#pytorch 검색 결과
🟠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…
🌟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
🟠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…
🎉 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…
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. 🔗…
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
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…
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.
Great demo at @PyTorch Conference today. The @AMD stand showcased #logfire spans in their multi-agent-nutrition system. Always happy to see the community using our #observability tool. #PyTorch #pydantic #MLOps #ai
Day 10/25 — Building My First Neural Network in PyTorch I continued my learning journey on WorldQuant University today. The lesson focused on using PyTorch to build my very first neural network model. #PyTorch #DeepLearning #AI #WQU #MachineLearning
Congratulations to Runhouse, winner of the PyTorch Startup Showcase Award at #PyTorchCon! Presented by Donny Greenberg, this award recognizes a standout AI startup from Tuesday's live showcase, sponsored by Dell Technologies Capital and Mayfield. #PyTorch #StartupShowcase…
🥳🥳New release of Diamond ONNX Runtime for Clojure. 0.21.0 is in the @clojars Run your AI and ML models on CPU or GPU. github.com/uncomplicate/d… #Clojure #PyTorch #Numpy
🎉 New arrival at @shroffpub ! 🎉 AI Systems Performance Engineering by Chris Fregly @cfregly shows you how to optimize GPU‑based training & inference with #CUDA, #PyTorch, and full‑stack performance techniques. Order now shroffpublishers.com/books/97893680… #AIPerformance #AIEngineering
🌟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
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…
🟠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…
Akash Network is thrilled to be a Platinum Sponsor of this year’s #PyTorch Conference, happening October 22–23 in San Francisco! This event is an incredible opportunity to dive deep into hands-on sessions exploring the intricacies of open-source #AI and #ML. Register now!…
We’re excited to welcome @DellTech as a Premier Member of the PyTorch Foundation 🎉 👉 Read the announcement: hubs.la/Q03PyPSY0 #PyTorch #Dell #OpenSource
Latest Intel AI Tools push #PyTorch 2.7 performance with Intel GPU support for torch.compile on Windows and Linux, among other optimizations. #oneAPI #AIHacks Learn more: intel.ly/443FZjs
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