(转) The Incredible PyTorch

转自：https://github.com/ritchieng/the-incredible-pytorch

The Incredible PyTorch

What is this?

This is inspired by the famous Awesome TensorFlow repository where this repository would hold tutorials, projects, libraries, videos, papers, books and anything related to the incredible PyTorch.

Tutorials

Official PyTorch Tutorials
Deep Learning with PyTorch: a 60-minute blitz

A perfect introduction to PyTorch's torch, autograd, nn and optim APIs

If you are a former Torch user, you can check out this instead: Introduction to PyTorch for former Torchies

Custom C extensions

Write your own C code that interfaces into PyTorch via FFI

Writing your own neural network module that uses numpy and scipy

Reinforcement (Q-)Learning with PyTorch

Official PyTorch Examples

MNIST Convnets

Word level Language Modeling using LSTM RNNs

Training Imagenet Classifiers with Residual Networks

Generative Adversarial Networks (DCGAN)

Variational Auto-Encoders

Superresolution using an efficient sub-pixel convolutional neural network

Hogwild training of shared ConvNets across multiple processes on MNIST

Training a CartPole to balance in OpenAI Gym with actor-critic

Natural Language Inference (SNLI) with GloVe vectors, LSTMs, and torchtext

Practical PyTorch

This focuses on using RNNs for NLP

Classifying Names with a Character-Level RNN

Generating Names with a Character-Level RNN

Translation with a Sequence to Sequence Network and Attention

Simple Examples to Introduce PyTorch

Mini Tutorials in PyTorch

Tensor Multiplication, Linear Regresison, Logistic Regression, Neural Network, Modern Neural Network, and Convolutional Neural Network

Papers in PyTorch

Learning to learn by gradient descent by gradient descent

Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer

Wasserstein GAN

Densely Connected Convolutional Networks

A Neural Algorithm of Artistic Style

Very Deep Convolutional Networks for Large-Scale Image Recognition

VGG model in PyTorch.

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

Network In Network

Deep Residual Learning for Image Recognition

ResNet model in PyTorch.

Wide Residual Networks

Wide ResNet model in PyTorch

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

FlowNet: Learning Optical Flow with Convolutional Networks

Projects in Pytorch

Reinforcement learning models in ViZDoom environment with PyTorch

Collection of Generative Models with PyTorch

Generative Adversarial Nets (GAN)
Vanilla GAN

Conditional GAN

InfoGAN

Wasserstein GAN

Mode Regularized GAN

Variational Autoencoder (VAE)
Vanilla VAE

Conditional VAE

Denoising VAE

Adversarial Autoencoder

Adversarial Variational Bayes

Community

PyTorch Discussion Forum

This is actively maintained by Adam Paszke

StackOverFlow PyTorch Tags

Contributions

Do feel free to contribute!

You can raise an isssue or submit a pull request, whichever is more convenient for you. The guideline is simple: just follow the format of the previous bullet point.