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• https://en.wikipedia.org/wiki/PyTorch — found via Wikipedia

  PyTorch

  PyTorch is a machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, originally

  PyTorch Lightning PyTorch Lightning is an open-source Python library that provides a high-level interface for PyTorch, a popular deep learning framework. It is a lightweight
  Comparison of deep learning software tree backend for pytorch - artyom-beilis/pytorch_dlprim". Jan 21, 2022 – via GitHub. "OpenCL Support · Issue #488 · pytorch/pytorch". GitHub. "Restricted
  Open Neural Network Exchange match · pytorch/pytorch@6d8d5ba". GitHub. Retrieved 2021-10-12. "A model exporter for PyTorch by ezyang · Pull Request #2565 · pytorch/pytorch". GitHub
  Horovod (machine learning) framework for distributed deep learning training using TensorFlow, Keras, PyTorch, and Apache MXNet. Horovod is hosted under the Linux Foundation AI (LF

• http://pytorch.org — found via Mwmbl

  PyTorch

  Membership Available Key Features & Capabilities Production Ready Transition seamlessly between eager and graph modes with TorchScript, and accelerate th…

  PyTorch Edge | PyTorch PyTorch Edge PyTorch Edge The AI landscape is quickly evolving, with AI models being deployed beyond server to edge devices such as mobile phones, wearab…
  PyTorch Hub | PyTorch To analyze traffic and optimize your experience, we serve cookies on this site. By clicking or navigating, you agree to allow our usage of cookies. As th…
  PyTorch Website
  Pytorch Audio
  PyTorch documentation — PyTorch 2.0 documentation PyTorch is an optimized tensor library for deep learning using GPUs and CPUs. Features described in this documentation are classified by release status: …
  Pytorch Vision
  PyTorch C++ API — PyTorch main documentation These pages provide the documentation for the public portions of the PyTorch C++ API. This API can roughly be divided into five parts: ATen: The foundati…
  Oops! | PyTorch To analyze traffic and optimize your experience, we serve cookies on this site. By clicking or navigating, you agree to allow our usage of cookies. As th…
  PyTorch documentation — PyTorch 2.3 documentation PyTorch is an optimized tensor library for deep learning using GPUs and CPUs. Features described in this documentation are classified by release status: …
  PyTorch documentation — PyTorch master documentation
  Blog | PyTorch Over the past year, Mixture of Experts (MoE) models have surged in popularity, fueled by powerful open-source models like DBRX, Mixtral, DeepSeek, and ma…
  Join The PyTorch Foundation | PyTorch By joining the PyTorch Foundation, you can help build and shape the future of end-to-end machine learning frameworks alongside your industry peers. PyTor…
  PyTorch/XLA documentation — PyTorch/XLA master documentation This code should look familiar. PyTorch/XLA uses the same interface as regular PyTorch with a few additions. Importing torch_xla initializes PyTorch/XLA,…
  Events | PyTorch Upcoming Events PyTorch Conference 2024 Join us in San Francisco on September 18th-19th, and learn about PyTorch, the cutting-edge renowned open-source m…
  Videos | PyTorch To analyze traffic and optimize your experience, we serve cookies on this site. By clicking or navigating, you agree to allow our usage of cookies. As th…
  PyTorch 2.1: automatic dynamic shape compilation, distributed ch… We are excited to announce the release of PyTorch® 2.1 (release note)! PyTorch 2.1 offers automatic dynamic shape support in torch.compile, torch.distrib…
  PyTorch 2.4 Release Blog | PyTorch We are excited to announce the release of PyTorch® 2.4 (release note)! PyTorch 2.4 adds support for the latest version of Python (3.12) for torch.compile…
  Blog | 3 of 26 | PyTorch The PyTorch team is excited to share that our paper on PyTorch 2 has been accepted for presentation at the ACM International Conference on Architectural …
  iOS | PyTorch PyTorch Mobile iOS To get started with PyTorch on iOS, we recommend exploring the following HelloWorld. Quickstart with a Hello World Example HelloWorld …
  PyTorch, a year in.... | PyTorch Today marks 1 year since PyTorch was released publicly. It’s been a wild ride — our quest to build a flexible deep learning research platform. Over the l…
  TorchServe — PyTorch/Serve master documentation To analyze traffic and optimize your experience, we serve cookies on this site. By clicking or navigating, you agree to allow our usage of cookies. As th…
  Home | PyTorch PyTorch Mobile PyTorch Mobile There is a growing need to execute ML models on edge devices to reduce latency, preserve privacy, and enable new interactiv…
  Blog | 2 of 26 | PyTorch The PyTorch Docathon is now live! This event is dedicated to enhancing the quality of the PyTorch documentation with the invaluable assistance of our com…
  Blog | 8 of 26 | PyTorch In this blog, we share how we enabled the collection and analysis of PyTorch Profiler traces for training workloads without any user side code instrument…
  Blog | 14 of 26 | PyTorch Introducing PyTorch 2.0, our first steps toward the next generation 2-series release of PyTorch. Over the last few years we have innovated and iterated f…
  TORCH ORT — ONNX Runtime for PyTorch latest documentation To analyze traffic and optimize your experience, we serve cookies on this site. By clicking or navigating, you agree to allow our usage of cookies. As the…
  Blog | 6 of 26 | PyTorch In a landscape where AI innovation is accelerating at an unprecedented pace, Meta’s Llama family of open sourced large language models (LLMs) stands out …
  Blog | 7 of 26 | PyTorch Audio-Visual Speech Recognition (AV-ASR, or AVSR) is the task of transcribing text from audio and visual streams, which has recently attracted a lot of r…
  Blog | 9 of 26 | PyTorch AMD has gained progress in building a robust software stack that supports an open ecosystem of models, libraries, frameworks, and tools. With proven plat…
  Blog | 2 of 25 | PyTorch We are excited to announce the release of ExecuTorch alpha, focused on deploying large language models (LLMs) and large ML models to the edge, stabilizin…
  Blog | 5 of 26 | PyTorch This post is the second part of a multi-series blog focused on how to accelerate generative AI models with pure, native PyTorch. We are excited to share …
  Blog | 4 of 26 | PyTorch Multi-model endpoints (MMEs) are a powerful feature of Amazon SageMaker designed to simplify the deployment and operation of machine learning (ML) models…
  Welcome to PyTorch Tutorials — PyTorch Tutorials 2.3.0+cu121 doc… To analyze traffic and optimize your experience, we serve cookies on this site. By clicking or navigating, you agree to allow our usage of cookies. As th…
  Blog | 12 of 26 | PyTorch As we celebrate the release of OpenXLA, PyTorch 2.0, and PyTorch/XLA 2.0, it’s worth taking a step back and sharing where we see it all going in the shor…
  Blog | 10 of 26 | PyTorch Thank you to all who participated in our first ever PyTorch Docathon, the results have been nothing short of amazing! We want to extend our sincerest gra…
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  TorchRL
  Blog | 13 of 26 | PyTorch We are excited to announce the public release of Holistic Trace Analysis (HTA), an open source performance analysis and visualization Python library for …

• http://github.com/pytorch — found via Mwmbl

  pytorch · GitHub

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• https://medium.com/pytorch — found via Mwmbl

  PyTorch - Medium

  PyTorch – Medium

• http://lwn.net/Articles/919721/ — found via Mwmbl

  PyTorch and the PyPI supply chain [LWN.net]

  PyTorch and the PyPI supply chain PyTorch and the PyPI supply chain > To me the solution is pretty simple and nothing that hasn't been implemented elsewh…