文件列表:

LICENSE (1057, 2018-05-15)
logo\pytorch_logo.png (27763, 2018-05-15)
tutorials\01-basics\feedforward_neural_network\main.py (3136, 2018-05-15)
tutorials\01-basics\linear_regression\main.py (1553, 2018-05-15)
tutorials\01-basics\logistic_regression\main.py (2555, 2018-05-15)
tutorials\01-basics\pytorch_basics\main.py (6310, 2018-05-15)
tutorials\02-intermediate\bidirectional_recurrent_neural_network\main.py (3600, 2018-05-15)
tutorials\02-intermediate\convolutional_neural_network\main.py (3362, 2018-05-15)
tutorials\02-intermediate\deep_residual_network\main.py (5843, 2018-05-15)
tutorials\02-intermediate\language_model\data\train.txt (5101618, 2018-05-15)
tutorials\02-intermediate\language_model\data_utils.py (1301, 2018-05-15)
tutorials\02-intermediate\language_model\main.py (4018, 2018-05-15)
tutorials\02-intermediate\recurrent_neural_network\main.py (3523, 2018-05-15)
tutorials\03-advanced\generative_adversarial_network\main.py (4888, 2018-05-15)
tutorials\03-advanced\image_captioning\build_vocab.py (2459, 2018-05-15)
tutorials\03-advanced\image_captioning\data_loader.py (3929, 2018-05-15)
tutorials\03-advanced\image_captioning\download.sh (471, 2018-05-15)
tutorials\03-advanced\image_captioning\model.py (2718, 2018-05-15)
tutorials\03-advanced\image_captioning\png\example.png (225516, 2018-05-15)
tutorials\03-advanced\image_captioning\png\image_captioning.png (251706, 2018-05-15)
tutorials\03-advanced\image_captioning\png\model.png (251644, 2018-05-15)
tutorials\03-advanced\image_captioning\requirements.txt (37, 2018-05-15)
tutorials\03-advanced\image_captioning\resize.py (1553, 2018-05-15)
tutorials\03-advanced\image_captioning\sample.py (3019, 2018-05-15)
tutorials\03-advanced\image_captioning\train.py (4498, 2018-05-15)
tutorials\03-advanced\neural_style_transfer\main.py (4547, 2018-05-15)
tutorials\03-advanced\neural_style_transfer\png\content.png (613258, 2018-05-15)
tutorials\03-advanced\neural_style_transfer\png\neural_style.png (1360524, 2018-05-15)
tutorials\03-advanced\neural_style_transfer\png\neural_style2.png (504654, 2018-05-15)
tutorials\03-advanced\neural_style_transfer\png\style.png (697823, 2018-05-15)
tutorials\03-advanced\neural_style_transfer\png\style2.png (970028, 2018-05-15)
tutorials\03-advanced\neural_style_transfer\png\style3.png (1272354, 2018-05-15)
tutorials\03-advanced\neural_style_transfer\png\style4.png (1952471, 2018-05-15)
tutorials\03-advanced\neural_style_transfer\requirements.txt (34, 2018-05-15)
tutorials\03-advanced\variational_autoencoder\main.py (3335, 2018-05-15)
tutorials\04-utils\tensorboard\gif\tensorboard.gif (574821, 2018-05-15)
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-------------------------------------------------------------------------------- This repository provides tutorial code for deep learning researchers to learn [PyTorch](https://github.com/pytorch/pytorch). In the tutorial, most of the models were implemented with less than 30 lines of code. Before starting this tutorial, it is recommended to finish [Official Pytorch Tutorial](http://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html).
## Table of Contents #### 1. Basics * [PyTorch Basics](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/01-basics/pytorch_basics/main.py) * [Linear Regression](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/01-basics/linear_regression/main.py#L22-L23) * [Logistic Regression](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/01-basics/logistic_regression/main.py#L33-L34) * [Feedforward Neural Network](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/01-basics/feedforward_neural_network/main.py#L37-L49) #### 2. Intermediate * [Convolutional Neural Network](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/convolutional_neural_network/main.py#L35-L56) * [Deep Residual Network](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/deep_residual_network/main.py#L76-L113) * [Recurrent Neural Network](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/recurrent_neural_network/main.py#L39-L58) * [Bidirectional Recurrent Neural Network](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/bidirectional_recurrent_neural_network/main.py#L39-L58) * [Language Model (RNN-LM)](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/language_model/main.py#L30-L50) #### 3. Advanced * [Generative Adversarial Networks](https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/03-advanced/generative_adversarial_network/main.py#L41-L57) * [Variational Auto-Encoder](https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/03-advanced/variational_autoencoder/main.py#L38-L65) * [Neural Style Transfer](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/03-advanced/neural_style_transfer) * [Image Captioning (CNN-RNN)](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/03-advanced/image_captioning) #### 4. Utilities * [TensorBoard in PyTorch](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/04-utils/tensorboard)
## Getting Started ```bash $ git clone https://github.com/yunjey/pytorch-tutorial.git $ cd pytorch-tutorial/tutorials/PATH_TO_PROJECT $ python main.py ```
## Dependencies * [Python 2.7 or 3.5+](https://www.continuum.io/downloads) * [PyTorch 0.4.0](http://pytorch.org/)
## Author Yunjey Choi/ [@yunjey](https://github.com/yunjey)

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