LIS-YNP (Life Is Short-You Need Pytorch)

Based on Official Pytorch Tutorial and yunjey’s pytorch-tutorial, this repository provides tutorial code for deep learning researchers to learn PyTorch :octocat:.

There is also a PyTorch tutorial demonstrating modern techniques with readable code :ghost:.

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” :full_moon_with_face:. The Awesome-pytorch-list collected different models, implementations, helper libraries, tutorials, etc :gift_heart:.

All in all, Life Is Short, You Need Pytorch :innocent:.

Table of Contents

1. Basics

• Getting Started
• Autograd
• PyTorch Basics
• Linear Regression
• Logistic Regression
• Feedforward Neural Network
• Neural Networks
• Optional Data Parallelism

2. Intermediate

• Training a Classifier
• Convolutional Neural Network
• Deep Residual Network
• Recurrent Neural Network
• Bidirectional Recurrent Neural Network
• Language Model (RNN-LM)

3. Advanced

• 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

4. Utilities

• OpCounter
• TensorBoard in PyTorch
• TensorWatch

License

See the LICENSE file for this repository’s licensing.