Posts with #PyTorch

#PyTorch

Public posts on X that use #PyTorch.

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  1. Weihua Hu@weihua916
    🚀🎉 Excited to announce 🌟 PyTorch Frame 🌟 - our new open-source initiative in PyTorch! Dive into multi-modal tabular deep learning like never before! Link: #PyTorch #OpenSource (1/6)
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  2. PyTorch✓@PyTorch
    On Oct 19 at PyTorch Conference North America 2026 in San Jose, attendees spent a full day in our instructor-led PyTorch Associate Training preparing for the PyTorch Certified Associate (PTCA) exam. Here’s what they had to say: 💬 “From basics to advanced, the instructors did a nice job of explaining.” 💬 “Everything was hands-on... with powerful GPUs.” 💬 “I used to think of PyTorch as training models, but it was so much more: benchmarking and profiling.” 💬 “Made me confident for the exam.” 💬 “Absolutely recommend to friends.” Thank you to our teaching staff from @NVIDIAAI: Allison Ding, Krishna Kalyan, Lakshay Garg, Santosh Bahir, Ian Wang, and Faradawn Yang. Learn more about getting certified: Check out what the attendees had to say here: #PyTorchCon
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  3. Google for Developers✓@googledevs
    A new PyTorch-native backend is coming to unlock the power of Google TPUs: ✨ Run existing PyTorch with minimal code changes. ✨ Get a 50-100%+ performance boost with Fused Eager mode. Read the engineering deep dive here: #TorchTPU #PyTorch #MLOps #AI
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  4. PyTorch✓@PyTorch
    We ❤️ our ambassadors. The ambassador meetup at #PyTorchCon North America was a good time to connect and make plans for the year ahead. PyTorch Foundation Ambassadors help grow our projects (PyTorch, vLLM, DeepSpeed, Ray, Helion, & Safetensors) around the world by organizing events, creating educational content, mentoring new users, and contributing to the open source ecosystem. Meet all of your PyTorch Foundation ambassadors:
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  5. Sugato Ray✓@sugatoray
    Get certified in #PyTorch using the PTCA program. #deeplearning #ai #certification #PTCA
    PyTorch @PyTorch
    Validate your real-world PyTorch skills with the PyTorch Certified Associate (PTCA) program. Designed for early-stage practitioners, PTCA helps you demonstrate foundational ability across model design, training, and deployment while building credibility across the open source AI ecosystem. Learn more and enroll here:
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  6. PyTorch✓@PyTorch
    Validate your real-world PyTorch skills with the PyTorch Certified Associate (PTCA) program. Designed for early-stage practitioners, PTCA helps you demonstrate foundational ability across model design, training, and deployment while building credibility across the open source AI ecosystem. Learn more and enroll here:
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  7. AI at Meta✓@AIatMeta
    We’re releasing NeuralProphet, a scalable and easy-to-use open source framework for hybrid forecasting models. Built in #PyTorch, NeuralProphet produces accurate, interpretable time series forecasts quickly.
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  8. Machine Learning FLX✓@machinelearnflx
    Take a look at Applied Machine Learning & Deep Learning with PyTorch. Build an LSTM sentiment analysis model. #AD #PyTorch
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  9. AI at Meta✓@AIatMeta
    We're releasing MBRL-Lib, a #PyTorch-based toolbox for research on model-based #reinforcementlearning. It provides a simple API to mix & match dynamic models & control algorithms, as well as diagnostics and visualizations. Get it here:
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  10. Hekate✓@iCleanAI
    PyTorch 2.15 is out. The rewritten NCCL backend is now the default, with a flight recorder that dumps state on hangs. Also: faster 4-bit LLM decoding on Nvidia Blackwell, and on Apple Silicon, FP8 plus a MoE decode path that runs 1.32–1.34x faster. #PyTorch #DeepLearning
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  11. Hekate✓@iCleanAI
    @iCleanAI
    Source: PyTorch's release blog: #PyTorch
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  12. Ross Wightman✓@wightmanr
    Added ImageNet validation results for 164 pretrained #PyTorch models on several datasets, incl ImageNet-A, ImageNetV2, and Imagenet-Sketch. No surprise, models with exposure to more data do quite well. Without extra, EfficientNets are holding their own.
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  13. Vanraj Narula | AI Engineer@vanraj_narula
    Out of GPU memory during training? You may not need a smaller model. Gradient checkpointing stores only some forward activations and recomputes the rest during backward. The trade: far less activation memory for about one extra forward pass. #DeepLearning #PyTorch
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  14. AI at Meta✓@AIatMeta
    We’ve open-sourced #PyText, a framework built on #PyTorch to help developers more quickly & easily experiment with and deploy NLP models:
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  15. Winson Tang@winsontang
    Unlock the power of optimization with the 0/1 Knapsack Problem in PyTorch! 🚀 Dive into efficient algorithms and enhance your data science toolkit. Perfect for tackling complex challenges in resource allocation. Let's maximize your potential! #DataScience #PyTorch #Optimization
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  16. Apress@Apress
    Building AI is easy. Deploying it reliably is the real challenge. Learn how to move from prototypes to production with PyTorch, transformers, RAG, evaluation frameworks, and scalable deployment strategies. #AI #MachineLearning #PyTorch #LLMOps 🔗
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  17. Apress@Apress
    Building AI is easy. Deploying it reliably is the real challenge. Learn how to move from prototypes to production with PyTorch, transformers, RAG, evaluation frameworks, and scalable deployment strategies. #AI #MachineLearning #PyTorch #LLMOps 🔗
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  18. Yashpalsinh@Yashpalsinh_0
    Is there a LeetCode-style platform for practicing ML and DL coding in PyTorch? I’m looking for hands-on challenges covering neural networks, optimizers, loss functions, and training loops, with test cases and difficulty levels. Basically, LeetCode for ML/DL engineers! 🚀 #PyTorch
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