#pytorch 검색 결과
📣 #NVIDIAKaolin v0.15.0 is out! With the latest release of our #Pytorch Library, extract a high quality #3D mesh for your SDF using Flexicube. Have a look at the updated official repository using Kaolin's implementation: ➡️ nvda.ws/48vd7jz 🧵1/2 #NVIDIAResearch
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…
🟠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…
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. 🔗…
🚀 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
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.
🌟We are honored that our own Piotr Bialecki (@ptrblck_de) has been designated a #PyTorch Superhero Contributor, and now a Core Maintainer, where he will continue to help build the long-term vision for PyTorch, champion #OSS, and be a key member of the governing body and…
🚀 New Post: ML Simplified Unlock ML basics: simplified explanations of machine learning algorithms.... 🔗 Read more: kubaik.github.io/ml-simplified #TechInnovation #Claude #PyTorch #DigitalNomad #AIAlgorithms
change: 1x1 Conv projection (W_s x).Unit tests passed:Input: [2, 64, 32, 32] → Output: [2, 128, 16, 16] (Downsampling working!) #PyTorch #DeepLearning #Coding #ResNet
🟠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…
🎉 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…
A new #LFResearch study with @Meta explores how #OpenSourceAI adoption across 11 APEC economies is boosting innovation, productivity, and local capacity. See how open models and tools like #PyTorch are shaping growth across key sectors. 🔗 hubs.la/Q03QFglY0
🌟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
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!…
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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