ApacheCN 翻译活动进度公告 2019.3.3

谁践踏了优雅 2022-03-15 14:40 141阅读 0赞

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## PyTorch 1.0 中文文档 ##

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]

教程部分：认领：37/37，翻译：29/37；文档部分：认领：36/39，翻译：26/39

<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://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> 
  </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> 
  </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> 
  </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> 
  </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> 
  </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> 
  </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> 
  </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> 
  </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> 
  </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> 
  </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>@sfyumi</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> 
  </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> 
  </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> 
  </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> 
  </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> 
  </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> 
  </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> 
  </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> 
  </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> 
  </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>@BreezeHavana</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> 
  </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> 
  </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> 
  </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> 
  </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> 
  </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> 
  </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></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>@BreezeHavana</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> 
  </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>@Lotayou</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>@cloudyyyyy</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></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> 
  </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> 
  </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> 
  </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> 
  </tr> 
  <tr> 
   <td>文档部分</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> 
  </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> 
  </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> 
  </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></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> 
  </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> 
  </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> 
  </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> 
  </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> 
  </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>@ZHHAYO</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> 
  </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> 
  </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> 
  </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> 
  </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> 
  </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> 
  </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></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> 
  </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> 
  </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> 
  </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></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></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></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></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> 
  </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> 
  </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> 
  </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> 
  </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></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></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></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> 
  </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> 
  </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></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> 
  </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> 
  </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> 
  </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> 
  </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> 
  </tr> 
 </tbody> 
</table>

## HBase 3.0 中文参考指南 ##

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

整体进度：[https://github.com/apachecn/hbase-doc-zh/issues/1][https_github.com_apachecn_hbase-doc-zh_issues_1]

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

认领：10/31，翻译：5/31

<table> 
 <thead> 
  <tr> 
   <th>章节</th> 
   <th>译者</th> 
   <th>进度</th> 
  </tr> 
 </thead> 
 <tbody> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/0.md" rel="nofollow">Preface</a></td> 
   <td>@xixici</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/1.md" rel="nofollow">Getting Started</a></td> 
   <td>@xixici</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/2.md" rel="nofollow">Apache HBase Configuration</a></td> 
   <td>@xixici</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/3.md" rel="nofollow">Upgrading</a></td> 
   <td>@xixici</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/4.md" rel="nofollow">The Apache HBase Shell</a></td> 
   <td>@xixici</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/5.md" rel="nofollow">Data Model</a></td> 
   <td>@Winchester-Yi</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/6.md" rel="nofollow">HBase and Schema Design</a></td> 
   <td>@RaymondCode</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/7.md" rel="nofollow">RegionServer Sizing Rules of Thumb</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/8.md" rel="nofollow">HBase and MapReduce</a></td> 
   <td>@BridgetLai</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/9.md" rel="nofollow">Securing Apache HBase</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/10.md" rel="nofollow">Architecture</a></td> 
   <td>@RaymondCode</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/11.md" rel="nofollow">In-memory Compaction</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/12.md" rel="nofollow">Backup and Restore</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/13.md" rel="nofollow">Synchronous Replication</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/14.md" rel="nofollow">Apache HBase APIs</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/15.md" rel="nofollow">Apache HBase External APIs</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/16.md" rel="nofollow">Thrift API and Filter Language</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/17.md" rel="nofollow">HBase and Spark</a></td> 
   <td>@TsingJyujing</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/18.md" rel="nofollow">Apache HBase Coprocessors</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/19.md" rel="nofollow">Apache HBase Performance Tuning</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/20.md" rel="nofollow">Troubleshooting and Debugging Apache HBase</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/21.md" rel="nofollow">Apache HBase Case Studies</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/22.md" rel="nofollow">Apache HBase Operational Management</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/23.md" rel="nofollow">Building and Developing Apache HBase</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/24.md" rel="nofollow">Unit Testing HBase Applications</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/25.md" rel="nofollow">Protobuf in HBase</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/26.md" rel="nofollow">Procedure Framework (Pv2): HBASE-12439</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/27.md" rel="nofollow">AMv2 Description for Devs</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/28.md" rel="nofollow">ZooKeeper</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/29.md" rel="nofollow">Community</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/30.md" rel="nofollow">Appendix</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
 </tbody> 
</table>

## AirFlow 中文文档 ##

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

整体进度：[https://github.com/apachecn/airflow-doc-zh/issues/1][https_github.com_apachecn_airflow-doc-zh_issues_1]

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

认领：25/30，翻译：24/30。

<table> 
 <thead> 
  <tr> 
   <th>章节</th> 
   <th>贡献者</th> 
   <th>进度</th> 
  </tr> 
 </thead> 
 <tbody> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/1.md" rel="nofollow">1 项目</a></td> 
   <td>@zhongjiajie</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/2.md" rel="nofollow">2 协议</a></td> 
   <td>-</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/3.md" rel="nofollow">3 快速开始</a></td> 
   <td><a href="https://github.com/tssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/4.md" rel="nofollow">4 安装</a></td> 
   <td><a href="https://github.com/cdmikechen" rel="nofollow">@Thinking Chen</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/5.md" rel="nofollow">5 教程</a></td> 
   <td><a href="https://github.com/tssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/6.md" rel="nofollow">6 操作指南</a></td> 
   <td><a href="https://github.com/tssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/7.md" rel="nofollow">7 设置配置选项</a></td> 
   <td><a href="https://github.com/tssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/8.md" rel="nofollow">8 初始化数据库后端</a></td> 
   <td><a href="https://github.com/tssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/9.md" rel="nofollow">9 使用操作器</a></td> 
   <td><a href="https://github.com/tssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/10.md" rel="nofollow">10 管理连接</a></td> 
   <td><a href="https://github.com/tssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/11.md" rel="nofollow">11 保护连接</a></td> 
   <td><a href="https://github.com/tssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/12.md" rel="nofollow">12 写日志</a></td> 
   <td><a href="https://github.com/tssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/13.md" rel="nofollow">13 使用Celery扩大规模</a></td> 
   <td><a href="https://github.com/tssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/14.md" rel="nofollow">14 使用Dask扩展</a></td> 
   <td><a href="https://github.com/tssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/15.md" rel="nofollow">15 使用Mesos扩展（社区贡献）</a></td> 
   <td><a href="https://github.com/tssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/16.md" rel="nofollow">16 使用systemd运行Airflow</a></td> 
   <td><a href="https://github.com/tssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/17.md" rel="nofollow">17 使用upstart运行Airflow</a></td> 
   <td><a href="https://github.com/tssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/18.md" rel="nofollow">18 使用测试模式配置</a></td> 
   <td><a href="https://github.com/tssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/19.md" rel="nofollow">19 UI /截图</a></td> 
   <td><a href="https://github.com/tssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/20.md" rel="nofollow">20 概念</a></td> 
   <td><a href="https://github.com/tssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/21.md" rel="nofollow">21 数据分析</a></td> 
   <td><a href="https://github.com/tssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/22.md" rel="nofollow">22 命令行接口</a></td> 
   <td><a href="https://github.com/tssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/23.md" rel="nofollow">23 调度和触发器</a></td> 
   <td><a href="https://github.com/echo-ray" rel="nofollow">@Ray</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/24.md" rel="nofollow">24 插件</a></td> 
   <td><a href="https://github.com/tssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/25.md" rel="nofollow">25 安全</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/26.md" rel="nofollow">26 时区</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/27.md" rel="nofollow">27 实验性 Rest API</a></td> 
   <td><a href="https://github.com/tssujt" rel="nofollow">@ImPerat0R_</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/28.md" rel="nofollow">28 集成</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/29.md" rel="nofollow">29 Lineage</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/30.md" rel="nofollow">30 常见问题</a></td> 
   <td>@zhongjiajie</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/airflow-doc-zh/tree/master/zh/31.md" rel="nofollow">31 API 参考</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
 </tbody> 
</table>

## OpenCV 4.0 中文文档 ##

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

整体进度：[https://github.com/apachecn/opencv-doc-zh/issues/1][https_github.com_apachecn_opencv-doc-zh_issues_1]

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

认领：44/51，翻译：10/51。

<table> 
 <thead> 
  <tr> 
   <th>章节</th> 
   <th>贡献者</th> 
   <th>进度</th> 
  </tr> 
 </thead> 
 <tbody> 
  <tr> 
   <td>1. 简介</td> 
   <td>@wstone0011</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/d0/de3/tutorial_py_intro.html" rel="nofollow">1.1 OpenCV-Python教程简介</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/d2/de6/tutorial_py_setup_in_ubuntu.html" rel="nofollow">1.2 安装OpenCV—Python</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>2. GUI功能</td> 
   <td>@ranxx</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/dc/d2e/tutorial_py_image_display.html" rel="nofollow">2.1 图像入门</a></td> 
   <td>-</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/dd/d43/tutorial_py_video_display.html" rel="nofollow">2.2 视频入门</a></td> 
   <td>-</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/dc/da5/tutorial_py_drawing_functions.html" rel="nofollow">2.3 绘图功能</a></td> 
   <td>-</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/db/d5b/tutorial_py_mouse_handling.html" rel="nofollow">2.4 鼠标作为画笔</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/d9/dc8/tutorial_py_trackbar.html" rel="nofollow">2.5 作为调色板的跟踪栏</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>3. 核心操作</td> 
   <td>@luxinfeng</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/d3/df2/tutorial_py_basic_ops.html" rel="nofollow">3.1 图像基本操作</a></td> 
   <td>-</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/d0/d86/tutorial_py_image_arithmetics.html" rel="nofollow">3.2 图像的算术运算</a></td> 
   <td>-</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/dc/d71/tutorial_py_optimization.html" rel="nofollow">3.3 性能测量和改进技术</a></td> 
   <td>-</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>4. 图像处理</td> 
   <td>@friedhelm739</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/df/d9d/tutorial_py_colorspaces.html" rel="nofollow">4.1 更改颜色空间</a></td> 
   <td>-</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/da/d6e/tutorial_py_geometric_transformations.html" rel="nofollow">4.2 图像的几何变换</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/d7/d4d/tutorial_py_thresholding.html" rel="nofollow">4.3 图像阈值</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/d4/d13/tutorial_py_filtering.html" rel="nofollow">4.4 平滑图像</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/d9/d61/tutorial_py_morphological_ops.html" rel="nofollow">4.5 形态转换</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/d5/d0f/tutorial_py_gradients.html" rel="nofollow">4.6 图像梯度</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/da/d22/tutorial_py_canny.html" rel="nofollow">4.7 Canny边缘检测</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/dc/dff/tutorial_py_pyramids.html" rel="nofollow">4.8 影像金字塔</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/d3/d05/tutorial_py_table_of_contents_contours.html" rel="nofollow">4.9 轮廓</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/de/db2/tutorial_py_table_of_contents_histograms.html" rel="nofollow">4.10 直方图</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/dd/dc4/tutorial_py_table_of_contents_transforms.html" rel="nofollow">4.11 图像转换</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/d4/dc6/tutorial_py_template_matching.html" rel="nofollow">4.12 模板匹配</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/d6/d10/tutorial_py_houghlines.html" rel="nofollow">4.13 霍夫线变换</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/da/d53/tutorial_py_houghcircles.html" rel="nofollow">4.14 霍夫圆变换</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/d3/db4/tutorial_py_watershed.html" rel="nofollow">4.15 基于分水岭算法的图像分割</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/d8/d83/tutorial_py_grabcut.html" rel="nofollow">基于GrabCut算法的交互式前景提取</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>5. 特征检测和描述</td> 
   <td>@3lackrush</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/df/d54/tutorial_py_features_meaning.html" rel="nofollow">5.1 了解功能</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/dc/d0d/tutorial_py_features_harris.html" rel="nofollow">5.2 Harris角点检测</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/d4/d8c/tutorial_py_shi_tomasi.html" rel="nofollow">5.3 Shi-Tomasi角点检测和追踪的良好特征</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/da/df5/tutorial_py_sift_intro.html" rel="nofollow">5.4 SIFT简介（尺度不变特征变换）</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/df/dd2/tutorial_py_surf_intro.html" rel="nofollow">5.5 SURF简介（加速鲁棒特性）</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/df/d0c/tutorial_py_fast.html" rel="nofollow">5.6 角点检测的FAST算法</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/dc/d7d/tutorial_py_brief.html" rel="nofollow">5.7 简介（二进制鲁棒独立基本特征）</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/d1/d89/tutorial_py_orb.html" rel="nofollow">5.8 ORB（定向快速和快速旋转）</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/dc/dc3/tutorial_py_matcher.html" rel="nofollow">5.9 特征匹配</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/d1/de0/tutorial_py_feature_homography.html" rel="nofollow">5.10 特征匹配+ Homography查找对象</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>6. 视频分析</td> 
   <td>@xmmmmmovo</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/db/df8/tutorial_py_meanshift.html" rel="nofollow">6.1 Meanshift和Camshift</a></td> 
   <td>-</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/d7/d8b/tutorial_py_lucas_kanade.html" rel="nofollow">6.2 光流</a></td> 
   <td>-</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/db/d5c/tutorial_py_bg_subtraction.html" rel="nofollow">6.3 背景减法</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>7. 相机校准和3D重建</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/dc/dbb/tutorial_py_calibration.html" rel="nofollow">7.1 相机校准</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/d7/d53/tutorial_py_pose.html" rel="nofollow">7.2 姿势估计</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/da/de9/tutorial_py_epipolar_geometry.html" rel="nofollow">7.3 极线几何</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/dd/d53/tutorial_py_depthmap.html" rel="nofollow">7.4 立体图像的深度图</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>8. 机器学习</td> 
   <td>@wstone0011</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/d0/d72/tutorial_py_knn_index.html" rel="nofollow">8.1 K-最近邻</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/d3/d02/tutorial_py_svm_index.html" rel="nofollow">8.2 支持向量机（SVM）</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/d9/d70/tutorial_py_kmeans_index.html" rel="nofollow">8.3 K-Means聚类</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>9. 计算摄影</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/d5/d69/tutorial_py_non_local_means.html" rel="nofollow">9.1 图像去噪</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/df/d3d/tutorial_py_inpainting.html" rel="nofollow">9.2 图像修复</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/d2/df0/tutorial_py_hdr.html" rel="nofollow">9.3 高动态范围（HDR）</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>10. 目标检测</td> 
   <td>@jiangzhonglian</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/d7/d8b/tutorial_py_face_detection.html" rel="nofollow">10.1 使用Haar Cascades进行人脸检测</a></td> 
   <td>-</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>11. OpenCV-Python绑定</td> 
   <td>@daidai21</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.opencv.org/4.0.0/da/d49/tutorial_py_bindings_basics.html" rel="nofollow">11.1 OpenCV-Python绑定如何工作？</a></td> 
   <td>-</td> 
   <td></td> 
  </tr> 
 </tbody> 
</table>

## UCB CS61b：Java 中的数据结构 ##

参与方式：[https://github.com/apachecn/cs61b-textbook-zh/blob/master/CONTRIBUTING.md][https_github.com_apachecn_cs61b-textbook-zh_blob_master_CONTRIBUTING.md]

整体进度：[https://github.com/apachecn/cs61b-textbook-zh/issues/1][https_github.com_apachecn_cs61b-textbook-zh_issues_1]

项目仓库：[https://github.com/apachecn/cs61b-textbook-zh][https_github.com_apachecn_cs61b-textbook-zh]

认领：2/12，翻译：0/12。

<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>@leader402</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>二、抽象数据类型</td> 
   <td>@Allenyep</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 ##

参与方式：[https://github.com/apachecn/prob140-textbook-zh/blob/master/CONTRIBUTING.md][https_github.com_apachecn_prob140-textbook-zh_blob_master_CONTRIBUTING.md]

整体进度：[https://github.com/apachecn/prob140-textbook-zh/issues/2][https_github.com_apachecn_prob140-textbook-zh_issues_2]

项目仓库：[https://github.com/apachecn/prob140-textbook-zh][https_github.com_apachecn_prob140-textbook-zh]

认领：24/25，翻译：19/25。

<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>@JUNE951234</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**

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