PyTorch 1.0 Chinese documents formally accepted proofing | ApacheCN

Copyright: License CC BY-NC-SA 4.0 / proudly powered by Google translation https://blog.csdn.net/wizardforcel/article/details/91635930

Participation: https://github.com/apachecn/pytorch-doc-zh/blob/master/CONTRIBUTING.md

Overall progress: https://github.com/apachecn/pytorch-doc-zh/issues/274

Warehouse Project: https://github.com/apachecn/pytorch-doc-zh

Overall progress

chapter	Contributors	schedule	Verifier	schedule
Tutorial section	-	-	-	-
Deep Learning with PyTorch: A 60 Minute Blitz	@ Bat67	100%	@AllenZYJ
What is PyTorch?	@ Bat67	100%	@AllenZYJ
Autograd: Automatic Differentiation	@ Bat67	100%	@AllenZYJ
Neural Networks	@ Bat67	100%	@AllenZYJ
Training a Classifier	@ Bat67	100%	@AllenZYJ
Optional: Data Parallelism	@ Bat67	100%
Data Loading and Processing Tutorial	@ yportne13	100%
Learning PyTorch with Examples	@ Bat67	100%	@Smilexuhc
Transfer Learning Tutorial	@jiangzhonglian	100%	@Infadha
Deploying a Seq2Seq Model with the Hybrid Frontend	@cangyunye	100%
Saving and Loading Models	@bruce1408	100%
What is torch.nn really?	@ Lhc741	100%
Finetuning Torchvision Models	@ZHHAYO	100%
Spatial Transformer Networks Tutorial	@PEGASUS1993	100%	@Smilexuhc
Neural Transfer Using PyTorch	@bdqfork	100%
Adversarial Example Generation	@cangyunye	100%	@Infadha
Transfering a Model from PyTorch to Caffe2 and Mobile using ONNX	@PEGASUS1993	100%
Chatbot Tutorial	@ A625687551	100%
Generating Names with a Character-Level RNN	@hhxx2015	100%
Classifying Names with a Character-Level RNN	@hhxx2015	100%
Deep Learning for NLP with Pytorch	@bruce1408	100%
Introduction to PyTorch	@guobaoyo	100%
Deep Learning with PyTorch	@bdqfork	100%
Word Embeddings: Encoding Lexical Semantics	@sight007	100%	@Smilexuhc
Sequence Models and Long-Short Term Memory Networks	@ETCartman	100%
Advanced: Making Dynamic Decisions and the Bi-LSTM CRF	@JohnJiangLA
Translation with a Sequence to Sequence Network and Attention	@ Mengfu188	100%
DCGAN Tutorial	@ Wangshuai9517	100%
Reinforcement Learning (DQN) Tutorial	@ friedhelm739	100%
Creating Extensions Using numpy and scipy	@cangyunye	100%
Custom C++ and CUDA Extensions	@P3n9W31
Extending TorchScript with Custom C++ Operators	@sunxia233
Writing Distributed Applications with PyTorch	@firdameng	100%
PyTorch 1.0 Distributed Trainer with Amazon AWS	@yportne13	100%
ONNX Live Tutorial	@PEGASUS1993	100%
Loading a PyTorch Model in C++	@talengu	100%
Using the PyTorch C++ Frontend	@solerji	100%
文档部分	-	-	-	-
Autograd mechanics	@PEGASUS1993	100%
Broadcasting semantics	@PEGASUS1993	100%
CUDA semantics	@jiangzhonglian	100%
Extending PyTorch	@PEGASUS1993	100%
Frequently Asked Questions	@PEGASUS1993	100%
Multiprocessing best practices	@cvley	100%
Reproducibility	@WyattHuang1
Serialization semantics	@yuange250	100%
Windows FAQ	@PEGASUS1993	100%
torch	@yiran7324
torch.Tensor	@hijkzzz	100%
Tensor Attributes	@yuange250	100%
Type Info	@PEGASUS1993	100%
torch.sparse	@hijkzzz	100%
torch.cuda	@bdqfork	100%
torch.Storage	@yuange250	100%
torch.nn	@yuange250	100%
torch.nn.functional	@hijkzzz	100%
torch.nn.init	@GeneZC	100%
torch.optim	@qiaokuoyuan
Automatic differentiation package - torch.autograd	@gfjiangly	100%
Distributed communication package - torch.distributed	@univeryinli	100%
Probability distributions - torch.distributions	@hijkzzz	100%
Torch Script	@keyianpai	100%
Multiprocessing package - torch.multiprocessing	@hijkzzz	100%
torch.utils.bottleneck	@belonHan	100%
torch.utils.checkpoint	@belonHan	100%
torch.utils.cpp_extension	@belonHan	100%
torch.utils.data	@BXuan694	100%
torch.utils.dlpack	@kunwuz	100%
torch.hub	@kunwuz	100%
torch.utils.model_zoo	@BXuan694	100%
torch.onnx	@guobaoyo	100%
Distributed communication package (deprecated) - torch.distributed.deprecated	@luxinfeng
torchvision Reference	@BXuan694	100%
torchvision.datasets	@BXuan694	100%
torchvision.models	@BXuan694	100%
torchvision.transforms	@BXuan694	100%
torchvision.utils	@BXuan694	100%

奖励

贡献者可以领取官方的纪念礼物。邮件部分内容如下：

As a start, let us know where we can ship you some PyTorch swag!
We have stickers, t-shirts, hoodies, and backpacks – let us know what sizes you need.

请贡献者在 #353留下联系方式，有任何问题请私聊片刻（QQ 529815144）。