https://github.com/yunjey/pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers
https://github.com/yunjey/pytorch-tutorial

deep-learning neural-networks pytorch pytorch-tutorial

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PyTorch Tutorial for Deep Learning Researchers

• Host: GitHub
• URL: https://github.com/yunjey/pytorch-tutorial
• Owner: yunjey
• License: mit
• Created: 2017-03-10T07:41:47.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2023-08-15T10:17:50.000Z (over 1 year ago)
• Last Synced: 2024-12-02T19:11:33.396Z (10 days ago)
• Topics: deep-learning, neural-networks, pytorch, pytorch-tutorial
• Language: Python
• Homepage:
• Size: 12.5 MB
• Stars: 30,357
• Watchers: 625
• Forks: 8,139
• Open Issues: 87
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        


--------------------------------------------------------------------------------

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/)