Back to rankings
yunjey/pytorch-tutorial
PythonPyTorch Tutorial for Deep Learning Researchers
deep-learningpytorch-tutorialneural-networkspytorch
Key Metrics
Star Growth
Stars
32.4k
Forks
8.2k
Weekly Growth
—
Issues
66
10k20k30k
Mar 2017Sep 2018Apr 2020Nov 2021Jun 2023Dec 2024Jul 2026
ArtifactsPyPI
pip install pytorch-tutorialREADME
This repository provides tutorial code for deep learning researchers to learn 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.
Table of Contents
1. Basics
2. Intermediate
- Convolutional Neural Network
- Deep Residual Network
- Recurrent Neural Network
- Bidirectional Recurrent Neural Network
- Language Model (RNN-LM)
3. Advanced
- Generative Adversarial Networks
- Variational Auto-Encoder
- Neural Style Transfer
- Image Captioning (CNN-RNN)
4. Utilities
Getting Started
$ git clone https://github.com/yunjey/pytorch-tutorial.git
$ cd pytorch-tutorial/tutorials/PATH_TO_PROJECT
$ python main.py
Dependencies
Related repositories