A repository showcasing examples of using pytorch
Basic examples:
- MNIST Convnets
- Word level Language Modeling using LSTM RNNs
- Imagenet-12 training 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
Larger examples / whole projects:
- OpenNMT: A PyTorch port of OpenNMT, a sequence to sequence model for Neural Translation