PyTorch Examples — PyTorchExamples 1.11 documentation (original) (raw)

This pages lists various PyTorch examples that you can use to learn and experiment with PyTorch.

HOGWILD! is a scheme that allows Stochastic Gradient Descent (SGD) parallelization without memory locking. This example demonstrates how to perform HOGWILD! training of shared ConvNets on MNIST.

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This beginner example demonstrates how to use LSTMCell to learn sine wave signals to predict the signal values in the future.

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The PyTorch C++ frontend is a C++14 library for CPU and GPU tensor computation. This set of examples includes a linear regression, autograd, image recognition (MNIST), and other useful examples using PyTorch C++ frontend.

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