Based on Official Pytorch Tutorial and yunjey's pytorch-tutorial, this repository provides tutorial code for deep learning researchers to learn PyTorch .
There is also a PyTorch tutorial demonstrating modern techniques with readable code ๐ป.
If you are looking for some fun projects including neural talk, neural style, poem writing, anime generation and so on, you can read pytorch-book :squirrel:.
Of course, anything on github has its own "Awesome" ๐. The Awesome-pytorch-list collected different models, implementations, helper libraries, tutorials, etc ๐.
All in all, Life Is Short, You Need Pytorch ๐.
- Getting Started
- Autograd
- PyTorch Basics
- Linear Regression
- Logistic Regression
- Feedforward Neural Network
- Neural Networks
- Optional Data Parallelism
- Training a Classifier
- Convolutional Neural Network
- Deep Residual Network
- Recurrent Neural Network
- Bidirectional Recurrent Neural Network
- Language Model (RNN-LM)
- Chatbot
- Finetuning Torchvision Models
- Generative Adversarial Networks
- Image Captioning (CNN-RNN)
- Neural Style Transfer
- NMT (Seq2Seq+Attention)
- Object Detection Finetuning
- Spatial Transformer Networks
- Variational Auto-Encoder
- Meta-Learning
See the LICENSE file for this repository's licensing.