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PyTorch
@PyTorch
Tensors and neural networks in Python with strong hardware acceleration. PyTorch is an open source project at the Linux Foundation. #PyTorchFoundation
Joined September 2016
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    Today marks 5 years since the public release of PyTorch! We didn't expect to come this far, but here we're🙂- 2K Contributors, 90K Projects, 3.9M lines of "import torch" on GitHub. More importantly, we're still receiving lots of love and having a great ride. Here's to the future!
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    We’re excited to announce support for GPU-accelerated PyTorch training on Mac! Now you can take advantage of Apple silicon GPUs to perform ML workflows like prototyping and fine-tuning. Learn more: pytorch.org/blog/introduci…
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    To help developers get started with PyTorch, we’re making the 'Deep Learning with PyTorch' book, written by Luca Antiga and Eli Stevens, available for free to the community: pytorch.org/deep-learning-…
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    The full version of the Deep Learning with PyTorch book from Luca Antiga, Eli Stevens, and Thomas Viehmann is now available! New chapters include in-depth real-world examples and production deployment. Grab a free digital copy on: pytorch.org/deep-learning-…
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    We’re excited to announce the release of PyTorch 2.0! This version includes: ⚙️ 100% backward compatible 📦 Out of the box performance 📶 Significant speed improvements Learn more 👇 hubs.la/Q01H4L1t0
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    Inside the Matrix: Use 3D to visualize matrix multiplication expressions, attention heads with real weights, and more. ⚡ Read our latest post on visualizing matrix multiplication, attention and beyond: hubs.ly/Q0230BWD0
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    We just introduced PyTorch 2.0 at the #PyTorchConference, introducing torch.compile! Available in the nightlies today, stable release Early March 2023. Read the full post: bit.ly/3VNysOA 🧵below! 1/5
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    Want to make your inference code in PyTorch run faster? Here’s a quick thread on doing exactly that. 1. Replace torch.no_grad() with the ✨torch.inference_mode()✨ context manager.
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    10x performance on LLaMa 7B, all in native PyTorch. No C++ needed. Check out our second blog post in a series on Accelerating Generative AI using Native PyTorch. 🔥 hubs.la/Q02bx5Bn0
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    PyTorch is now installed by default on Google Colaboratory. Go ahead and `import torch`, `import torchvision`, `import torchtext`
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    We're excited to release the torch.fft module in PyTorch 1.8. This module implements the same functions as NumPy’s np.fft module, but with support for accelerators, like GPUs, and autograd. Learn more 👉 pytorch.org/blog/the-torch…
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    Microsoft VSCode integrates deeply with PyTorch out of the box. As @aerinykim highlights: 1. It shows values inside tensors. (Left panel) 2. By simply mousing over, you can see the variable's shape, weight, bias, dtype, device, etc. code.visualstudio.com
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    Announcing the alpha release of torchtune! torchtune is a PyTorch-native library for fine-tuning LLMs. It combines hackable memory-efficient fine-tuning recipes with integrations into your favorite tools. Get started fine-tuning today! Details: hubs.la/Q02t214F0
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    PyTorch 2.9 is now available, introducing key updates to performance, portability, and the developer experience. This release includes a stable libtorch ABI for C++/CUDA extensions, symmetric memory for multi-GPU kernels, expanded wheel support to include ROCm, XPU, and CUDA 13,
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