support/
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20221202
DTEND;VALUE=DATE:20221203
DTSTAMP:20250901T204400
CREATED:20241205T102126Z
LAST-MODIFIED:20250328T113139Z
UID:10000016-1669939200-1670025599@pytorch.org
SUMMARY:PyTorch Conference – Dec 2nd 2022
DESCRIPTION:The PyTorch Conference brings together leading academics\, researchers and developers from the Machine Learning community to learn more about software releases on PyTorch\, ways PyTorch is being used in academia and industry\, development in trends\, and more. Find the full list of talks below: \n\nKeynotes and Technical Talks\nBreakout Sessions\nCommunity and Partner Talks\nPanel Discussion\, PyTorch on Mars and AI Art\nPosters
URL:https://pytorch.org/event/pytorch-conference-dec-2nd-2022/
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20220928
DTEND;VALUE=DATE:20220929
DTSTAMP:20250901T204400
CREATED:20241205T102222Z
LAST-MODIFIED:20250328T113140Z
UID:10000017-1664323200-1664409599@pytorch.org
SUMMARY:Webinar: PyTorch\, a Foundation for Open Source AI/ML
DESCRIPTION:Join us for a conversation between Soumith Chintala and Ibrahim Haddad about the creation of PyTorch Foundation. Over 150\,000 developers and 18\,000 organizations work with PyTorch today. In this conversation you will learn about: \n\nPyTorch’s evolution as an open source project\nWhere PyTorch is used in production environments and in academic settings\nNext steps for the project under the PyTorch Foundation
URL:https://pytorch.org/event/webinar-pytorch-a-foundation-for-open-source-ai-ml/
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20211201
DTEND;VALUE=DATE:20211203
DTSTAMP:20250901T204400
CREATED:20241205T102316Z
LAST-MODIFIED:20250328T113140Z
UID:10000018-1638316800-1638489599@pytorch.org
SUMMARY:PyTorch Developer Day 2021
DESCRIPTION: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. Find all the talks below: \n\nKeynotes: Learn about the innovations\, the new features\, updates\, and release of PyTorch\, and how industries are using it for production and deployment.\nFireside Chat: An informal and intimate conversation with two pioneers in the field of AI (and PyTorch) sharing their thoughts and vision for the future\, commentary on top-of-mind trends they are seeing.\nCommunity Talks: PyTorch has grown thanks to our community. Hear from our members on the work being done with PyTorch.
URL:https://pytorch.org/event/pytorch-developer-day-2021/
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210421
DTEND;VALUE=DATE:20210422
DTSTAMP:20250901T204400
CREATED:20241205T102356Z
LAST-MODIFIED:20250328T113140Z
UID:10000019-1618963200-1619049599@pytorch.org
SUMMARY:PyTorch Ecosystem Day 2021
DESCRIPTION: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.
URL:https://pytorch.org/event/pytorch-ecosystem-day-2021/
CATEGORIES:PyTorch-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20201112
DTEND;VALUE=DATE:20201113
DTSTAMP:20250901T204400
CREATED:20241205T102449Z
LAST-MODIFIED:20250328T113140Z
UID:10000020-1605139200-1605225599@pytorch.org
SUMMARY:PyTorch Developer Day 2020
DESCRIPTION: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.
URL:https://pytorch.org/event/pytorch-developer-day-2020/
CATEGORIES:PyTorch-hosted
END:VEVENT
END:VCALENDAR