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.