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Title: GitHub - joe0731/pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration · GitHub

Open Graph Title: GitHub - joe0731/pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration

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Description: Tensors and Dynamic neural networks in Python with strong GPU acceleration - joe0731/pytorch

Open Graph Description: Tensors and Dynamic neural networks in Python with strong GPU acceleration - joe0731/pytorch

X Description: Tensors and Dynamic neural networks in Python with strong GPU acceleration - joe0731/pytorch

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hud.pytorch.orghttps://hud.pytorch.org/ci/pytorch/pytorch/main
More About PyTorchhttps://github.com/joe0731/pytorch#more-about-pytorch
A GPU-Ready Tensor Libraryhttps://github.com/joe0731/pytorch#a-gpu-ready-tensor-library
Dynamic Neural Networks: Tape-Based Autogradhttps://github.com/joe0731/pytorch#dynamic-neural-networks-tape-based-autograd
Python Firsthttps://github.com/joe0731/pytorch#python-first
Imperative Experienceshttps://github.com/joe0731/pytorch#imperative-experiences
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Binarieshttps://github.com/joe0731/pytorch#binaries
NVIDIA Jetson Platformshttps://github.com/joe0731/pytorch#nvidia-jetson-platforms
From Sourcehttps://github.com/joe0731/pytorch#from-source
Prerequisiteshttps://github.com/joe0731/pytorch#prerequisites
NVIDIA CUDA Supporthttps://github.com/joe0731/pytorch#nvidia-cuda-support
AMD ROCm Supporthttps://github.com/joe0731/pytorch#amd-rocm-support
Intel GPU Supporthttps://github.com/joe0731/pytorch#intel-gpu-support
Get the PyTorch Sourcehttps://github.com/joe0731/pytorch#get-the-pytorch-source
Install Dependencieshttps://github.com/joe0731/pytorch#install-dependencies
Install PyTorchhttps://github.com/joe0731/pytorch#install-pytorch
Adjust Build Options (Optional)https://github.com/joe0731/pytorch#adjust-build-options-optional
Docker Imagehttps://github.com/joe0731/pytorch#docker-image
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Building the image yourselfhttps://github.com/joe0731/pytorch#building-the-image-yourself
Building the Documentationhttps://github.com/joe0731/pytorch#building-the-documentation
Building a PDFhttps://github.com/joe0731/pytorch#building-a-pdf
Previous Versionshttps://github.com/joe0731/pytorch#previous-versions
Getting Startedhttps://github.com/joe0731/pytorch#getting-started
Resourceshttps://github.com/joe0731/pytorch#resources
Communicationhttps://github.com/joe0731/pytorch#communication
Releases and Contributinghttps://github.com/joe0731/pytorch#releases-and-contributing
The Teamhttps://github.com/joe0731/pytorch#the-team
Licensehttps://github.com/joe0731/pytorch#license
https://github.com/joe0731/pytorch#more-about-pytorch
Learn the basics of PyTorchhttps://pytorch.org/tutorials/beginner/basics/intro.html
torchhttps://pytorch.org/docs/stable/torch.html
torch.autogradhttps://pytorch.org/docs/stable/autograd.html
torch.jithttps://pytorch.org/docs/stable/jit.html
torch.nnhttps://pytorch.org/docs/stable/nn.html
torch.multiprocessinghttps://pytorch.org/docs/stable/multiprocessing.html
torch.utilshttps://pytorch.org/docs/stable/data.html
https://github.com/joe0731/pytorch#a-gpu-ready-tensor-library
https://github.com/pytorch/pytorch/blob/9708fcf92db88b80b9010c68662d634434da3106/docs/source/_static/img/tensor_illustration.png
https://github.com/joe0731/pytorch#dynamic-neural-networks-tape-based-autograd
torch-autogradhttps://github.com/twitter/torch-autograd
autogradhttps://github.com/HIPS/autograd
Chainerhttps://chainer.org
https://github.com/pytorch/pytorch/blob/9708fcf92db88b80b9010c68662d634434da3106/docs/source/_static/img/dynamic_graph.gif
https://github.com/joe0731/pytorch#python-first
NumPyhttps://www.numpy.org/
SciPyhttps://www.scipy.org/
scikit-learnhttps://scikit-learn.org
Cythonhttps://cython.org/
Numbahttp://numba.pydata.org/
https://github.com/joe0731/pytorch#imperative-experiences
https://github.com/joe0731/pytorch#fast-and-lean
Intel MKLhttps://software.intel.com/mkl
cuDNNhttps://developer.nvidia.com/cudnn
NCCLhttps://developer.nvidia.com/nccl
https://github.com/joe0731/pytorch#extensions-without-pain
or your favorite NumPy-based libraries such as SciPyhttps://pytorch.org/tutorials/advanced/numpy_extensions_tutorial.html
a tutorial herehttps://pytorch.org/tutorials/advanced/cpp_extension.html
an example herehttps://github.com/pytorch/extension-cpp
https://github.com/joe0731/pytorch#installation
https://github.com/joe0731/pytorch#binaries
https://pytorch.org/get-started/locally/https://pytorch.org/get-started/locally/
https://github.com/joe0731/pytorch#nvidia-jetson-platforms
herehttps://forums.developer.nvidia.com/t/pytorch-for-jetson-version-1-10-now-available/72048
herehttps://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-pytorch
@dusty-nvhttps://github.com/dusty-nv
@ptrblckhttps://github.com/ptrblck
https://github.com/joe0731/pytorch#from-source
https://github.com/joe0731/pytorch#prerequisites
https://visualstudio.microsoft.com/visual-cpp-build-tools/https://visualstudio.microsoft.com/visual-cpp-build-tools/
https://github.com/joe0731/pytorch#nvidia-cuda-support
select a supported version of CUDA from our support matrixhttps://pytorch.org/get-started/locally/
NVIDIA CUDAhttps://developer.nvidia.com/cuda-downloads
NVIDIA cuDNNhttps://developer.nvidia.com/cudnn
Compilerhttps://gist.github.com/ax3l/9489132
cuDNN Support Matrixhttps://docs.nvidia.com/deeplearning/cudnn/backend/latest/reference/support-matrix.html
available herehttps://devtalk.nvidia.com/default/topic/1049071/jetson-nano/pytorch-for-jetson-nano/
https://github.com/joe0731/pytorch#amd-rocm-support
AMD ROCmhttps://rocm.docs.amd.com/en/latest/deploy/linux/quick_start.html
AMD GPU architecturehttps://rocm.docs.amd.com/projects/install-on-linux/en/latest/reference/system-requirements.html#supported-gpus
https://github.com/joe0731/pytorch#intel-gpu-support
PyTorch Prerequisites for Intel GPUshttps://www.intel.com/content/www/us/en/developer/articles/tool/pytorch-prerequisites-for-intel-gpus.html
https://github.com/joe0731/pytorch#get-the-pytorch-source
https://github.com/joe0731/pytorch#install-dependencies
https://github.com/joe0731/pytorch#install-pytorch
Building on legacy code and CUDAhttps://github.com/pytorch/pytorch/blob/main/CONTRIBUTING.md#building-on-legacy-code-and-cuda
herehttps://github.com/pytorch/pytorch/blob/main/docs/source/notes/windows.rst#building-from-source
NVTXhttps://docs.nvidia.com/gameworks/content/gameworkslibrary/nvtx/nvidia_tools_extension_library_nvtx.htm
Magmahttps://developer.nvidia.com/magma
oneDNN, a.k.a. MKLDNN or DNNLhttps://github.com/oneapi-src/oneDNN
Sccachehttps://github.com/mozilla/sccache
installation-helperhttps://github.com/pytorch/pytorch/tree/main/.ci/pytorch/win-test-helpers/installation-helpers
build_pytorch.bathttps://github.com/pytorch/pytorch/blob/main/.ci/pytorch/win-test-helpers/build_pytorch.bat
the common prerequisiteshttps://github.com/joe0731/pytorch#prerequisites
the prerequisites for Intel GPUhttps://github.com/joe0731/pytorch#intel-gpu-support
https://github.com/joe0731/pytorch#adjust-build-options-optional
https://github.com/joe0731/pytorch#docker-image
https://github.com/joe0731/pytorch#using-pre-built-images
https://github.com/joe0731/pytorch#building-the-image-yourself
setup.pyhttps://github.com/joe0731/pytorch/blob/main/setup.py
https://github.com/joe0731/pytorch#building-the-documentation
Sphinxhttp://www.sphinx-doc.org
Getting Startedhttps://pytorch.org/get-started/locally/
from sourcehttps://github.com/joe0731/pytorch#from-source
Docstring Guidelineshttps://github.com/pytorch/pytorch/wiki/Docstring-Guidelines
https://github.com/joe0731/pytorch#building-a-pdf
https://github.com/joe0731/pytorch#previous-versions
our websitehttps://pytorch.org/get-started/previous-versions
https://github.com/joe0731/pytorch#getting-started
Tutorials: get you started with understanding and using PyTorchhttps://pytorch.org/tutorials/
Examples: easy to understand PyTorch code across all domainshttps://github.com/pytorch/examples
The API Referencehttps://pytorch.org/docs/
Glossaryhttps://github.com/pytorch/pytorch/blob/main/GLOSSARY.md
https://github.com/joe0731/pytorch#resources
PyTorch.orghttps://pytorch.org/
PyTorch Tutorialshttps://pytorch.org/tutorials/
PyTorch Exampleshttps://github.com/pytorch/examples
PyTorch Modelshttps://pytorch.org/hub/
Intro to Deep Learning with PyTorch from Udacityhttps://www.udacity.com/course/deep-learning-pytorch--ud188
Intro to Machine Learning with PyTorch from Udacityhttps://www.udacity.com/course/intro-to-machine-learning-nanodegree--nd229
Deep Neural Networks with PyTorch from Courserahttps://www.coursera.org/learn/deep-neural-networks-with-pytorch
PyTorch Twitterhttps://twitter.com/PyTorch
PyTorch Bloghttps://pytorch.org/blog/
PyTorch YouTubehttps://www.youtube.com/channel/UCWXI5YeOsh03QvJ59PMaXFw
https://github.com/joe0731/pytorch#communication
https://discuss.pytorch.orghttps://discuss.pytorch.org
PyTorch Slackhttps://pytorch.slack.com/
PyTorch Forumshttps://discuss.pytorch.org
https://goo.gl/forms/PP1AGvNHpSaJP8to1https://goo.gl/forms/PP1AGvNHpSaJP8to1
https://eepurl.com/cbG0rvhttps://eepurl.com/cbG0rv
https://www.facebook.com/pytorchhttps://www.facebook.com/pytorch
pytorch.orghttps://pytorch.org/
https://github.com/joe0731/pytorch#releases-and-contributing
filing an issuehttps://github.com/pytorch/pytorch/issues
Contribution pagehttps://github.com/joe0731/pytorch/blob/main/CONTRIBUTING.md
Release pagehttps://github.com/joe0731/pytorch/blob/main/RELEASE.md
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Soumith Chintalahttp://soumith.ch
Gregory Chananhttps://github.com/gchanan
Dmytro Dzhulgakovhttps://github.com/dzhulgakov
Edward Yanghttps://github.com/ezyang
Alban Desmaisonhttps://github.com/albanD
Piotr Bialeckihttps://github.com/ptrblck
Nikita Shulgahttps://github.com/malfet
Trevor Killeenhttps://github.com/killeent
Sasank Chilamkurthyhttps://github.com/chsasank
Sergey Zagoruykohttps://github.com/szagoruyko
Adam Lererhttps://github.com/adamlerer
Francisco Massahttps://github.com/fmassa
Alykhan Tejanihttps://github.com/alykhantejani
Luca Antigahttps://github.com/lantiga
Alban Desmaisonhttps://github.com/albanD
Andreas Koepfhttps://github.com/andreaskoepf
James Bradburyhttps://github.com/jekbradbury
Zeming Linhttps://github.com/ebetica
Yuandong Tianhttps://github.com/yuandong-tian
Guillaume Lamplehttps://github.com/glample
Marat Dukhanhttps://github.com/Maratyszcza
Natalia Gimelsheinhttps://github.com/ngimel
Christian Sarofeenhttps://github.com/csarofeen
Martin Raisonhttps://github.com/martinraison
Edward Yanghttps://github.com/ezyang
Zachary Devitohttps://github.com/zdevito
hughperkins/pytorchhttps://github.com/hughperkins/pytorch
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