BEGIN:VCALENDAR VERSION:2.0 PRODID:-//PyTorch - ECPv6.15.17//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:PyTorch X-ORIGINAL-URL:https://pytorch.org X-WR-CALDESC:Events for PyTorch REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20240310T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20241103T090000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20250309T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20251102T090000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20260308T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20261101T090000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;VALUE=DATE:20251019 DTEND;VALUE=DATE:20251024 DTSTAMP:20260226T024955 CREATED:20260120T052331Z LAST-MODIFIED:20260120T052331Z UID:10000065-1760832000-1761263999@pytorch.org SUMMARY:ICCV 2025 DESCRIPTION: URL:https://pytorch.org/event/iccv-2025/ LOCATION:Honolulu\, United States\, Honolulu\, HI\, United States CATEGORIES:Community-hosted END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20251018 DTEND;VALUE=DATE:20251027 DTSTAMP:20260226T024955 CREATED:20260120T052441Z LAST-MODIFIED:20260120T052441Z UID:10000066-1760745600-1761523199@pytorch.org SUMMARY:Open Source AI Week DESCRIPTION: URL:https://pytorch.org/event/open-source-ai-week/ LOCATION:San Francisco\, CA\, San Francisco\, CA\, United States CATEGORIES:Community-hosted END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20251018 DTEND;VALUE=DATE:20251021 DTSTAMP:20260226T024955 CREATED:20260120T052752Z LAST-MODIFIED:20260120T052752Z UID:10000067-1760745600-1761004799@pytorch.org SUMMARY:Synthetic Data AI Agents Challenge DESCRIPTION: URL:https://pytorch.org/event/synthetic-data-ai-agents-challenge/ LOCATION:CA CATEGORIES:Community-hosted END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20251013 DTEND;VALUE=DATE:20251020 DTSTAMP:20260226T024955 CREATED:20260120T052915Z LAST-MODIFIED:20260120T052915Z UID:10000068-1760313600-1760918399@pytorch.org SUMMARY:LA Tech Week DESCRIPTION: URL:https://pytorch.org/event/la-tech-week/ LOCATION:Los Angeles\, United States\, Los Angeles\, CA\, United States CATEGORIES:Community-hosted END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20251012 DTEND;VALUE=DATE:20251015 DTSTAMP:20260226T024955 CREATED:20260120T053023Z LAST-MODIFIED:20260120T053023Z UID:10000069-1760227200-1760486399@pytorch.org SUMMARY:All Things Open DESCRIPTION: URL:https://pytorch.org/event/all-things-open/ LOCATION:Raleigh\, United States\, Raleigh\, NC\, United States CATEGORIES:Community-hosted END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20251006 DTEND;VALUE=DATE:20251013 DTSTAMP:20260226T024955 CREATED:20260120T053109Z LAST-MODIFIED:20260120T053109Z UID:10000070-1759708800-1760313599@pytorch.org SUMMARY:San Francisco Tech Week DESCRIPTION: URL:https://pytorch.org/event/san-francisco-tech-week/ LOCATION:San Francisco\, CA\, San Francisco\, CA\, United States CATEGORIES:Community-hosted END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250924 DTEND;VALUE=DATE:20250926 DTSTAMP:20260226T024955 CREATED:20260120T053210Z LAST-MODIFIED:20260120T053210Z UID:10000071-1758672000-1758844799@pytorch.org SUMMARY:ALL IN DESCRIPTION: URL:https://pytorch.org/event/all-in/ LOCATION:Montreal\, Canada\, Montreal\, Canada CATEGORIES:Community-hosted END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250920 DTEND;VALUE=DATE:20250921 DTSTAMP:20260226T024955 CREATED:20260120T054331Z LAST-MODIFIED:20260120T054331Z UID:10000072-1758326400-1758412799@pytorch.org SUMMARY:PyTorch Meetup Beijing DESCRIPTION: URL:https://pytorch.org/event/pytorch-meetup-beijing/ LOCATION:Beijing\, China\, Beijing\, China CATEGORIES:Community-hosted END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250913 DTEND;VALUE=DATE:20250915 DTSTAMP:20260226T024955 CREATED:20260120T054424Z LAST-MODIFIED:20260120T054424Z UID:10000073-1757721600-1757894399@pytorch.org SUMMARY:GOSIM Hangzhou 2025 DESCRIPTION: URL:https://pytorch.org/event/gosim-hangzhou-2025/ LOCATION:Hangzhou\, China\, Hangzhou\, China CATEGORIES:Community-hosted END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250814T100000 DTEND;TZID=America/Los_Angeles:20250814T110000 DTSTAMP:20260226T024955 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/ LOCATION:CA 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;VALUE=DATE:20250810 DTEND;VALUE=DATE:20250815 DTSTAMP:20260226T024955 CREATED:20260120T054540Z LAST-MODIFIED:20260120T054540Z UID:10000074-1754784000-1755215999@pytorch.org SUMMARY:SIGGRAPH 2025 DESCRIPTION: URL:https://pytorch.org/event/siggraph-2025/ LOCATION:Vancouver\, Canada\, Vancouver\, Canada CATEGORIES:Community-hosted END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250806T110000 DTEND;TZID=America/Los_Angeles:20250806T120000 DTSTAMP:20260226T024955 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/ LOCATION:CA CATEGORIES:PyTorch-hosted ATTACH;FMTTYPE=image/png:https://pytorch.org/wp-content/uploads/2025/07/Haibin-Lin.png END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250802 DTEND;VALUE=DATE:20250803 DTSTAMP:20260226T024955 CREATED:20260120T054645Z LAST-MODIFIED:20260120T054645Z UID:10000076-1754092800-1754179199@pytorch.org SUMMARY:vLLM Beijing Meetup DESCRIPTION: URL:https://pytorch.org/event/vllm-beijing-meetup/ LOCATION:Beijing\, China\, Beijing\, China CATEGORIES:Community-hosted END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250802 DTEND;VALUE=DATE:20250803 DTSTAMP:20260226T024955 CREATED:20260120T054616Z LAST-MODIFIED:20260120T054616Z UID:10000075-1754092800-1754179199@pytorch.org SUMMARY:Agentic AI Summit DESCRIPTION: URL:https://pytorch.org/event/agentic-ai-summit/ LOCATION:Berkeley\, CA\, Berkeley\, CA\, United States CATEGORIES:Community-hosted END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250713 DTEND;VALUE=DATE:20250720 DTSTAMP:20260226T024955 CREATED:20260120T054729Z LAST-MODIFIED:20260120T054729Z UID:10000077-1752364800-1752969599@pytorch.org SUMMARY:ICML 2025 DESCRIPTION: URL:https://pytorch.org/event/icml-2025/ LOCATION:Vancouver\, Canada\, Vancouver\, Canada CATEGORIES:Community-hosted END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250709 DTEND;VALUE=DATE:20250712 DTSTAMP:20260226T024955 CREATED:20260120T054813Z LAST-MODIFIED:20260120T054813Z UID:10000078-1752019200-1752278399@pytorch.org SUMMARY:We are Developers Conference DESCRIPTION: URL:https://pytorch.org/event/we-are-developers-conference/ LOCATION:Berlin\, Germany\, Berlin\, Germany CATEGORIES:Community-hosted END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250705 DTEND;VALUE=DATE:20250707 DTSTAMP:20260226T024955 CREATED:20260120T054904Z LAST-MODIFIED:20260120T054904Z UID:10000079-1751673600-1751846399@pytorch.org SUMMARY:AMD AI Sprint: Hackathon & Workshop Series DESCRIPTION: URL:https://pytorch.org/event/amd-ai-sprint-hackathon-workshop-series/ LOCATION:Paris\, France\, Paris\, France CATEGORIES:Community-hosted END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250625 DTEND;VALUE=DATE:20250626 DTSTAMP:20260226T024955 CREATED:20260120T055040Z LAST-MODIFIED:20260120T055040Z UID:10000080-1750809600-1750895999@pytorch.org SUMMARY:@Scale: AI & DATA DESCRIPTION: URL:https://pytorch.org/event/scale-ai-data/ LOCATION:Santa Clara\, United States\, Santa Clara\, CA\, United States CATEGORIES:Community-hosted END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250620 DTEND;VALUE=DATE:20250621 DTSTAMP:20260226T024955 CREATED:20260120T055130Z LAST-MODIFIED:20260120T055130Z UID:10000081-1750377600-1750463999@pytorch.org SUMMARY:PyTorch London Meetup DESCRIPTION: URL:https://pytorch.org/event/pytorch-london-meetup/ LOCATION:London\, UK\, London\, United Kingdom CATEGORIES:Community-hosted END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250612T120000 DTEND;TZID=America/Los_Angeles:20250612T130000 DTSTAMP:20260226T024955 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/ LOCATION:CA CATEGORIES:PyTorch-hosted END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250612 DTEND;VALUE=DATE:20250613 DTSTAMP:20260226T024955 CREATED:20260120T055235Z LAST-MODIFIED:20260120T055235Z UID:10000082-1749686400-1749772799@pytorch.org SUMMARY:AMD Advancing AI 2025 DESCRIPTION: URL:https://pytorch.org/event/amd-advancing-ai-2025/ LOCATION:CA CATEGORIES:Community-hosted END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250611 DTEND;VALUE=DATE:20250616 DTSTAMP:20260226T024955 CREATED:20260120T055326Z LAST-MODIFIED:20260120T055326Z UID:10000083-1749600000-1750031999@pytorch.org SUMMARY:CVPR 2025 DESCRIPTION: URL:https://pytorch.org/event/cvpr-2025/ LOCATION:Nashville\, United States\, Nashville\, TN\, United States CATEGORIES:Community-hosted END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250610 DTEND;VALUE=DATE:20250613 DTSTAMP:20260226T024955 CREATED:20260120T055410Z LAST-MODIFIED:20260120T055410Z UID:10000084-1749513600-1749772799@pytorch.org SUMMARY:NVIDIA GTC Paris DESCRIPTION: URL:https://pytorch.org/event/nvidia-gtc-paris/ LOCATION:Paris\, France\, Paris\, France CATEGORIES:Community-hosted END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250609 DTEND;VALUE=DATE:20250613 DTSTAMP:20260226T024955 CREATED:20260120T055446Z LAST-MODIFIED:20260120T055446Z UID:10000085-1749427200-1749772799@pytorch.org SUMMARY:Databricks Data + AI Summit DESCRIPTION: URL:https://pytorch.org/event/databricks-data-ai-summit/ LOCATION:San Francisco\, CA\, San Francisco\, CA\, United States CATEGORIES:Community-hosted END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250607 DTEND;VALUE=DATE:20250608 DTSTAMP:20260226T024955 CREATED:20250503T160940Z LAST-MODIFIED:20250503T160940Z UID:10000036-1749254400-1749340799@pytorch.org SUMMARY:PyTorch Day China 2025 DESCRIPTION: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. \nImmerse 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. \nRead more about the event URL:https://pytorch.org/event/pytorch-day-china-2025/ LOCATION:CA END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250603 DTEND;VALUE=DATE:20250619 DTSTAMP:20260226T024955 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:20260226T024955 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:20260226T024955 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:20260226T024955 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:20260226T024955 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 END:VCALENDAR