PyTorch

PyTorch

A deep learning framework and an open source machine learning library for Python that provides Tensor computation with strong GPU acceleration and deep neural networks built on Autograd system

PyTorch is deep learning framework and an open source machine learning library for Python. It provides Tensor computation with strong GPU acceleration and deep neural networks built on Autograd system. PyTorch is used for applications such as natural language processing.

PyTorch is composed of the following, Tensor library like NumPy with strong Graphics processing unit (GPU) support , a tape based automatic differentiation library that supports all differentiable Tensor operations in Torch, a neural networks library deeply integrated with Autograd which is designed for maximum flexibility , an optimization package to be used with neural networks with standard optimization methods such as SGD, RMSProp, LBFGS, Adam and other methods, Python multiprocessing with memory sharing of Torch Tensors across processes for data loading and Hogwild training, DataLoader and other utility functions and a legacy code ported from Torch for backward compatibility.

Timeline

People

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Further reading

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Author
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Automatic differentiation in PyTorch

Adam Paszke, Sam Gross, Soumith Chintala, Soumith Chintala, Edward Yang, Zachary DeVito, Zeming Lin, Zachary DeVito, Luca Antiga and Adam Lerer

Academic paper

Deep Learning with PyTorch

Eli Stevens, Luca Antiga

Web

Documentaries, videos and podcasts

Title
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PyTorch in 5 Minutes

30 April 2017

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News

Title
Author
Date
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Description
Frederic Lardinois
April 21, 2020
TechCrunch
AWS and Facebook today announced two new open-source projects around PyTorch, the popular open-source machine learning framework. The first of these is TorchServe, a model-serving framework for PyTorch that will make it easier for developers to put their models into production. The other is TorchElastic, a library that makes it easier for developers to build [...]
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