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