#pytorch resultados da pesquisa

LMCache joins the #PyTorch Ecosystem, advancing scalable #LLM inference through integration with @vllm_project. Developed at the University of Chicago, LMCache reuses and shares KV caches across queries and engines, achieving up to 15× faster throughput. 🔗…

PyTorch's tweet image. LMCache joins the #PyTorch Ecosystem, advancing scalable #LLM inference through integration with @vllm_project.

Developed at the University of Chicago, LMCache reuses and shares KV caches across queries and engines, achieving up to 15× faster throughput.

🔗…

🟠2nd Edition, 746 pages, massive! ⬇️ Modern #ComputerVision with #PyTorch #DeepLearning — from practical fundamentals to advanced applications and #GenerativeAI: amzn.to/3xAkB7X v/ @PacktDataML —— #DataScience #MachineLearning #AI #ML #GenAI #DataScientist —— 𝓚𝓮𝔂…

KirkDBorne's tweet image. 🟠2nd Edition, 746 pages, massive!
⬇️
Modern #ComputerVision with #PyTorch #DeepLearning — from practical fundamentals to advanced applications and #GenerativeAI: amzn.to/3xAkB7X v/ @PacktDataML 
——
#DataScience #MachineLearning #AI #ML #GenAI #DataScientist
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𝓚𝓮𝔂…

🌟Massive 774-page book by @rasbt 🌟 "#MachineLearning with #PyTorch and Scikit-Learn: Develop #ML and #DeepLearning models with #Python” at amzn.to/4oGqtBP ————— #DataScience #AI #NeuralNetworks #ComputerVision #DataScientist

KirkDBorne's tweet image. 🌟Massive 774-page book by @rasbt 🌟
"#MachineLearning with #PyTorch and Scikit-Learn: Develop #ML and #DeepLearning models with #Python” at amzn.to/4oGqtBP
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#DataScience #AI #NeuralNetworks #ComputerVision #DataScientist

🎉 Congrats to the #PyTorch Contributor Award 2025 winners! 🎉 Honoring community members who power innovation, collaboration, and the PyTorch spirit🔥 🏅 Zesheng Zong — Outstanding PyTorch Ambassador 🏅 Zingo Andersen — PyTorch Review Powerhouse 🏅 Xuehai Pan — PyTorch Problem…

PyTorch's tweet image. 🎉 Congrats to the #PyTorch Contributor Award 2025 winners! 🎉

Honoring community members who power innovation, collaboration, and the PyTorch spirit🔥

🏅 Zesheng Zong — Outstanding PyTorch Ambassador
🏅 Zingo Andersen — PyTorch Review Powerhouse
🏅 Xuehai Pan — PyTorch Problem…

Our latest PyTorch community blog from the SGLang Team covers how SGLang advances hybrid Mamba plus Attention models with improved memory efficiency, prefix caching, speculative decoding, and serving performance. 🖇️Read the blog: hubs.la/Q03WHPdp0 #PyTorch


🚀 PyLO v0.2.0 is out! (Dec 2025) Introducing VeLO_CUDA 🔥 - a CUDA-accelerated implementation of the VeLO learned optimizer in PyLO. Checkout the fastest available version of this SOTA learned optimizer now in PyTorch. github.com/belilovsky-lab… #PyTorch #DeepLearning #huggingface

janson002's tweet image. 🚀 PyLO v0.2.0 is out! (Dec 2025)
Introducing VeLO_CUDA 🔥 - a CUDA-accelerated implementation of the VeLO learned optimizer in PyLO. Checkout the fastest available version of this SOTA learned optimizer now in PyTorch.
github.com/belilovsky-lab…
#PyTorch #DeepLearning #huggingface

🎉 Congrats to the 2025 #PyTorch Contributor Award winners & nominees! 🏅 Winners: Vincent Moens, Mingfei Ma, Eikan Wang, Irakli Salia, Jiawei Li, Aaron Gokaslan, Justin Silver, Jonathan Dekhtiar, Xuehai Pan, Zingo Andersen, Zesheng Zong. Nominees: Abdulsalam Yazid Bande,…

PyTorch's tweet image. 🎉 Congrats to the 2025 #PyTorch Contributor Award winners & nominees!

🏅 Winners: Vincent Moens, Mingfei Ma, Eikan Wang, Irakli Salia, Jiawei Li, Aaron Gokaslan, Justin Silver, Jonathan Dekhtiar, Xuehai Pan, Zingo Andersen, Zesheng Zong.

Nominees: Abdulsalam Yazid Bande,…

2nd Edition, 746 pages, massive! ⬇️ Modern #ComputerVision with #PyTorch #DeepLearning — from practical fundamentals to advanced applications and #GenerativeAI: amzn.to/3xAkB7X v/ @PacktDataML —— #DataScience #MachineLearning #AI #ML #GenAI #DataScientist —— 𝓚𝓮𝔂…

KirkDBorne's tweet image. 2nd Edition, 746 pages, massive!
⬇️
Modern #ComputerVision with #PyTorch #DeepLearning — from practical fundamentals to advanced applications and #GenerativeAI: amzn.to/3xAkB7X v/ @PacktDataML 
——
#DataScience #MachineLearning #AI #ML #GenAI #DataScientist
——
𝓚𝓮𝔂…

With its v5 release, Transformers is going all in on #PyTorch. Transformers acts as a source of truth and foundation for modeling across the field; we've been working with the team to ensure good performance across the stack. We're excited to continue pushing for this in the…

PyTorch's tweet image. With its v5 release, Transformers is going all in on #PyTorch. Transformers acts as a source of truth and foundation for modeling across the field; we've been working with the team to ensure good performance across the stack. We're excited to continue pushing for this in the…

Transformers v5's first release candidate is out 🔥 The biggest release of my life. It's been five years since the last major (v4). From 20 architectures to 400, 20k daily downloads to 3 million. The release is huge, w/ tokenization (no slow tokenizers!), modeling & processing.

LysandreJik's tweet image. Transformers v5's first release candidate is out 🔥 The biggest release of my life.

It's been five years since the last major (v4). From 20 architectures to 400, 20k daily downloads to 3 million.

The release is huge, w/ tokenization (no slow tokenizers!), modeling & processing.


🟠2nd Edition, 746 pages, massive! ⬇️ Modern #ComputerVision with #PyTorch #DeepLearning — from practical fundamentals to advanced applications and Generative AI: amzn.to/3xAkB7X v/ @PacktDataML —— #DataScience #MachineLearning #ML #GenAI #DataScientist —— 𝓚𝓮𝔂…

KirkDBorne's tweet image. 🟠2nd Edition, 746 pages, massive!
⬇️
Modern #ComputerVision with #PyTorch #DeepLearning — from practical fundamentals to advanced applications and Generative AI: amzn.to/3xAkB7X v/ @PacktDataML
——
#DataScience #MachineLearning #ML #GenAI #DataScientist
——
𝓚𝓮𝔂…

Ready to feed the 11M parameter beast tomorrow! #PyTorch #DataScience #CIFAR10 #ComputerVision


If you're into ML systems or LLM training, let's connect! 🚀 #MachineLearning #PyTorch #LLM


Built a simple feed-forward neural network today and trained it on a dummy dataset. Learned how tensors, model layers, loss functions and the full training loop work together in PyTorch. A solid step toward mastering deep learning. #DeepLearning #PyTorch #AI #ML


Nenhum resultado para "#pytorch"
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