参与方式：https://github.com/apachecn/pytorch-doc-zh/blob/master/CONTRIBUTING.md
整体进度：https://github.com/apachecn/pytorch-doc-zh/issues/274
项目仓库：https://github.com/apachecn/pytorch-doc-zh
贡献指南
请您勇敢地去翻译和改进翻译。虽然我们追求卓越，但我们并不要求您做到十全十美，因此请不要担心因为翻译上犯错——在大部分情况下，我们的服务器已经记录所有的翻译，因此您不必担心会因为您的失误遭到无法挽回的破坏。（改编自维基百科）
可能有用的链接：
- 1.0 英文文档
- 1.0 英文教程
- 0.3 中文教程 & 文档
- 0.4 中文文档
章节列表
- Getting Started
- Deep Learning with PyTorch: A 60 Minute Blitz
- What is PyTorch?
- Autograd: Automatic Differentiation
- Neural Networks
- Training a Classifier
- Optional: Data Parallelism
- Data Loading and Processing Tutorial
- Learning PyTorch with Examples
- Transfer Learning Tutorial
- Deploying a Seq2Seq Model with the Hybrid Frontend
- Saving and Loading Models
- What is <cite>torch.nn</cite> really?
- Image
- Finetuning Torchvision Models
- Spatial Transformer Networks Tutorial
- Neural Transfer Using PyTorch
- Adversarial Example Generation
- Transfering a Model from PyTorch to Caffe2 and Mobile using ONNX
- Text
- Chatbot Tutorial
- Generating Names with a Character-Level RNN
- Classifying Names with a Character-Level RNN
- Deep Learning for NLP with Pytorch
- Introduction to PyTorch
- Deep Learning with PyTorch
- Word Embeddings: Encoding Lexical Semantics
- Sequence Models and Long-Short Term Memory Networks
- Advanced: Making Dynamic Decisions and the Bi-LSTM CRF
- Translation with a Sequence to Sequence Network and Attention
- Generative
- DCGAN Tutorial
- Reinforcement Learning
- Reinforcement Learning (DQN) Tutorial
- Extending PyTorch
- Creating Extensions Using numpy and scipy
- Custom C++ and CUDA Extensions
- Extending TorchScript with Custom C++ Operators
- Production Usage
- Writing Distributed Applications with PyTorch
- PyTorch 1.0 Distributed Trainer with Amazon AWS
- ONNX Live Tutorial
- Loading a PyTorch Model in C++
- PyTorch in Other Languages
- Using the PyTorch C++ Frontend
流程
一、认领
首先查看整体进度，确认没有人认领了你想认领的章节。
然后回复 ISSUE，注明“章节 + QQ 号”（一定要留 QQ）。
二、翻译
可以合理利用翻译引擎（例如谷歌），但一定要把它变得可读！
可以参照之前版本的中文文档，如果有用的话。
如果遇到格式问题，请随手把它改正。
三、提交
-
forkGithub 项目 - 将译文放在
docs/1.0文件夹下 pushpull request
请见 Github 入门指南。
