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A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

PyTorch Examples

https://pytorch.org/examples/

pytorch/examples is a repository showcasing examples of using PyTorch. The goal is to have curated, short, few/no dependencies high quality examples that are substantially different from each other that can be emulated in your existing work.

  • For tutorials: https://github.com/pytorch/tutorials
  • For changes to pytorch.org: https://github.com/pytorch/pytorch.github.io
  • For a general model hub: https://pytorch.org/hub/ or https://huggingface.co/models
  • For recipes on how to run PyTorch in production: https://github.com/facebookresearch/recipes
  • For general Q&A and support: https://discuss.pytorch.org/

Available models

  • Image classification (MNIST) using Convnets
  • Word-level Language Modeling using RNN and Transformer
  • Training Imagenet Classifiers with Popular Networks
  • Generative Adversarial Networks (DCGAN)
  • Variational Auto-Encoders
  • Superresolution using an efficient sub-pixel convolutional neural network
  • Hogwild training of shared ConvNets across multiple processes on MNIST
  • Training a CartPole to balance with actor-critic
  • Natural Language Inference (SNLI) with GloVe vectors, LSTMs, and torchtext
  • Time sequence prediction - use an LSTM to learn Sine waves
  • Implement the Neural Style Transfer algorithm on images
  • Reinforcement Learning with Actor Critic and REINFORCE algorithms on OpenAI gym
  • PyTorch Module Transformations using fx
  • Distributed PyTorch examples with Distributed Data Parallel and RPC
  • Several examples illustrating the C++ Frontend
  • Image Classification Using Forward-Forward
  • Language Translation using Transformers

Additionally, a list of good examples hosted in their own repositories:

  • Neural Machine Translation using sequence-to-sequence RNN with attention (OpenNMT)

Contributing

If you'd like to contribute your own example or fix a bug please make sure to take a look at CONTRIBUTING.md.

核心特点

  • •For tutorials: https://github.com/pytorch/tutorials
  • •For changes to pytorch.org: https://github.com/pytorch/pytorch.github.io
  • •For a general model hub: https://pytorch.org/hub/ or https://huggingface.co/models
  • •For recipes on how to run PyTorch in production: https://github.com/facebookresearch/recipes
  • •For general Q&A and support: https://discuss.pytorch.org/
  • •Image classification (MNIST) using Convnets
  • •Word-level Language Modeling using RNN and Transformer
  • •Training Imagenet Classifiers with Popular Networks
  • •Generative Adversarial Networks (DCGAN)
  • •Variational Auto-Encoders

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发布日期2026年8月1日
最后更新2026年9月9日
分类编程语言
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