#pytorch search results
๐Massive 774-page book by @rasbt ๐ "#MachineLearning with #PyTorch and Scikit-Learn: Develop #ML and #DeepLearning models with #Pythonโ at amzn.to/4oGqtBP โโโโโ #DataScience #AI #NeuralNetworks #ComputerVision #DataScientist
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. ๐๏ธRead the blog: hubs.la/Q03WHPdp0 #PyTorchโฆ
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. ๐ hubs.la/Q03QFglY0
๐ Congrats to the #PyTorch Contributor Award 2025 winners! ๐ Honoring community members who power innovation, collaboration, and the PyTorch spirit๐ฅ ๐ Zesheng Zong โ Outstanding PyTorch Ambassador ๐ Zingo Andersen โ PyTorch Review Powerhouse ๐ Xuehai Pan โ PyTorch Problemโฆ
๐ PyLO v0.2.0 is out! (Dec 2025) Introducing VeLO_CUDA ๐ฅ - 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-labโฆ #PyTorch #DeepLearning #huggingface
๐ 2nd Edition, 746 pages, massive! โฌ๏ธ Modern #ComputerVision with #PyTorch #DeepLearning โ from practical fundamentals to advanced applications and #GenerativeAI: amzn.to/3xAkB7X v/ @PacktDataML โโ #DataScience #MachineLearning #AI #ML #GenAI #DataScientist โโ ๐๐ฎ๐โฆ
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 15ร faster throughput. ๐โฆ
2nd Edition, 746 pages, massive! โฌ๏ธ Modern #ComputerVision with #PyTorch #DeepLearning โ from practical fundamentals to advanced applications and #GenerativeAI: amzn.to/3xAkB7X v/ @PacktDataML โโ #DataScience #MachineLearning #AI #ML #GenAI #DataScientist โโ ๐๐ฎ๐โฆ
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 theโฆ
Transformers v5's first release candidate is out ๐ฅ 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.
change: 1x1 Conv projection (W_s x).Unit tests passed:Input: [2, 64, 32, 32] โ Output: [2, 128, 16, 16] (Downsampling working!) #PyTorch #DeepLearning #Coding #ResNet
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. ๐๏ธRead the blog: hubs.la/Q03WHPdp0 #PyTorchโฆ
Three critical security flaws have been disclosed in an open-source utility called #Picklescan that could allow malicious actors to execute arbitrary code by loading untrusted #PyTorch models, effectively bypassing the tool's protections.#2025 #Infosec #BT thehackernews.com/2025/12/pickleโฆ
๐ฑpin.it/3Mk7AojNZ via @pinterest ๐ฑ #PyTorch ๐#Python #RStats #TensorFlow #Java #ReactJS ๐#GoLang
If you are interested in running #PyTorch models on the latest @Arm compute using #ExecuTorch, don't miss this!
๐๐ฅ Critical security flaws in Picklescan allow execution of arbitrary code by loading untrusted PyTorch models! #CyberSecurity #PyTorch #Picklescan Source: thehackernews.com/2025/12/pickleโฆ
๐จ Critical bugs in Picklescan allow malicious PyTorch models to bypass security scans & execute arbitrary code. High-risk alert! thehackernews.com/2025/12/pickleโฆ #Picklescan #PyTorch #Vulnerability #CyberSecurity #MaliciousCode
Learn to create a BERT model from scratch using PyTorch! ๐ค๐ฅ #BERT #MachineLearning #PyTorch #DataScience #NLP #DeepLearning #ModelTraining #AI machinelearningmastery.com/pretrain-a-berโฆ
๐Massive 774-page book by @rasbt ๐ "#MachineLearning with #PyTorch and Scikit-Learn: Develop #ML and #DeepLearning models with #Pythonโ at amzn.to/4oGqtBP โโโโโ #DataScience #AI #NeuralNetworks #ComputerVision #DataScientist
๐ 2nd Edition, 746 pages, massive! โฌ๏ธ Modern #ComputerVision with #PyTorch #DeepLearning โ from practical fundamentals to advanced applications and #GenerativeAI: amzn.to/3xAkB7X v/ @PacktDataML โโ #DataScience #MachineLearning #AI #ML #GenAI #DataScientist โโ ๐๐ฎ๐โฆ
2nd Edition, 746 pages, massive! โฌ๏ธ Modern #ComputerVision with #PyTorch #DeepLearning โ from practical fundamentals to advanced applications and #GenerativeAI: amzn.to/3xAkB7X v/ @PacktDataML โโ #DataScience #MachineLearning #AI #ML #GenAI #DataScientist โโ ๐๐ฎ๐โฆ
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. ๐ hubs.la/Q03QFglY0
๐ Congrats to the #PyTorch Contributor Award 2025 winners! ๐ Honoring community members who power innovation, collaboration, and the PyTorch spirit๐ฅ ๐ Zesheng Zong โ Outstanding PyTorch Ambassador ๐ Zingo Andersen โ PyTorch Review Powerhouse ๐ Xuehai Pan โ PyTorch Problemโฆ
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 #StartupShowcaseโฆ
Akash Network is thrilled to be a Platinum Sponsor of this yearโs #PyTorch Conference, happening October 22โ23 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!โฆ
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
Something went wrong.
Something went wrong.
United States Trends
- 1. Giannis 54.1K posts
- 2. Tosin 61.7K posts
- 3. Spotify 1.51M posts
- 4. Leeds 93.5K posts
- 5. Bucks 35K posts
- 6. Maresca 47.9K posts
- 7. Danny Phantom 6,044 posts
- 8. #WhyIChime 1,939 posts
- 9. Milwaukee 16.5K posts
- 10. Wirtz 34K posts
- 11. Mark Andrews 1,402 posts
- 12. Sunderland 44.2K posts
- 13. Delap 16.7K posts
- 14. Isaiah Likely N/A
- 15. Purple 52.6K posts
- 16. Chiesa 11.7K posts
- 17. Poison Ivy 1,598 posts
- 18. Jack Smith 37.3K posts
- 19. Cedric Mullins N/A
- 20. Merino 38.5K posts