• 1. PyTorch

  pytorch.org

  Link: https://pytorch.org/

  Description: WEBPyTorch. New Announcements. Catch up on the latest technical insights and tools from the PyTorch community. Read More. 2024 PyTorch Conference. Call for proposals for PyTorch Conference 2024 are live. Save on Early Bird Registration. Full details + guidelines. PyTorch 2.2 offers ~2x performance improvement. Learn More. Membership …

  DA: 43 PA: 72 MOZ Rank: 100

• 2. PyTorch - Wikipedia

  wikipedia.org

  Link: https://en.wikipedia.org/wiki/PyTorch

  Description: WEBPyTorch is a machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, originally developed by Meta AI and now part of the Linux Foundation umbrella.

  DA: 52 PA: 4 MOZ Rank: 26

• 3. Start Locally | PyTorch

  pytorch.org

  Link: https://pytorch.org/get-started/locally/

  Description: WEBPreview (Nightly) Linux. Mac. Windows. Conda. Pip. LibTorch. Source. Python. C++ / Java. CUDA 11.8. CUDA 12.1. ROCm 5.7. CPU. pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118. Installing on Windows. PyTorch can be installed and used on various Windows distributions.

  DA: 94 PA: 20 MOZ Rank: 2

• 4. Welcome to PyTorch Tutorials — PyTorch Tutorials 2.3.0+cu121 …

  pytorch.org

  Link: https://pytorch.org/tutorials/

  Description: WEBLearn the Basics. Familiarize yourself with PyTorch concepts and modules. Learn how to load data, build deep neural networks, train and save your models in this quickstart guide. Get started with PyTorch.

  DA: 9 PA: 3 MOZ Rank: 85

• 5. PyTorch documentation — PyTorch 2.2 documentation

  pytorch.org

  Link: https://pytorch.org/docs/stable/index.html

  Description: WEBPyTorch is an optimized tensor library for deep learning using GPUs and CPUs. Features described in this documentation are classified by release status: Stable: These features will be maintained long-term and there should generally be no major performance limitations or gaps in documentation.

  DA: 23 PA: 61 MOZ Rank: 84

• 6. Learn the Basics — PyTorch Tutorials 2.3.0+cu121 documentation

  pytorch.org

  Link: https://pytorch.org/tutorials/beginner/basics/intro.html

  Description: WEBMost machine learning workflows involve working with data, creating models, optimizing model parameters, and saving the trained models. This tutorial introduces you to a complete ML workflow implemented in PyTorch, with links to …

  DA: 27 PA: 76 MOZ Rank: 51

• 7. GitHub - pytorch/pytorch: Tensors and Dynamic neural networks …

  github.com

  Link: https://github.com/pytorch/pytorch

  Description: WEBPyTorch is a Python package that provides two high-level features: Tensor computation (like NumPy) with strong GPU acceleration. Deep neural networks built on a tape-based autograd system. You can reuse your favorite Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.

  DA: 76 PA: 49 MOZ Rank: 76

• 8. PyTorch 2.0 | PyTorch

  pytorch.org

  Link: https://pytorch.org/get-started/pytorch-2.0/

  Description: WEBWe are able to provide faster performance and support for Dynamic Shapes and Distributed. Below you will find all the information you need to better understand what PyTorch 2.0 is, where it’s going and more importantly how to get started today (e.g., tutorial, requirements, models, common FAQs).

  DA: 65 PA: 31 MOZ Rank: 84

• 9. Features | PyTorch

  pytorch.org

  Link: https://pytorch.org/features/

  Description: WEBPyTorch enables fast, flexible experimentation and efficient production through a user-friendly front-end, distributed training, and ecosystem of tools and libraries. Get Started.

  DA: 55 PA: 36 MOZ Rank: 52

• 10. Learning PyTorch with Examples

  pytorch.org

  Link: https://pytorch.org/tutorials/beginner/pytorch_with_examples.html

  Description: WEBAuthor: Justin Johnson. Note. This is one of our older PyTorch tutorials. You can view our latest beginner content in Learn the Basics. This tutorial introduces the fundamental concepts of PyTorch through self-contained examples. At its core, PyTorch provides two main features: An n-dimensional Tensor, similar to numpy but can run on GPUs.

  DA: 93 PA: 67 MOZ Rank: 39