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PyTorch Grows as the Dominant Open Source Framework for AI / ML 🔥 Read our #PyTorch 2024 Year in Review blog:

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PyTorch

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19,201 次观看 • 1 年前 •via X (Twitter)

科学技术教育新闻政治#PyTorch
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Ray | AI marketer - Social Media Assistant 的头像
Ray | AI marketer - Social Media Assistant1 年前

PyTorch's growth is great, but many struggle with implementation. Focus on practical use cases to maximize its potential.

SecBriefs | Making Cybersecurity Simple 的头像
SecBriefs | Making Cybersecurity Simple1 年前

🐍 Python is vital for cybersecurity, loved by pros for its ability to automate tasks and analyze threats efficiently! 📚 Ensure you grasp every term with the Cybersecurity Dictionary for Everyone. Master your craft! 🛡️ Available on Amazon:

Data & Analytics 的头像
Data & Analytics1 年前

@PyTorch, yo, PyTorch really leveling up in the AI game! That year in review must be packed with wild stats. What caught your eye the most?

相关视频

IBM’s Christian Jacobi (IBM Fellow and CTO, IBM Systems Development) on why the PyTorch community matters for AI today, the role of open source, and what he’s hearing from clients deploying AI in core IT and business processes. 🎥
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IBM’s Christian Jacobi (IBM Fellow and CTO, IBM Systems Development) on why the PyTorch community matters for AI today, the role of open source, and what he’s hearing from clients deploying AI in core IT and business processes. 🎥

PyTorch

14,165 次观看 • 5 个月前

Missed today’s live Q&A on PyTorch 2.6? The full recording is now available on our LinkedIn & YouTube. PyTorch Core Maintainer Nikita Shulga (Meta) answered key questions about the latest release, sharing his insights on CUDA, torch.compile, security improvements and more. 📺 Watch the full session here: In this clip, Nikita breaks down a crucial topic: 👉 What are the challenges of benchmarking to avoid performance regressions in PyTorch releases? #pytorch #machinelearning #opensource #ai
1:08

Missed today’s live Q&A on PyTorch 2.6? The full recording is now available on our LinkedIn & YouTube. PyTorch Core Maintainer Nikita Shulga (Meta) answered key questions about the latest release, sharing his insights on CUDA, torch.compile, security improvements and more. 📺 Watch the full session here: In this clip, Nikita breaks down a crucial topic: 👉 What are the challenges of benchmarking to avoid performance regressions in PyTorch releases? #pytorch #machinelearning #opensource #ai

PyTorch

11,052 次观看 • 1 年前

TOMORROW 🎉 Join us for the virtual premiere of the PyTorch Documentary! We'll be live on YouTube at 10am PT on June 25 along with some of our key PyTorch collaborators from AMD, AWS, Google, Meta and Microsoft 💜 🔗
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TOMORROW 🎉 Join us for the virtual premiere of the PyTorch Documentary! We'll be live on YouTube at 10am PT on June 25 along with some of our key PyTorch collaborators from AMD, AWS, Google, Meta and Microsoft 💜 🔗

PyTorch

48,761 次观看 • 2 年前

Our next PyTorch Compiler Series video is live with Michael Lazos and Avik Chaudhuri discussing the key concepts behind CUTLASS and how to utilize torch.compile to customize primitives for a specific workload via autotuning & epilogue fusion 📺 Watch on YouTube:
1:08

Our next PyTorch Compiler Series video is live with Michael Lazos and Avik Chaudhuri discussing the key concepts behind CUTLASS and how to utilize torch.compile to customize primitives for a specific workload via autotuning & epilogue fusion 📺 Watch on YouTube:

PyTorch

12,886 次观看 • 11 个月前

LiteRT is here. The universal framework for on-device AI. 📱💻 ✨ 1.4x faster GPU performance ✨ Unified NPU acceleration ✨ Seamless PyTorch and JAX support ✨ Ready for Gemma and gen AI Build faster, simpler, and everywhere. Read the blog:
0:49

LiteRT is here. The universal framework for on-device AI. 📱💻 ✨ 1.4x faster GPU performance ✨ Unified NPU acceleration ✨ Seamless PyTorch and JAX support ✨ Ready for Gemma and gen AI Build faster, simpler, and everywhere. Read the blog:

Google for Developers

194,076 次观看 • 4 个月前

FlexAttention is a novel compiler-driven programming model that allows implementing the majority of attention variants in a few lines of idiomatic PyTorch code Boyuan Feng & Avik Chaudhuri show how many existing attention variants can be implemented via FlexAttention & that we achieve competitive performance compared to handwritten kernels. 📺 Watch the full video on YouTube:
0:57

FlexAttention is a novel compiler-driven programming model that allows implementing the majority of attention variants in a few lines of idiomatic PyTorch code Boyuan Feng & Avik Chaudhuri show how many existing attention variants can be implemented via FlexAttention & that we achieve competitive performance compared to handwritten kernels. 📺 Watch the full video on YouTube:

PyTorch

17,929 次观看 • 1 年前

timelapse {#31} - wrote some more functionalities in pytorch - worked on some model evaluation stuff with pytorch
0:27

timelapse {#31} - wrote some more functionalities in pytorch - worked on some model evaluation stuff with pytorch

sharpeye

11,912 次观看 • 5 个月前

Today PyTorch releases 2.9.1 GA which comes with fixes to cuDNN attention numerical issues. End users of cuDNN in PyTorch have been running into NaN & convergence issues with cuDNN as such cuDNN was disabled by default in PyTorch until 2.9.0. But unfortunately in 2.9.0, end users also reported running into numerical issues thus causing NVIDIA to release cuDNN frontend 1.12 patch and cherrypicking this commit into the 2.9.1 PyTorch release.
0:41

Today PyTorch releases 2.9.1 GA which comes with fixes to cuDNN attention numerical issues. End users of cuDNN in PyTorch have been running into NaN & convergence issues with cuDNN as such cuDNN was disabled by default in PyTorch until 2.9.0. But unfortunately in 2.9.0, end users also reported running into numerical issues thus causing NVIDIA to release cuDNN frontend 1.12 patch and cherrypicking this commit into the 2.9.1 PyTorch release.

SemiAnalysis

24,842 次观看 • 7 个月前

Gm from San Francisco! We are sharing our AI Research at PyTorch Conference including our Winds of Yawanawa project :)
0:20

Gm from San Francisco! We are sharing our AI Research at PyTorch Conference including our Winds of Yawanawa project :)

Refik Anadol

53,804 次观看 • 2 年前

Open source went from mimicking closed tech to driving innovation. By the 2010s, it led with OpenFlow, Docker, Kubernetes, and PyTorch — not copying, but creating. 💡 Today, open source is where innovation begins.
0:28

Open source went from mimicking closed tech to driving innovation. By the 2010s, it led with OpenFlow, Docker, Kubernetes, and PyTorch — not copying, but creating. 💡 Today, open source is where innovation begins.

The Linux Foundation

44,089 次观看 • 1 年前

Excited to share Unit 10, the finale of my latest course! 🎉 My aim is to provide a modern take on learning deep learning & AI using open-source libraries. And I hope you enjoyed the journey from backpropagation to implementing LLMs in PyTorch!
0:34

Excited to share Unit 10, the finale of my latest course! 🎉 My aim is to provide a modern take on learning deep learning & AI using open-source libraries. And I hope you enjoyed the journey from backpropagation to implementing LLMs in PyTorch!

Sebastian Raschka

69,415 次观看 • 3 年前

With the help of our community, we are excited to announce PyTorch Lightning 2.0🎉🎉 Install now 👉 Highlights Include: ⚡️ Commitment to backward compatibility in the 2.0 series ⚡️Simplified abstraction layers, removed legacy functionality, integrations out of the main repo. This improves the project's readability and debugging experience. ⚡️Introducing Fabric! Scale any PyTorch model with just a few lines of code. #PyTorch #PyTorchLightning
0:33

With the help of our community, we are excited to announce PyTorch Lightning 2.0🎉🎉 Install now 👉 Highlights Include: ⚡️ Commitment to backward compatibility in the 2.0 series ⚡️Simplified abstraction layers, removed legacy functionality, integrations out of the main repo. This improves the project's readability and debugging experience. ⚡️Introducing Fabric! Scale any PyTorch model with just a few lines of code. #PyTorch #PyTorchLightning

Lightning AI ⚡️

76,941 次观看 • 3 年前

Meta just open-sources a tool that animates complete 3d characters in pure python. no heavy game engines. no hassle. just pytorch, numpy, and pure ai motion.
1:40

Meta just open-sources a tool that animates complete 3d characters in pure python. no heavy game engines. no hassle. just pytorch, numpy, and pure ai motion.

Oliver Prompts

96,375 次观看 • 2 个月前

Our first open-source release. YOLO26-MLX, native YOLO26 on Apple Silicon. No PyTorch. No external GPU. Up to 2.6x faster inference. Up to 1.7x faster training. Accuracy within 0.2% of official results. It won't be the last.
2:31

Our first open-source release. YOLO26-MLX, native YOLO26 on Apple Silicon. No PyTorch. No external GPU. Up to 2.6x faster inference. Up to 1.7x faster training. Accuracy within 0.2% of official results. It won't be the last.

webAI

96,990 次观看 • 2 个月前

Jensen spent 2 min on InferenceMAX at the GTC keynote 😎 InferenceMAX is completely open source and completely impartial, with the support of AMD, OpenAI, Nvidia, Microsoft, Oracle, Pytorch, SGLang, vLLM, Cursoe, Nebius, Tensorwave, etc
1:44

Jensen spent 2 min on InferenceMAX at the GTC keynote 😎 InferenceMAX is completely open source and completely impartial, with the support of AMD, OpenAI, Nvidia, Microsoft, Oracle, Pytorch, SGLang, vLLM, Cursoe, Nebius, Tensorwave, etc

Dylan Patel

86,497 次观看 • 7 个月前

[ENG SUB] how it feels to use eager pytorch in 2025
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[ENG SUB] how it feels to use eager pytorch in 2025

tender

88,627 次观看 • 7 个月前

One of the Lightning 2.0 highlights is the open source Fabric library ( Fabric let's you scale you PyTorch code with only a few lines of code. Used the pre-release for my research & it's amazing! Here's a quick demo + code:
1:12

One of the Lightning 2.0 highlights is the open source Fabric library ( Fabric let's you scale you PyTorch code with only a few lines of code. Used the pre-release for my research & it's amazing! Here's a quick demo + code:

Sebastian Raschka

74,833 次观看 • 3 年前

Luminal ( is creating PyTorch for Production – an ML compiler that generates blazingly fast CUDA kernels and makes deploying to production one line of code. Congrats on the launch, Jake Stevens, Joe Fioti, and Matthew Gunton!
1:53

Luminal ( is creating PyTorch for Production – an ML compiler that generates blazingly fast CUDA kernels and makes deploying to production one line of code. Congrats on the launch, Jake Stevens, Joe Fioti, and Matthew Gunton!

Y Combinator

98,496 次观看 • 11 个月前