PyTorch 1.0 中文文档正式接受校对 | ApacheCN

ゝ一世哀愁。 2022-01-17 07:17 256阅读 0赞

参与方式：[https://github.com/apachecn/pytorch-doc-zh/blob/master/CONTRIBUTING.md][https_github.com_apachecn_pytorch-doc-zh_blob_master_CONTRIBUTING.md]

整体进度：[https://github.com/apachecn/pytorch-doc-zh/issues/274][https_github.com_apachecn_pytorch-doc-zh_issues_274]

项目仓库：[https://github.com/apachecn/pytorch-doc-zh][https_github.com_apachecn_pytorch-doc-zh]

## 整体进度 ##

<table> 
 <thead> 
  <tr> 
   <th>章节</th> 
   <th>贡献者</th> 
   <th>进度</th> 
   <th>校验者</th> 
   <th>进度</th> 
  </tr> 
 </thead> 
 <tbody> 
  <tr> 
   <td>教程部分</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/deep_learning_60min_blitz.md" rel="nofollow">Deep Learning with PyTorch: A 60 Minute Blitz</a></td> 
   <td>@bat67</td> 
   <td>100%</td> 
   <td>@AllenZYJ</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/blitz_tensor_tutorial.md" rel="nofollow">What is PyTorch?</a></td> 
   <td>@bat67</td> 
   <td>100%</td> 
   <td>@AllenZYJ</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/blitz_autograd_tutorial.md" rel="nofollow">Autograd: Automatic Differentiation</a></td> 
   <td>@bat67</td> 
   <td>100%</td> 
   <td>@AllenZYJ</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/blitz_neural_networks_tutorial.md" rel="nofollow">Neural Networks</a></td> 
   <td>@bat67</td> 
   <td>100%</td> 
   <td>@AllenZYJ</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/blitz_cifar10_tutorial.md" rel="nofollow">Training a Classifier</a></td> 
   <td>@bat67</td> 
   <td>100%</td> 
   <td>@AllenZYJ</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/blitz_data_parallel_tutorial.md" rel="nofollow">Optional: Data Parallelism</a></td> 
   <td>@bat67</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/data_loading_tutorial.md" rel="nofollow">Data Loading and Processing Tutorial</a></td> 
   <td>@yportne13</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/pytorch_with_examples.md" rel="nofollow">Learning PyTorch with Examples</a></td> 
   <td>@bat67</td> 
   <td>100%</td> 
   <td>@Smilexuhc</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/transfer_learning_tutorial.md" rel="nofollow">Transfer Learning Tutorial</a></td> 
   <td>@jiangzhonglian</td> 
   <td>100%</td> 
   <td>@infdahai</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/deploy_seq2seq_hybrid_frontend_tutorial.md" rel="nofollow">Deploying a Seq2Seq Model with the Hybrid Frontend</a></td> 
   <td>@cangyunye</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/saving_loading_models.md" rel="nofollow">Saving and Loading Models</a></td> 
   <td>@bruce1408</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/nn_tutorial.md" rel="nofollow">What is torch.nn really?</a></td> 
   <td>@lhc741</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/finetuning_torchvision_models_tutorial.md" rel="nofollow">Finetuning Torchvision Models</a></td> 
   <td>@ZHHAYO</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/spatial_transformer_tutorial.md" rel="nofollow">Spatial Transformer Networks Tutorial</a></td> 
   <td>@PEGASUS1993</td> 
   <td>100%</td> 
   <td>@Smilexuhc</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/neural_style_tutorial.md" rel="nofollow">Neural Transfer Using PyTorch</a></td> 
   <td>@bdqfork</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/fgsm_tutorial.md" rel="nofollow">Adversarial Example Generation</a></td> 
   <td>@cangyunye</td> 
   <td>100%</td> 
   <td>@infdahai</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/super_resolution_with_caffe2.md" rel="nofollow">Transfering a Model from PyTorch to Caffe2 and Mobile using ONNX</a></td> 
   <td>@PEGASUS1993</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/chatbot_tutorial.md" rel="nofollow">Chatbot Tutorial</a></td> 
   <td>@a625687551</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/char_rnn_generation_tutorial.md" rel="nofollow">Generating Names with a Character-Level RNN</a></td> 
   <td>@hhxx2015</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/char_rnn_classification_tutorial.md" rel="nofollow">Classifying Names with a Character-Level RNN</a></td> 
   <td>@hhxx2015</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/deep_learning_nlp_tutorial.md" rel="nofollow">Deep Learning for NLP with Pytorch</a></td> 
   <td>@bruce1408</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/nlp_pytorch_tutorial.md" rel="nofollow">Introduction to PyTorch</a></td> 
   <td>@guobaoyo</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/nlp_deep_learning_tutorial.md" rel="nofollow">Deep Learning with PyTorch</a></td> 
   <td>@bdqfork</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/nlp_word_embeddings_tutorial.md" rel="nofollow">Word Embeddings: Encoding Lexical Semantics</a></td> 
   <td>@sight007</td> 
   <td>100%</td> 
   <td>@Smilexuhc</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/nlp_sequence_models_tutorial.md" rel="nofollow">Sequence Models and Long-Short Term Memory Networks</a></td> 
   <td>@ETCartman</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/nlp_advanced_tutorial.md" rel="nofollow">Advanced: Making Dynamic Decisions and the Bi-LSTM CRF</a></td> 
   <td>@JohnJiangLA</td> 
   <td></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/seq2seq_translation_tutorial.md" rel="nofollow">Translation with a Sequence to Sequence Network and Attention</a></td> 
   <td>@mengfu188</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/dcgan_faces_tutorial.md" rel="nofollow">DCGAN Tutorial</a></td> 
   <td>@wangshuai9517</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/reinforcement_q_learning.md" rel="nofollow">Reinforcement Learning (DQN) Tutorial</a></td> 
   <td>@friedhelm739</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/numpy_extensions_tutorial.md" rel="nofollow">Creating Extensions Using numpy and scipy</a></td> 
   <td>@cangyunye</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/cpp_extension.md" rel="nofollow">Custom C++ and CUDA Extensions</a></td> 
   <td>@P3n9W31</td> 
   <td></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torch_script_custom_ops.md" rel="nofollow">Extending TorchScript with Custom C++ Operators</a></td> 
   <td>@sunxia233</td> 
   <td></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/dist_tuto.md" rel="nofollow">Writing Distributed Applications with PyTorch</a></td> 
   <td>@firdameng</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/aws_distributed_training_tutorial.md" rel="nofollow">PyTorch 1.0 Distributed Trainer with Amazon AWS</a></td> 
   <td>@yportne13</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/ONNXLive.md" rel="nofollow">ONNX Live Tutorial</a></td> 
   <td>@PEGASUS1993</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/cpp_export.md" rel="nofollow">Loading a PyTorch Model in C++</a></td> 
   <td>@talengu</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/cpp_frontend.md" rel="nofollow">Using the PyTorch C++ Frontend</a></td> 
   <td>@solerji</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>文档部分</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/notes_autograd.md" rel="nofollow">Autograd mechanics</a></td> 
   <td>@PEGASUS1993</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/notes_broadcasting.md" rel="nofollow">Broadcasting semantics</a></td> 
   <td>@PEGASUS1993</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/notes_cuda.md" rel="nofollow">CUDA semantics</a></td> 
   <td>@jiangzhonglian</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/notes_extending.md" rel="nofollow">Extending PyTorch</a></td> 
   <td>@PEGASUS1993</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/notes_faq.md" rel="nofollow">Frequently Asked Questions</a></td> 
   <td>@PEGASUS1993</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/notes_multiprocessing.md" rel="nofollow">Multiprocessing best practices</a></td> 
   <td>@cvley</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/notes_randomness.md" rel="nofollow">Reproducibility</a></td> 
   <td>@WyattHuang1</td> 
   <td></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/notes_serialization.md" rel="nofollow">Serialization semantics</a></td> 
   <td>@yuange250</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/notes_windows.md" rel="nofollow">Windows FAQ</a></td> 
   <td>@PEGASUS1993</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torch.md" rel="nofollow">torch</a></td> 
   <td>@yiran7324</td> 
   <td></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/tensors.md" rel="nofollow">torch.Tensor</a></td> 
   <td>@hijkzzz</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/tensor_attributes.md" rel="nofollow">Tensor Attributes</a></td> 
   <td>@yuange250</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/type_info.md" rel="nofollow">Type Info</a></td> 
   <td>@PEGASUS1993</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/sparse.md" rel="nofollow">torch.sparse</a></td> 
   <td>@hijkzzz</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/cuda.md" rel="nofollow">torch.cuda</a></td> 
   <td>@bdqfork</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/storage.md" rel="nofollow">torch.Storage</a></td> 
   <td>@yuange250</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/nn.md" rel="nofollow">torch.nn</a></td> 
   <td>@yuange250</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/nn_functional.md" rel="nofollow">torch.nn.functional</a></td> 
   <td>@hijkzzz</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/nn_init.md" rel="nofollow">torch.nn.init</a></td> 
   <td>@GeneZC</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/optim.md" rel="nofollow">torch.optim</a></td> 
   <td>@qiaokuoyuan</td> 
   <td></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/autograd.md" rel="nofollow">Automatic differentiation package - torch.autograd</a></td> 
   <td>@gfjiangly</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/distributed.md" rel="nofollow">Distributed communication package - torch.distributed</a></td> 
   <td>@univeryinli</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/distributions.md" rel="nofollow">Probability distributions - torch.distributions</a></td> 
   <td>@hijkzzz</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/jit.md" rel="nofollow">Torch Script</a></td> 
   <td>@keyianpai</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/multiprocessing.md" rel="nofollow">Multiprocessing package - torch.multiprocessing</a></td> 
   <td>@hijkzzz</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/bottleneck.md" rel="nofollow">torch.utils.bottleneck</a></td> 
   <td>@belonHan</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/checkpoint.md" rel="nofollow">torch.utils.checkpoint</a></td> 
   <td>@belonHan</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/docs_cpp_extension.md" rel="nofollow">torch.utils.cpp_extension</a></td> 
   <td>@belonHan</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/data.md" rel="nofollow">torch.utils.data</a></td> 
   <td>@BXuan694</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/dlpack.md" rel="nofollow">torch.utils.dlpack</a></td> 
   <td>@kunwuz</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/hub.md" rel="nofollow">torch.hub</a></td> 
   <td>@kunwuz</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/model_zoo.md" rel="nofollow">torch.utils.model_zoo</a></td> 
   <td>@BXuan694</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/onnx.md" rel="nofollow">torch.onnx</a></td> 
   <td>@guobaoyo</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/distributed_deprecated.md" rel="nofollow">Distributed communication package (deprecated) - torch.distributed.deprecated</a></td> 
   <td>@luxinfeng</td> 
   <td></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/docs_torchvision_ref.md" rel="nofollow">torchvision Reference</a></td> 
   <td>@BXuan694</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torchvision_datasets.md" rel="nofollow">torchvision.datasets</a></td> 
   <td>@BXuan694</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torchvision_models.md" rel="nofollow">torchvision.models</a></td> 
   <td>@BXuan694</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torchvision_transforms.md" rel="nofollow">torchvision.transforms</a></td> 
   <td>@BXuan694</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torchvision_utils.md" rel="nofollow">torchvision.utils</a></td> 
   <td>@BXuan694</td> 
   <td>100%</td> 
   <td></td> 
   <td></td> 
  </tr> 
 </tbody> 
</table>

## 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][353]留下联系方式，有任何问题请私聊片刻（QQ 529815144）。

[https_github.com_apachecn_pytorch-doc-zh_blob_master_CONTRIBUTING.md]: https://github.com/apachecn/pytorch-doc-zh/blob/master/CONTRIBUTING.md
[https_github.com_apachecn_pytorch-doc-zh_issues_274]: https://github.com/apachecn/pytorch-doc-zh/issues/274
[https_github.com_apachecn_pytorch-doc-zh]: https://github.com/apachecn/pytorch-doc-zh
[353]: https://github.com/apachecn/pytorch-doc-zh/issues/353