# pytorch_examples **Repository Path**: shzgamelife/pytorch_examples ## Basic Information - **Project Name**: pytorch_examples - **Description**: No description available - **Primary Language**: Unknown - **License**: BSD-3-Clause - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-05-25 - **Last Updated**: 2021-05-25 ## Categories & Tags **Categories**: Uncategorized **Tags**: 基础框架 ## README # PyTorch Examples ![Run Examples](https://github.com/pytorch/examples/workflows/Run%20Examples/badge.svg) WARNING: if you fork this repo, github actions will run daily on it. To disable this, go to /examples/settings/actions and Disable Actions for this repository 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)