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A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
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dcgan
fast_neural_style
imagenet
mnist
mnist_hogwild
regression
reinforcement_learning
snli
super_resolution properly install data Jul 11, 2018
time_sequence_prediction
vae
word_language_model
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README.md
infer_super_resolution.sh
train_super_resolution.sh

README.md

PyTorch Examples

A repository showcasing examples of using PyTorch

  • MNIST Convnets
  • Word level Language Modeling using LSTM RNNs
  • Training Imagenet Classifiers with Residual 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 in OpenAI Gym with actor-critic
  • Natural Language Inference (SNLI) with GloVe vectors, LSTMs, and torchtext
  • Time sequence prediction - create an LSTM to learn Sine waves

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

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