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A repository showcasing examples of using PyTorch:
- 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 in OpenAI Gym 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
- Several examples illustrating the C++ Frontend
Additionally, a list of good examples hosted in their own repositories: