# pytorch-official-examples **Repository Path**: zhangyan1979/pytorch-official-examples ## Basic Information - **Project Name**: pytorch-official-examples - **Description**: No description available - **Primary Language**: Unknown - **License**: BSD-3-Clause - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 1 - **Created**: 2020-01-30 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # PyTorch Examples A repository showcasing examples of using [PyTorch](https://github.com/pytorch/pytorch) - [Image classification (MNIST) using Convnets](mnist) - [Word level Language Modeling using LSTM RNNs](word_language_model) - [Training Imagenet Classifiers with Residual Networks](imagenet) - [Generative Adversarial Networks (DCGAN)](dcgan) - [Variational Auto-Encoders](vae) - [Superresolution using an efficient sub-pixel convolutional neural network](super_resolution) - [Hogwild training of shared ConvNets across multiple processes on MNIST](mnist_hogwild) - [Training a CartPole to balance in OpenAI Gym with actor-critic](reinforcement_learning) - [Natural Language Inference (SNLI) with GloVe vectors, LSTMs, and torchtext](snli) - [Time sequence prediction - use an LSTM to learn Sine waves](time_sequence_prediction) - [Implement the Neural Style Transfer algorithm on images](fast_neural_style) - [Several examples illustrating the C++ Frontend](cpp) Additionally, a list of good examples hosted in their own repositories: - [Neural Machine Translation using sequence-to-sequence RNN with attention (OpenNMT)](https://github.com/OpenNMT/OpenNMT-py)