ApacheCN 翻译活动进度公告 2019.2.18

电玩女神 2022-03-16 12:22 195阅读 0赞

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## PyTorch 1.0 中文文档和教程 ##

教程部分：认领：36/37，翻译：28/37；文档部分：认领：29/39，翻译：15/39

参与方式：[github.com/apachecn/py…][github.com_apachecn_py]

整体进度：[github.com/apachecn/py…][github.com_apachecn_py 1]

项目仓库：[github.com/apachecn/py…][github.com_apachecn_py 2]

<table> 
 <thead> 
  <tr> 
   <th>章节</th> 
   <th>贡献者</th> 
   <th>进度</th> 
  </tr> 
 </thead> 
 <tbody> 
  <tr> 
   <td>教程部分</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fdeep_learning_60min_blitz.md" rel="nofollow">Deep Learning with PyTorch: A 60 Minute Blitz</a></td> 
   <td>@bat67</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fblitz_tensor_tutorial.md" rel="nofollow">What is PyTorch?</a></td> 
   <td>@bat67</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fblitz_autograd_tutorial.md" rel="nofollow">Autograd: Automatic Differentiation</a></td> 
   <td>@bat67</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fblitz_neural_networks_tutorial.md" rel="nofollow">Neural Networks</a></td> 
   <td>@bat67</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fblitz_cifar10_tutorial.md" rel="nofollow">Training a Classifier</a></td> 
   <td>@bat67</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fblitz_data_parallel_tutorial.md" rel="nofollow">Optional: Data Parallelism</a></td> 
   <td>@bat67</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fdata_loading_tutorial.md" rel="nofollow">Data Loading and Processing Tutorial</a></td> 
   <td>@yportne13</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fpytorch_with_examples.md" rel="nofollow">Learning PyTorch with Examples</a></td> 
   <td>@bat67</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Ftransfer_learning_tutorial.md" rel="nofollow">Transfer Learning Tutorial</a></td> 
   <td>@jiangzhonglian</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fdeploy_seq2seq_hybrid_frontend_tutorial.md" rel="nofollow">Deploying a Seq2Seq Model with the Hybrid Frontend</a></td> 
   <td>@cangyunye</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fsaving_loading_models.md" rel="nofollow">Saving and Loading Models</a></td> 
   <td>@sfyumi</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fnn_tutorial.md" rel="nofollow">What is &lt;cite&gt;torch.nn&lt;/cite&gt; <em>really</em>?</a></td> 
   <td>@lhc741</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Ffinetuning_torchvision_models_tutorial.md" rel="nofollow">Finetuning Torchvision Models</a></td> 
   <td>@ZHHAYO</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fspatial_transformer_tutorial.md" rel="nofollow">Spatial Transformer Networks Tutorial</a></td> 
   <td>@PEGASUS1993</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fneural_style_tutorial.md" rel="nofollow">Neural Transfer Using PyTorch</a></td> 
   <td>@bdqfork</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Ffgsm_tutorial.md" rel="nofollow">Adversarial Example Generation</a></td> 
   <td>@cangyunye</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fsuper_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> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fchatbot_tutorial.md" rel="nofollow">Chatbot Tutorial</a></td> 
   <td>@a625687551</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fchar_rnn_generation_tutorial.md" rel="nofollow">Generating Names with a Character-Level RNN</a></td> 
   <td>@hhxx2015</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fchar_rnn_classification_tutorial.md" rel="nofollow">Classifying Names with a Character-Level RNN</a></td> 
   <td>@hhxx2015</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fdeep_learning_nlp_tutorial.md" rel="nofollow">Deep Learning for NLP with Pytorch</a></td> 
   <td>@BreezeHavana</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fnlp_pytorch_tutorial.md" rel="nofollow">Introduction to PyTorch</a></td> 
   <td>@guobaoyo</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fnlp_deep_learning_tutorial.md" rel="nofollow">Deep Learning with PyTorch</a></td> 
   <td>@bdqfork</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fnlp_word_embeddings_tutorial.md" rel="nofollow">Word Embeddings: Encoding Lexical Semantics</a></td> 
   <td>@sight007</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fnlp_sequence_models_tutorial.md" rel="nofollow">Sequence Models and Long-Short Term Memory Networks</a></td> 
   <td>@ETCartman</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fnlp_advanced_tutorial.md" rel="nofollow">Advanced: Making Dynamic Decisions and the Bi-LSTM CRF</a></td> 
   <td>@JohnJiangLA</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fseq2seq_translation_tutorial.md" rel="nofollow">Translation with a Sequence to Sequence Network and Attention</a></td> 
   <td>@mengfu188</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fdcgan_faces_tutorial.md" rel="nofollow">DCGAN Tutorial</a></td> 
   <td>@wangshuai9517</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Freinforcement_q_learning.md" rel="nofollow">Reinforcement Learning (DQN) Tutorial</a></td> 
   <td>@BreezeHavana</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fnumpy_extensions_tutorial.md" rel="nofollow">Creating Extensions Using numpy and scipy</a></td> 
   <td>@cangyunye</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fcpp_extension.md" rel="nofollow">Custom C++ and CUDA Extensions</a></td> 
   <td>@Lotayou</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Ftorch_script_custom_ops.md" rel="nofollow">Extending TorchScript with Custom C++ Operators</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fdist_tuto.md" rel="nofollow">Writing Distributed Applications with PyTorch</a></td> 
   <td>@firdameng</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Faws_distributed_training_tutorial.md" rel="nofollow">PyTorch 1.0 Distributed Trainer with Amazon AWS</a></td> 
   <td>@yportne13</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2FONNXLive.md" rel="nofollow">ONNX Live Tutorial</a></td> 
   <td>@PEGASUS1993</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fcpp_export.md" rel="nofollow">Loading a PyTorch Model in C++</a></td> 
   <td>@talengu</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fcpp_frontend.md" rel="nofollow">Using the PyTorch C++ Frontend</a></td> 
   <td>@solerji</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>文档部分</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fnotes_autograd.md" rel="nofollow">Autograd mechanics</a></td> 
   <td>@PEGASUS1993</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fnotes_broadcasting.md" rel="nofollow">Broadcasting semantics</a></td> 
   <td>@PEGASUS1993</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fnotes_cuda.md" rel="nofollow">CUDA semantics</a></td> 
   <td>@jiangzhonglian</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fnotes_extending.md" rel="nofollow">Extending PyTorch</a></td> 
   <td>@PEGASUS1993</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fnotes_faq.md" rel="nofollow">Frequently Asked Questions</a></td> 
   <td>@PEGASUS1993</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fnotes_multiprocessing.md" rel="nofollow">Multiprocessing best practices</a></td> 
   <td>@cvley</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fnotes_randomness.md" rel="nofollow">Reproducibility</a></td> 
   <td>@WyattHuang1</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fnotes_serialization.md" rel="nofollow">Serialization semantics</a></td> 
   <td>@yuange250</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fnotes_windows.md" rel="nofollow">Windows FAQ</a></td> 
   <td>@PEGASUS1993</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Ftorch.md" rel="nofollow">torch</a></td> 
   <td>@ZHHAYO</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Ftensors.md" rel="nofollow">torch.Tensor</a></td> 
   <td>@hijkzzz</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Ftensor_attributes.md" rel="nofollow">Tensor Attributes</a></td> 
   <td>@yuange250</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Ftype_info.md" rel="nofollow">Type Info</a></td> 
   <td>@PEGASUS1993</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fsparse.md" rel="nofollow">torch.sparse</a></td> 
   <td>@hijkzzz</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fcuda.md" rel="nofollow">torch.cuda</a></td> 
   <td>@bdqfork</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fstorage.md" rel="nofollow">torch.Storage</a></td> 
   <td>@yuange250</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fnn.md" rel="nofollow">torch.nn</a></td> 
   <td>@yuange250</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fnn_functional.md" rel="nofollow">torch.nn.functional</a></td> 
   <td>@hijkzzz</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fnn_init.md" rel="nofollow">torch.nn.init</a></td> 
   <td>@GeneZC</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Foptim.md" rel="nofollow">torch.optim</a></td> 
   <td>@qiaokuoyuan</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fautograd.md" rel="nofollow">Automatic differentiation package - torch.autograd</a></td> 
   <td>@gfjiangly</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fdistributed.md" rel="nofollow">Distributed communication package - torch.distributed</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fdistributions.md" rel="nofollow">Probability distributions - torch.distributions</a></td> 
   <td>@hijkzzz</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fjit.md" rel="nofollow">Torch Script</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fmultiprocessing.md" rel="nofollow">Multiprocessing package - torch.multiprocessing</a></td> 
   <td>@hijkzzz</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fbottleneck.md" rel="nofollow">torch.utils.bottleneck</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fcheckpoint.md" rel="nofollow">torch.utils.checkpoint</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fdocs_cpp_extension.md" rel="nofollow">torch.utils.cpp_extension</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fdata.md" rel="nofollow">torch.utils.data</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fdlpack.md" rel="nofollow">torch.utils.dlpack</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fhub.md" rel="nofollow">torch.hub</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fmodel_zoo.md" rel="nofollow">torch.utils.model_zoo</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fonnx.md" rel="nofollow">torch.onnx</a></td> 
   <td>@guobaoyo</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fdistributed_deprecated.md" rel="nofollow">Distributed communication package (deprecated) - torch.distributed.deprecated</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Fdocs_torchvision_ref.md" rel="nofollow">torchvision Reference</a></td> 
   <td>@BXuan694</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Ftorchvision_datasets.md" rel="nofollow">torchvision.datasets</a></td> 
   <td>@BXuan694</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Ftorchvision_models.md" rel="nofollow">torchvision.models</a></td> 
   <td>@BXuan694</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Ftorchvision_transforms.md" rel="nofollow">torchvision.transforms</a></td> 
   <td>@BXuan694</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fpytorch-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.0%2Ftorchvision_utils.md" rel="nofollow">torchvision.utils</a></td> 
   <td>@BXuan694</td> 
   <td></td> 
  </tr> 
 </tbody> 
</table>

## HBase 3.0 中文参考指南 ##

认领：2/31，翻译：0/31

参与方式：[github.com/apachecn/hb…][github.com_apachecn_hb]

整体进度：[github.com/apachecn/hb…][github.com_apachecn_hb 1]

项目仓库：[github.com/apachecn/hb…][github.com_apachecn_hb 2]

<table> 
 <thead> 
  <tr> 
   <th>章节</th> 
   <th>译者</th> 
   <th>进度</th> 
  </tr> 
 </thead> 
 <tbody> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F0.md" rel="nofollow">Preface</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F1.md" rel="nofollow">Getting Started</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F2.md" rel="nofollow">Apache HBase Configuration</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F3.md" rel="nofollow">Upgrading</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F4.md" rel="nofollow">The Apache HBase Shell</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F5.md" rel="nofollow">Data Model</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F6.md" rel="nofollow">HBase and Schema Design</a></td> 
   <td>@RaymondCode</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F7.md" rel="nofollow">RegionServer Sizing Rules of Thumb</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F8.md" rel="nofollow">HBase and MapReduce</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F9.md" rel="nofollow">Securing Apache HBase</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F10.md" rel="nofollow">Architecture</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F11.md" rel="nofollow">In-memory Compaction</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F12.md" rel="nofollow">Backup and Restore</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F13.md" rel="nofollow">Synchronous Replication</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F14.md" rel="nofollow">Apache HBase APIs</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F15.md" rel="nofollow">Apache HBase External APIs</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F16.md" rel="nofollow">Thrift API and Filter Language</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F17.md" rel="nofollow">HBase and Spark</a></td> 
   <td>@TsingJyujing</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F18.md" rel="nofollow">Apache HBase Coprocessors</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F19.md" rel="nofollow">Apache HBase Performance Tuning</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F20.md" rel="nofollow">Troubleshooting and Debugging Apache HBase</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F21.md" rel="nofollow">Apache HBase Case Studies</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F22.md" rel="nofollow">Apache HBase Operational Management</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F23.md" rel="nofollow">Building and Developing Apache HBase</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F24.md" rel="nofollow">Unit Testing HBase Applications</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F25.md" rel="nofollow">Protobuf in HBase</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F26.md" rel="nofollow">Procedure Framework (Pv2): HBASE-12439</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F27.md" rel="nofollow">AMv2 Description for Devs</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F28.md" rel="nofollow">ZooKeeper</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F29.md" rel="nofollow">Community</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fhbase-doc-zh%2Fblob%2Fmaster%2Fdocs%2F30.md" rel="nofollow">Appendix</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
 </tbody> 
</table>

## Airflow 中文文档 ##

认领：23/30，翻译：23/30。

参与方式：[github.com/apachecn/ai…][github.com_apachecn_ai]

整体进度：[github.com/apachecn/ai…][github.com_apachecn_ai 1]

项目仓库：[github.com/apachecn/ai…][github.com_apachecn_ai 2]

<table> 
 <thead> 
  <tr> 
   <th>章节</th> 
   <th>贡献者</th> 
   <th>进度</th> 
  </tr> 
 </thead> 
 <tbody> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F1.md" rel="nofollow">1 项目</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F2.md" rel="nofollow">2 协议</a></td> 
   <td>-</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F3.md" rel="nofollow">3 快速开始</a></td> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Ftssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F4.md" rel="nofollow">4 安装</a></td> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fcdmikechen" rel="nofollow">@Thinking Chen</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F5.md" rel="nofollow">5 教程</a></td> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Ftssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F6.md" rel="nofollow">6 操作指南</a></td> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Ftssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F7.md" rel="nofollow">7 设置配置选项</a></td> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Ftssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F8.md" rel="nofollow">8 初始化数据库后端</a></td> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Ftssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F9.md" rel="nofollow">9 使用操作器</a></td> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Ftssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F10.md" rel="nofollow">10 管理连接</a></td> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Ftssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F11.md" rel="nofollow">11 保护连接</a></td> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Ftssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F12.md" rel="nofollow">12 写日志</a></td> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Ftssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F13.md" rel="nofollow">13 使用Celery扩大规模</a></td> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Ftssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F14.md" rel="nofollow">14 使用Dask扩展</a></td> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Ftssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F15.md" rel="nofollow">15 使用Mesos扩展（社区贡献）</a></td> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Ftssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F16.md" rel="nofollow">16 使用systemd运行Airflow</a></td> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Ftssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F17.md" rel="nofollow">17 使用upstart运行Airflow</a></td> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Ftssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F18.md" rel="nofollow">18 使用测试模式配置</a></td> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Ftssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F19.md" rel="nofollow">19 UI /截图</a></td> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Ftssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F20.md" rel="nofollow">20 概念</a></td> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Ftssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F21.md" rel="nofollow">21 数据分析</a></td> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Ftssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F22.md" rel="nofollow">22 命令行接口</a></td> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Ftssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F23.md" rel="nofollow">23 调度和触发器</a></td> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fecho-ray" rel="nofollow">@Ray</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F24.md" rel="nofollow">24 插件</a></td> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Ftssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F25.md" rel="nofollow">25 安全</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F26.md" rel="nofollow">26 时区</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F27.md" rel="nofollow">27 实验性 Rest API</a></td> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Ftssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F28.md" rel="nofollow">28 集成</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F29.md" rel="nofollow">29 Lineage</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F30.md" rel="nofollow">30 常见问题</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://link.juejin.im?target=https%3A%2F%2Fgithub.com%2Fapachecn%2Fairflow-doc-zh%2Ftree%2Fmaster%2Fzh%2F31.md" rel="nofollow">31 API 参考</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
 </tbody> 
</table>

## UCB CS61b Java 中的数据结构 ##

认领：0/12，翻译：0/12

参与方式：[github.com/apachecn/cs…][github.com_apachecn_cs]

整体进度：[github.com/apachecn/cs…][github.com_apachecn_cs 1]

项目仓库：[github.com/apachecn/cs…][github.com_apachecn_cs 2]

<table> 
 <thead> 
  <tr> 
   <th>标题</th> 
   <th>译者</th> 
   <th>进度</th> 
  </tr> 
 </thead> 
 <tbody> 
  <tr> 
   <td>一、算法复杂度</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>二、抽象数据类型</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>三、满足规范</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>四、序列和它们的实现</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>五、树</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>六、搜索树</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>七、哈希</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>八、排序和选择</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>九、平衡搜索</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>十、并发和同步</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>十一、伪随机序列</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>十二、图</td> 
   <td></td> 
   <td></td> 
  </tr> 
 </tbody> 
</table>

## UCB Prob140 面向数据科学的概率论 ##

认领：23/25，翻译：17/25

参与方式：[github.com/apachecn/pr…][github.com_apachecn_pr]

整体进度：[github.com/apachecn/pr…][github.com_apachecn_pr 1]

项目仓库：[github.com/apachecn/pr…][github.com_apachecn_pr 2]

<table> 
 <thead> 
  <tr> 
   <th>标题</th> 
   <th>译者</th> 
   <th>翻译进度</th> 
  </tr> 
 </thead> 
 <tbody> 
  <tr> 
   <td>一、基础</td> 
   <td>飞龙</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>二、计算几率</td> 
   <td>飞龙</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>三、随机变量</td> 
   <td>飞龙</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>四、事件之间的关系</td> 
   <td>@biubiubiuboomboomboom</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>五、事件集合</td> 
   <td>@PEGASUS1993</td> 
   <td>&gt;0%</td> 
  </tr> 
  <tr> 
   <td>六、随机计数</td> 
   <td>@viviwong</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>七、泊松化</td> 
   <td>@YAOYI626</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>八、期望</td> 
   <td>@PEGASUS1993</td> 
   <td>50%</td> 
  </tr> 
  <tr> 
   <td>九、条件（续）</td> 
   <td>@YAOYI626</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>十、马尔科夫链</td> 
   <td>喵十八</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>十一、马尔科夫链（续）</td> 
   <td>喵十八</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>十二、标准差</td> 
   <td>缺只萨摩</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>十三、方差和协方差</td> 
   <td>缺只萨摩</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>十四、中心极限定理</td> 
   <td>喵十八</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>十五、连续分布</td> 
   <td>@ThunderboltSmile</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>十六、变换</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>十七、联合密度</td> 
   <td>@Winchester-Yi</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>十八、正态和 Gamma 族</td> 
   <td>@Winchester-Yi</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>十九、和的分布</td> 
   <td>平淡的天</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>二十、估计方法</td> 
   <td>平淡的天</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>二十一、Beta 和二项</td> 
   <td>@lvzhetx</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>二十二、预测</td> 
   <td>@lvzhetx</td> 
   <td>50%</td> 
  </tr> 
  <tr> 
   <td>二十三、联合正态随机变量</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>二十四、简单线性回归</td> 
   <td>@ThomasCai</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>二十五、多元回归</td> 
   <td>@lanhaixuan</td> 
   <td>100%</td> 
  </tr> 
 </tbody> 
</table>

## 翻译征集 ##

要求：

*  机器学习/数据科学相关
 *  或者编程相关
 *  原文必须在互联网上开放
 *  不能只提供 PDF 格式（我们实在不想把精力都花在排版上）
 *  **请先搜索有没有人翻译过**

[请回复本文][Link 4]。

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