ApacheCN 活动汇总 2019.7.5

古城微笑少年丶 2021-12-17 03:29 328阅读 0赞

## 公告 ##

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3.  请回复[这个帖子][Link 2]来推荐希望翻译的内容。如果大家遇到了做得不错的教程或翻译项目，也可以推荐给我们。我们会联系项目的维护者，一起把它变得更好。
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5.  为了能够将开源事业做大做强，[ApacheCN 需要与公益基金会（IT、教育类）合作][ApacheCN _IT]，欢迎大家提供帮助。[同时我们也接受社会各界的捐助][Link 4]。
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## 组织任务 ##

![20190705-1.png][]

![20190705-2.png][]

认领须知：

1.  请私聊片刻（529815144）、咸鱼（1034616238）、或飞龙（562826179）来认领任务，我们会把你拉进合伙人群。
2.  除了列出的翻译项目之外，**现有**翻译项目不接受新的负责人。如果你打算贡献，请直接提交Pull Request。
3.  如果你的想法没有列出（包括但不仅限于翻译项目），同样欢迎私聊我们。

## 翻译校对活动 ##

### 百页机器学习小书 ###

参与方式：https://github.com/apachecn/ml-book-100-zh/blob/master/CONTRIBUTING.md

整体进度：https://github.com/apachecn/ml-book-100-zh/issues/1

项目仓库：https://github.com/apachecn/ml-book-100-zh

认领：7/12，翻译：1/12

<table> 
 <thead> 
  <tr> 
   <th>章节</th> 
   <th>贡献者</th> 
   <th>进度</th> 
  </tr> 
 </thead> 
 <tbody> 
  <tr> 
   <td>零、前言</td> 
   <td>@PEGASUS1993</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>一、介绍</td> 
   <td>@PEGASUS1993</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>二、符号和定义</td> 
   <td>@PEGASUS1993</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>三、基本算法</td> 
   <td>@Rachel-Hu</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>四、线性算法剖析</td> 
   <td>@P3n9W31</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>五、基本实践</td> 
   <td>@chengchengbai</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>六、神经网络和深度学习</td> 
   <td>@Everfighting</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>七、问题和答案</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>八、高级实践</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>九、无监督学习</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>十、其它学习形式</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>十一、总结</td> 
   <td></td> 
   <td></td> 
  </tr> 
 </tbody> 
</table>

### 短篇集（校对） ###

参与方式：https://github.com/apachecn/misc-docs-zh/blob/master/CONTRIBUTING.md

整体进度：https://github.com/apachecn/misc-docs-zh/issues/1

项目仓库：https://github.com/apachecn/misc-docs-zh

关于卷积神经网络：认领：2/12，校对：2/12

<table> 
 <thead> 
  <tr> 
   <th>章节</th> 
   <th>贡献者</th> 
   <th>进度</th> 
  </tr> 
 </thead> 
 <tbody> 
  <tr> 
   <td>关于卷积神经网络</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/misc-docs-zh/blob/master/docs/what-do-we-understand-about-convnet/1.md" rel="nofollow">1</a></td> 
   <td>@daewis</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/misc-docs-zh/blob/master/docs/what-do-we-understand-about-convnet/2.1.1-2.1.3.md" rel="nofollow">2.1.1-2.1.3</a></td> 
   <td>@daewis</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/misc-docs-zh/blob/master/docs/what-do-we-understand-about-convnet/2.1.4-2.1.6.md" rel="nofollow">2.1.4-2.1.6</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/misc-docs-zh/blob/master/docs/what-do-we-understand-about-convnet/2.2.1.md" rel="nofollow">2.2.1</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/misc-docs-zh/blob/master/docs/what-do-we-understand-about-convnet/2.2.2-2.2.3.md" rel="nofollow">2.2.2-2.2.3</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/misc-docs-zh/blob/master/docs/what-do-we-understand-about-convnet/2.3-2.4.md" rel="nofollow">2.3-2.4</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/misc-docs-zh/blob/master/docs/what-do-we-understand-about-convnet/3.1.md" rel="nofollow">3.1</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/misc-docs-zh/blob/master/docs/what-do-we-understand-about-convnet/3.2.md" rel="nofollow">3.2</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/misc-docs-zh/blob/master/docs/what-do-we-understand-about-convnet/3.3.md" rel="nofollow">3.3</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/misc-docs-zh/blob/master/docs/what-do-we-understand-about-convnet/3.4-3.5.md" rel="nofollow">3.4-3.5</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/misc-docs-zh/blob/master/docs/what-do-we-understand-about-convnet/4.1.md" rel="nofollow">4.1</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/misc-docs-zh/blob/master/docs/what-do-we-understand-about-convnet/4.2.md" rel="nofollow">4.2</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
 </tbody> 
</table>

### 写给不耐烦程序员的 JavaScript（校对） ###

参与方式：https://github.com/apachecn/impatient-js-zh/blob/master/CONTRIBUTING.md

整体进度：https://github.com/apachecn/impatient-js-zh/issues/1

项目仓库：https://github.com/apachecn/impatient-js-zh

认领：30/42，校对：28/42

<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/impatient-js-zh/tree/master/docs/2.md" rel="nofollow">1.关于本书（ES2019 版）</a></td> 
   <td><a href="https://github.com/YouWillBe" rel="nofollow">@YouWillBe</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/3.md" rel="nofollow">2.常见问题：本书</a></td> 
   <td><a href="https://github.com/huangzijian888" rel="nofollow">@huangzijian888</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/4.md" rel="nofollow">3. JavaScript 的历史和演变</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/5.md" rel="nofollow">4.常见问题：JavaScript</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/7.md" rel="nofollow">5.概览</a></td> 
   <td><a href="https://github.com/kj415j45" rel="nofollow">@kj415j45</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/8.md" rel="nofollow">6.语法</a></td> 
   <td><a href="https://github.com/lq920320" rel="nofollow">@lq920320</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/9.md" rel="nofollow">7.在控制台上打印信息（<code>console.*</code>）</a></td> 
   <td><a href="https://github.com/lq920320" rel="nofollow">@lq920320</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/10.md" rel="nofollow">8.断言 API</a></td> 
   <td><a href="https://github.com/lq920320" rel="nofollow">@lq920320</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/11.md" rel="nofollow">9.测验和练习入门</a></td> 
   <td><a href="https://github.com/so-hard" rel="nofollow">@so-hard</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/13.md" rel="nofollow">10.变量和赋值</a></td> 
   <td><a href="https://github.com/so-hard" rel="nofollow">@so-hard</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/14.md" rel="nofollow">11.值</a></td> 
   <td><a href="https://github.com/lq920320" rel="nofollow">@lq920320</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/15.md" rel="nofollow">12.运算符</a></td> 
   <td><a href="https://github.com/wizardforcel" rel="nofollow">@wizardforcel</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/17.md" rel="nofollow">13.非值<code>undefined</code>和<code>null</code></a></td> 
   <td><a href="https://github.com/wizardforcel" rel="nofollow">@wizardforcel</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/18.md" rel="nofollow">14.布尔值</a></td> 
   <td><a href="https://github.com/wizardforcel" rel="nofollow">@wizardforcel</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/19.md" rel="nofollow">15.数字</a></td> 
   <td><a href="https://github.com/wizardforcel" rel="nofollow">@wizardforcel</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/20.md" rel="nofollow">16.&nbsp;<code>Math</code></a></td> 
   <td><a href="https://github.com/wizardforcel" rel="nofollow">@wizardforcel</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/21.md" rel="nofollow">17. Unicode - 简要介绍（高级）</a></td> 
   <td><a href="https://github.com/wizardforcel" rel="nofollow">@wizardforcel</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/22.md" rel="nofollow">18.字符串</a></td> 
   <td><a href="https://github.com/wizardforcel" rel="nofollow">@wizardforcel</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/23.md" rel="nofollow">19.使用模板字面值和标记模板</a></td> 
   <td><a href="https://github.com/wizardforcel" rel="nofollow">@wizardforcel</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/24.md" rel="nofollow">20.符号</a></td> 
   <td><a href="https://github.com/wizardforcel" rel="nofollow">@wizardforcel</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/26.md" rel="nofollow">21.控制流语句</a></td> 
   <td><a href="https://github.com/wizardforcel" rel="nofollow">@wizardforcel</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/27.md" rel="nofollow">22.异常处理</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/28.md" rel="nofollow">23.可调用值</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/30.md" rel="nofollow">24.模块</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/31.md" rel="nofollow">25.单个对象</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/32.md" rel="nofollow">26.原型链和类</a></td> 
   <td><a href="https://github.com/lq920320" rel="nofollow">@lq920320</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/34.md" rel="nofollow">27.同步迭代</a></td> 
   <td><a href="https://github.com/lq920320" rel="nofollow">@lq920320</a></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/35.md" rel="nofollow">28.数组（<code>Array</code>）</a></td> 
   <td><a href="https://github.com/52admln" rel="nofollow">@52admln</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/36.md" rel="nofollow">29.类型化数组：处理二进制数据（高级）</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/37.md" rel="nofollow">30.映射（<code>Map</code>）</a></td> 
   <td><a href="https://github.com/so-hard" rel="nofollow">@so-hard</a></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/38.md" rel="nofollow">31. WeakMaps（<code>WeakMap</code>）</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/39.md" rel="nofollow">32.集（<code>Set</code>）</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/40.md" rel="nofollow">33. WeakSets（<code>WeakSet</code>）</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/41.md" rel="nofollow">34.解构</a></td> 
   <td><a href="https://github.com/Kavelaa" rel="nofollow">@Kavelaa</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/42.md" rel="nofollow">35.同步生成器（高级）</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/44.md" rel="nofollow">36. JavaScript 中的异步编程</a></td> 
   <td><a href="https://github.com/Kavelaa" rel="nofollow">@Kavelaa</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/45.md" rel="nofollow">37.异步编程的 Promise</a></td> 
   <td><a href="https://github.com/iChrisJ" rel="nofollow">@iChrisJ</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/46.md" rel="nofollow">38.异步函数</a></td> 
   <td><a href="https://github.com/iChrisJ" rel="nofollow">@iChrisJ</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/48.md" rel="nofollow">39.正则表达式（<code>RegExp</code>）</a></td> 
   <td><a href="https://github.com/iChrisJ" rel="nofollow">@iChrisJ</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/49.md" rel="nofollow">40.日期（<code>Date</code>）</a></td> 
   <td><a href="https://github.com/facebesidewyj" rel="nofollow">@facebesidewyj</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/50.md" rel="nofollow">41.创建和解析 JSON（<code>JSON</code>）</a></td> 
   <td><a href="https://github.com/xdyushenli" rel="nofollow">@xdyushenli</a></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/51.md" rel="nofollow">42.其余章节在哪里？</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
 </tbody> 
</table>

### seaborn 0.9 中文文档 ###

参与方式：https://github.com/apachecn/seaborn-doc-zh/blob/master/CONTRIBUTING.md

整体进度：https://github.com/apachecn/seaborn-doc-zh/issues/1

项目仓库：https://github.com/apachecn/seaborn-doc-zh

认领：64/74，翻译：47/74

<table> 
 <thead> 
  <tr> 
   <th>序号</th> 
   <th>章节</th> 
   <th>译者</th> 
   <th>进度</th> 
  </tr> 
 </thead> 
 <tbody> 
  <tr> 
   <td>1</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/1.md" rel="nofollow">An introduction to seaborn</a></td> 
   <td>@yiran7324</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>2</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/2.md" rel="nofollow">Installing and getting started</a></td> 
   <td>@neolei</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>3</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/3.md" rel="nofollow">Visualizing statistical relationships</a></td> 
   <td>@JNJYan</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>4</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/4.md" rel="nofollow">Plotting with categorical data</a></td> 
   <td>@hold2010</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>5</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/5.md" rel="nofollow">Visualizing the distribution of a dataset</a></td> 
   <td>@alohahahaha</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>6</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/6.md" rel="nofollow">Visualizing linear relationships</a></td> 
   <td>@friedhelm739</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>7</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/7.md" rel="nofollow">Building structured multi-plot grids</a></td> 
   <td>@keyianpai</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>8</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/8.md" rel="nofollow">Controlling figure aesthetics</a></td> 
   <td>@P3n9W31</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>9</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/9.md" rel="nofollow">Choosing color palettes</a></td> 
   <td>@Modrisco</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>10</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/10.md" rel="nofollow">seaborn.relplot</a></td> 
   <td>@Stuming</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>11</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/11.md" rel="nofollow">seaborn.scatterplot</a></td> 
   <td>@tututwo</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>12</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/12.md" rel="nofollow">seaborn.lineplot</a></td> 
   <td>@tututwo</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>13</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/13.md" rel="nofollow">seaborn.catplot</a></td> 
   <td>@LIJIANcoder97</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>14</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/14.md" rel="nofollow">seaborn.stripplot</a></td> 
   <td>@LIJIANcoder97</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>15</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/15.md" rel="nofollow">seaborn.swarmplot</a></td> 
   <td>@LIJIANcoder97</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>16</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/16.md" rel="nofollow">seaborn.boxplot</a></td> 
   <td>@FindNorthStar</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>17</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/17.md" rel="nofollow">seaborn.violinplot</a></td> 
   <td>@FindNorthStar</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>18</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/18.md" rel="nofollow">seaborn.boxenplot</a></td> 
   <td>@FindNorthStar</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>19</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/19.md" rel="nofollow">seaborn.pointplot</a></td> 
   <td>@FindNorthStar</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>20</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/20.md" rel="nofollow">seaborn.barplot</a></td> 
   <td>@melon-bun</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>21</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/21.md" rel="nofollow">seaborn.countplot</a></td> 
   <td>@Stuming</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>22</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/22.md" rel="nofollow">seaborn.jointplot</a></td> 
   <td>@Stuming</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>23</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/23.md" rel="nofollow">seaborn.pairplot</a></td> 
   <td>@Stuming</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>24</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/24.md" rel="nofollow">seaborn.distplot</a></td> 
   <td>@hyuuo</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>25</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/25.md" rel="nofollow">seaborn.kdeplot</a></td> 
   <td>@hyuuo</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>26</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/26.md" rel="nofollow">seaborn.rugplot</a></td> 
   <td>@P3n9W31</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>27</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/27.md" rel="nofollow">seaborn.lmplot</a></td> 
   <td>@P3n9W31</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>28</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/28.md" rel="nofollow">seaborn.regplot</a></td> 
   <td>@P3n9W31</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>29</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/29.md" rel="nofollow">seaborn.residplot</a></td> 
   <td>@P3n9W31</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>30</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/30.md" rel="nofollow">seaborn.heatmap</a></td> 
   <td>@hyuuo</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>31</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/31.md" rel="nofollow">seaborn.clustermap</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>32</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/32.md" rel="nofollow">seaborn.FacetGrid</a></td> 
   <td>@hyuuo</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>33</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/33.md" rel="nofollow">seaborn.FacetGrid.map</a></td> 
   <td>@sfw134</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>34</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/34.md" rel="nofollow">seaborn.FacetGrid.map_dataframe</a></td> 
   <td>@sfw134</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>35</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/35.md" rel="nofollow">seaborn.PairGrid</a></td> 
   <td>@sfw134</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>36</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/36.md" rel="nofollow">seaborn.PairGrid.map</a></td> 
   <td>@sfw134</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>37</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/37.md" rel="nofollow">seaborn.PairGrid.map_diag</a></td> 
   <td>@sfw134</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>38</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/38.md" rel="nofollow">seaborn.PairGrid.map_offdiag</a></td> 
   <td>@sfw134</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>39</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/39.md" rel="nofollow">seaborn.PairGrid.map_lower</a></td> 
   <td>@sfw134</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>40</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/40.md" rel="nofollow">seaborn.PairGrid.map_upper</a></td> 
   <td>@sfw134</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>41</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/41.md" rel="nofollow">seaborn.JointGrid</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>42</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/42.md" rel="nofollow">seaborn.JointGrid.plot</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>43</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/43.md" rel="nofollow">seaborn.JointGrid.plot_joint</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>44</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/44.md" rel="nofollow">seaborn.JointGrid.plot_marginals</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>45</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/45.md" rel="nofollow">seaborn.set</a></td> 
   <td>@lbllol365</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>46</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/46.md" rel="nofollow">seaborn.axes_style</a></td> 
   <td>@lbllol365</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>47</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/47.md" rel="nofollow">seaborn.set_style</a></td> 
   <td>@lbllol365</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>48</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/48.md" rel="nofollow">seaborn.plotting_context</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>49</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/49.md" rel="nofollow">seaborn.set_context</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>50</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/50.md" rel="nofollow">seaborn.set_color_codes</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>51</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/51.md" rel="nofollow">seaborn.reset_defaults</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>52</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/52.md" rel="nofollow">seaborn.reset_orig</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>53</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/53.md" rel="nofollow">seaborn.set_palette</a></td> 
   <td>@Modrisco</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>54</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/54.md" rel="nofollow">seaborn.color_palette</a></td> 
   <td>@Modrisco</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>55</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/55.md" rel="nofollow">seaborn.husl_palette</a></td> 
   <td>@Modrisco</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>56</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/56.md" rel="nofollow">seaborn.hls_palette</a></td> 
   <td>@Modrisco</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>57</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/57.md" rel="nofollow">seaborn.cubehelix_palette</a></td> 
   <td>@Modrisco</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>58</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/58.md" rel="nofollow">seaborn.dark_palette</a></td> 
   <td>@Modrisco</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>59</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/59.md" rel="nofollow">seaborn.light_palette</a></td> 
   <td>@Modrisco</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>60</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/60.md" rel="nofollow">seaborn.diverging_palette</a></td> 
   <td>@Modrisco</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>61</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/61.md" rel="nofollow">seaborn.blend_palette</a></td> 
   <td>@Modrisco</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>62</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/62.md" rel="nofollow">seaborn.xkcd_palette</a></td> 
   <td>@Modrisco</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>63</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/63.md" rel="nofollow">seaborn.crayon_palette</a></td> 
   <td>@Modrisco</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>64</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/64.md" rel="nofollow">seaborn.mpl_palette</a></td> 
   <td>@Modrisco</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>65</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/65.md" rel="nofollow">seaborn.choose_colorbrewer_palette</a></td> 
   <td>@Modrisco</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>66</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/66.md" rel="nofollow">seaborn.choose_cubehelix_palette</a></td> 
   <td>@Modrisco</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>67</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/67.md" rel="nofollow">seaborn.choose_light_palette</a></td> 
   <td>@Modrisco</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>68</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/68.md" rel="nofollow">seaborn.choose_dark_palette</a></td> 
   <td>@Modrisco</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>69</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/69.md" rel="nofollow">seaborn.choose_diverging_palette</a></td> 
   <td>@Modrisco</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>70</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/70.md" rel="nofollow">seaborn.load_dataset</a></td> 
   <td>@Modrisco</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>71</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/71.md" rel="nofollow">seaborn.despine</a></td> 
   <td>@Modrisco</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>72</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/72.md" rel="nofollow">seaborn.desaturate</a></td> 
   <td>@Modrisco</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>73</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/73.md" rel="nofollow">seaborn.saturate</a></td> 
   <td>@Modrisco</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>74</td> 
   <td><a href="https://github.com/apachecn/seaborn-doc-zh/blob/master/docs/74.md" rel="nofollow">seaborn.set_hls_values</a></td> 
   <td>@Modrisco</td> 
   <td>100%</td> 
  </tr> 
 </tbody> 
</table>

### Git 中文参考（校对） ###

参与方式：https://github.com/apachecn/git-doc-zh/blob/master/CONTRIBUTING.md

整体进度：https://github.com/apachecn/git-doc-zh/issues/1

项目仓库：https://github.com/apachecn/git-doc-zh

认领：14/83，校对：12/83

<table> 
 <thead> 
  <tr> 
   <th>序号</th> 
   <th>章节</th> 
   <th>贡献者</th> 
   <th>进度</th> 
  </tr> 
 </thead> 
 <tbody> 
  <tr> 
   <td>1</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/1.md" rel="nofollow">git</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>2</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/2.md" rel="nofollow">git-config</a></td> 
   <td>@honglyua</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>3</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/3.md" rel="nofollow">git-help</a></td> 
   <td>@honglyua</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>4</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/4.md" rel="nofollow">git-init</a></td> 
   <td>@honglyua</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>5</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/5.md" rel="nofollow">git-clone</a></td> 
   <td>@honglyua</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>6</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/6.md" rel="nofollow">git-add</a></td> 
   <td>@yulezheng</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>7</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/7.md" rel="nofollow">git-status</a></td> 
   <td>@honglyua</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>8</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/8.md" rel="nofollow">git-diff</a></td> 
   <td>@honglyua</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>9</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/9.md" rel="nofollow">git-commit</a></td> 
   <td>@yulezheng</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>10</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/10.md" rel="nofollow">git-reset</a></td> 
   <td>@honglyua</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>11</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/11.md" rel="nofollow">git-rm</a></td> 
   <td>@honglyua</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>12</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/12.md" rel="nofollow">git-mv</a></td> 
   <td>@honglyua</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>13</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/13.md" rel="nofollow">git-branch</a></td> 
   <td>@honglyua</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>14</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/14.md" rel="nofollow">git-checkout</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>15</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/15.md" rel="nofollow">git-merge</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>16</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/16.md" rel="nofollow">git-mergetool</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>17</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/17.md" rel="nofollow">git-log</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>18</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/18.md" rel="nofollow">git-stash</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>19</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/19.md" rel="nofollow">git-tag</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>20</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/20.md" rel="nofollow">git-worktree</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>21</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/21.md" rel="nofollow">git-fetch</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>22</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/22.md" rel="nofollow">git-pull</a></td> 
   <td>@Mrhuangyi</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>23</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/23.md" rel="nofollow">git-push</a></td> 
   <td>@Mrhuangyi</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>24</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/24.md" rel="nofollow">git-remote</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>25</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/25.md" rel="nofollow">git-submodule</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>26</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/26.md" rel="nofollow">git-show</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>27</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/27.md" rel="nofollow">git-log</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>29</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/29.md" rel="nofollow">git-shortlog</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>30</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/30.md" rel="nofollow">git-describe</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>31</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/31.md" rel="nofollow">git-apply</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>32</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/32.md" rel="nofollow">git-cherry-pick</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>34</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/34.md" rel="nofollow">git-rebase</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>35</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/35.md" rel="nofollow">git-revert</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>36</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/36.md" rel="nofollow">git-bisect</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>37</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/37.md" rel="nofollow">git-blame</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>38</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/38.md" rel="nofollow">git-grep</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>39</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/39.md" rel="nofollow">gitattributes</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>40</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/40.md" rel="nofollow">giteveryday</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>41</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/41.md" rel="nofollow">gitglossary</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>42</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/42.md" rel="nofollow">githooks</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>43</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/43.md" rel="nofollow">gitignore</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>44</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/44.md" rel="nofollow">gitmodules</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>45</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/45.md" rel="nofollow">gitrevisions</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>46</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/46.md" rel="nofollow">gittutorial</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>47</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/47.md" rel="nofollow">gitworkflows</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>48</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/48.md" rel="nofollow">git-am</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>50</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/50.md" rel="nofollow">git-format-patch</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>51</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/51.md" rel="nofollow">git-send-email</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>52</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/52.md" rel="nofollow">git-request-pull</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>53</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/53.md" rel="nofollow">git-svn</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>54</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/54.md" rel="nofollow">git-fast-import</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>55</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/55.md" rel="nofollow">git-clean</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>56</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/56.md" rel="nofollow">git-gc</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>57</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/57.md" rel="nofollow">git-fsck</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>58</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/58.md" rel="nofollow">git-reflog</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>59</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/59.md" rel="nofollow">git-filter-branch</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>60</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/60.md" rel="nofollow">git-instaweb</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>61</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/61.md" rel="nofollow">git-archive</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>62</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/62.md" rel="nofollow">git-bundle</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>63</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/63.md" rel="nofollow">git-daemon</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>64</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/64.md" rel="nofollow">git-update-server-info</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>65</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/65.md" rel="nofollow">git-cat-file</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>66</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/66.md" rel="nofollow">git-check-ignore</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>67</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/67.md" rel="nofollow">git-checkout-index</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>68</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/68.md" rel="nofollow">git-commit-tree</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>69</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/69.md" rel="nofollow">git-count-objects</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>70</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/70.md" rel="nofollow">git-diff-index</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>71</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/71.md" rel="nofollow">git-for-each-ref</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>72</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/72.md" rel="nofollow">git-hash-object</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>73</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/73.md" rel="nofollow">git-ls-files</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>74</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/74.md" rel="nofollow">git-merge-base</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>75</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/75.md" rel="nofollow">git-read-tree</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>76</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/76.md" rel="nofollow">git-rev-list</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>77</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/77.md" rel="nofollow">git-rev-parse</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>78</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/78.md" rel="nofollow">git-show-ref</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>79</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/79.md" rel="nofollow">git-symbolic-ref</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>80</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/80.md" rel="nofollow">git-update-index</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>81</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/81.md" rel="nofollow">git-update-ref</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>82</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/82.md" rel="nofollow">git-verify-pack</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>83</td> 
   <td><a href="https://github.com/apachecn/git-doc-zh/blob/master/docs/83.md" rel="nofollow">git-write-tree</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
 </tbody> 
</table>

### HBase 3.0 中文参考指南（校对） ###

参与方式：https://github.com/apachecn/hbase-doc-zh/blob/master/CONTRIBUTING.md

整体进度：https://github.com/apachecn/hbase-doc-zh/issues/1

项目仓库：https://github.com/apachecn/hbase-doc-zh

认领：18/31，校对：14/31

<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/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>100%</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>100%</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>@mychaow</td> 
   <td>100%</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>@mychaow</td> 
   <td>100%</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>@mychaow</td> 
   <td>100%</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>@xixici</td> 
   <td>100%</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>@xixici</td> 
   <td>100%</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>@xixici</td> 
   <td>100%</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>100%</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>@TsingJyujing</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>@TsingJyujing</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>

### 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

整体进度：https://github.com/apachecn/prob140-textbook-zh/issues/2

项目仓库：https://github.com/apachecn/prob140-textbook-zh

认领：22/25，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></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></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>@hellozhaihy</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></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>

### Machine Learning Mastery（校对） ###

参与方式：https://github.com/apachecn/ml-mastery-zh/blob/master/CONTRIBUTING.md

整体进度：https://github.com/apachecn/ml-mastery-zh/issues/1

项目仓库：https://github.com/apachecn/ml-mastery-zh

Keras：认领：0/46，校对：0/46

XGBoost：认领：0/18，校对：0/18

<table> 
 <thead> 
  <tr> 
   <th>章节</th> 
   <th>贡献者</th> 
   <th>进度</th> 
  </tr> 
 </thead> 
 <tbody> 
  <tr> 
   <td>深度学习与 Keras</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/5-step-life-cycle-neural-network-models-keras.md" rel="nofollow">Keras 中神经网络模型的 5 步生命周期</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/applied-deep-learning-in-python-mini-course.md" rel="nofollow">在 Python 迷你课程中应用深度学习</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/binary-classification-tutorial-with-the-keras-deep-learning-library.md" rel="nofollow">Keras 深度学习库的二元分类教程</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/build-multi-layer-perceptron-neural-network-models-keras.md" rel="nofollow">如何用 Keras 构建多层感知器神经网络模型</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/check-point-deep-learning-models-keras.md" rel="nofollow">如何在 Keras 中检查深度学习模型</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/command-line-recipes-deep-learning-amazon-web-services.md" rel="nofollow">10 个用于 Amazon Web Services 深度学习的命令行秘籍</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/crash-course-convolutional-neural-networks.md" rel="nofollow">机器学习卷积神经网络的速成课程</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/custom-metrics-deep-learning-keras-python.md" rel="nofollow">如何在 Python 中使用 Keras 进行深度学习的度量</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/deep-learning-books.md" rel="nofollow">深度学习书籍</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/deep-learning-courses.md" rel="nofollow">深度学习课程</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/deep-learning-for-developers.md" rel="nofollow">你所知道的深度学习是一种谎言</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/develop-evaluate-large-deep-learning-models-keras-amazon-web-services.md" rel="nofollow">如何设置 Amazon AWS EC2 GPU 以训练 Keras 深度学习模型（分步）</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/difference-between-a-batch-and-an-epoch.md" rel="nofollow">神经网络中批量和迭代之间的区别是什么？</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/display-deep-learning-model-training-history-in-keras.md" rel="nofollow">在 Keras 展示深度学习模型训练历史</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/dropout-regularization-deep-learning-models-keras.md" rel="nofollow">基于 Keras 的深度学习模型中的dropout正则化</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/evaluate-performance-deep-learning-models-keras.md" rel="nofollow">评估 Keras 中深度学习模型的表现</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/evaluate-skill-deep-learning-models.md" rel="nofollow">如何评价深度学习模型的技巧</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/gentle-introduction-mini-batch-gradient-descent-configure-batch-size.md" rel="nofollow">小批量梯度下降的简要介绍以及如何配置批量大小</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/get-help-with-keras.md" rel="nofollow">在 Keras 中获得深度学习帮助的 9 种方法</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/grid-search-hyperparameters-deep-learning-models-python-keras.md" rel="nofollow">如何使用 Keras 在 Python 中网格搜索深度学习模型的超参数</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/handwritten-digit-recognition-using-convolutional-neural-networks-python-keras.md" rel="nofollow">用 Keras 在 Python 中使用卷积神经网络进行手写数字识别</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/how-to-make-classification-and-regression-predictions-for-deep-learning-models-in-keras.md" rel="nofollow">如何用 Keras 进行预测</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/image-augmentation-deep-learning-keras.md" rel="nofollow">用 Keras 进行深度学习的图像增强</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/inspirational-applications-deep-learning.md" rel="nofollow">8 个深度学习的鼓舞人心的应用</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/introduction-python-deep-learning-library-keras.md" rel="nofollow">Python 深度学习库 Keras 简介</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/introduction-python-deep-learning-library-tensorflow.md" rel="nofollow">Python 深度学习库 TensorFlow 简介</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/introduction-python-deep-learning-library-theano.md" rel="nofollow">Python 深度学习库 Theano 简介</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/keras-functional-api-deep-learning.md" rel="nofollow">如何使用 Keras 函数式 API 进行深度学习</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/multi-class-classification-tutorial-keras-deep-learning-library.md" rel="nofollow">Keras 深度学习库的多类分类教程</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/neural-networks-crash-course.md" rel="nofollow">多层感知器神经网络速成课程</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/object-recognition-convolutional-neural-networks-keras-deep-learning-library.md" rel="nofollow">基于卷积神经网络的 Keras 深度学习库中的目标识别</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/popular-deep-learning-libraries.md" rel="nofollow">流行的深度学习库</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/predict-sentiment-movie-reviews-using-deep-learning.md" rel="nofollow">用深度学习预测电影评论的情感</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/regression-tutorial-keras-deep-learning-library-python.md" rel="nofollow">Python 中的 Keras 深度学习库的回归教程</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/reproducible-results-neural-networks-keras.md" rel="nofollow">如何使用 Keras 获得可重现的结果</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/run-deep-learning-experiments-linux-server.md" rel="nofollow">如何在 Linux 服务器上运行深度学习实验</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/save-load-keras-deep-learning-models.md" rel="nofollow">保存并加载您的 Keras 深度学习模型</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/tutorial-first-neural-network-python-keras.md" rel="nofollow">用 Keras 逐步开发 Python 中的第一个神经网络</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/understanding-stateful-lstm-recurrent-neural-networks-python-keras.md" rel="nofollow">用 Keras 理解 Python 中的有状态 LSTM 循环神经网络</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/use-keras-deep-learning-models-scikit-learn-python.md" rel="nofollow">在 Python 中使用 Keras 深度学习模型和 Scikit-Learn</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/use-pre-trained-vgg-model-classify-objects-photographs.md" rel="nofollow">如何使用预训练的 VGG 模型对照片中的物体进行分类</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/using-learning-rate-schedules-deep-learning-models-python-keras.md" rel="nofollow">在 Python 和 Keras 中对深度学习模型使用学习率调度</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/visualize-deep-learning-neural-network-model-keras.md" rel="nofollow">如何在 Keras 中可视化深度学习神经网络模型</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/what-is-deep-learning.md" rel="nofollow">什么是深度学习？</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/when-to-use-mlp-cnn-and-rnn-neural-networks.md" rel="nofollow">何时使用 MLP，CNN 和 RNN 神经网络</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/dl-keras/why-initialize-a-neural-network-with-random-weights.md" rel="nofollow">为什么用随机权重初始化神经网络？</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>XGBoost</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/xgboost/avoid-overfitting-by-early-stopping-with-xgboost-in-python.md" rel="nofollow">通过在 Python 中使用 XGBoost 提前停止来避免过度拟合</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/xgboost/best-tune-multithreading-support-xgboost-python.md" rel="nofollow">如何在 Python 中调优 XGBoost 的多线程支持</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/xgboost/configure-gradient-boosting-algorithm.md" rel="nofollow">如何配置梯度提升算法</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/xgboost/data-preparation-gradient-boosting-xgboost-python.md" rel="nofollow">在 Python 中使用 XGBoost 进行梯度提升的数据准备</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/xgboost/develop-first-xgboost-model-python-scikit-learn.md" rel="nofollow">如何使用 scikit-learn 在 Python 中开发您的第一个 XGBoost 模型</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/xgboost/evaluate-gradient-boosting-models-xgboost-python.md" rel="nofollow">如何在 Python 中使用 XGBoost 评估梯度提升模型</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/xgboost/feature-importance-and-feature-selection-with-xgboost-in-python.md" rel="nofollow">在 Python 中使用 XGBoost 的特征重要性和特征选择</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/xgboost/gentle-introduction-gradient-boosting-algorithm-machine-learning.md" rel="nofollow">浅谈机器学习的梯度提升算法</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/xgboost/gentle-introduction-xgboost-applied-machine-learnin.md" rel="nofollow">应用机器学习的 XGBoost 简介</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/xgboost/install-xgboost-python-macos.md" rel="nofollow">如何在 macOS 上为 Python 安装 XGBoost</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/xgboost/save-gradient-boosting-models-xgboost-python.md" rel="nofollow">如何在 Python 中使用 XGBoost 保存梯度提升模型</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/xgboost/start-with-gradient-boosting.md" rel="nofollow">从梯度提升开始，比较 165 个数据集上的 13 种算法</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/xgboost/stochastic-gradient-boosting-xgboost-scikit-learn-python.md" rel="nofollow">在 Python 中使用 XGBoost 和 scikit-learn 进行随机梯度提升</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/xgboost/train-xgboost-models-cloud-amazon-web-services.md" rel="nofollow">如何使用 Amazon Web Services 在云中训练 XGBoost 模型</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/xgboost/tune-learning-rate-for-gradient-boosting-with-xgboost-in-python.md" rel="nofollow">在 Python 中使用 XGBoost 调整梯度提升的学习率</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/xgboost/tune-number-size-decision-trees-xgboost-python.md" rel="nofollow">如何在 Python 中使用 XGBoost 调整决策树的数量和大小</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/xgboost/visualize-gradient-boosting-decision-trees-xgboost-python.md" rel="nofollow">如何在 Python 中使用 XGBoost 可视化梯度提升决策树</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/ml-mastery-zh/blob/master/docs/xgboost/xgboost-python-mini-course.md" rel="nofollow">在 Python 中开始使用 XGBoost 的 7 步迷你课程</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
 </tbody> 
</table>

### Pytorch 1.0 中文文档 ###

参与方式：https://github.com/apachecn/pytorch-doc-zh/blob/master/CONTRIBUTING.md

整体进度：https://github.com/apachecn/pytorch-doc-zh/issues/274

项目仓库：https://github.com/apachecn/pytorch-doc-zh

翻译活动：认领：75/76，翻译：70/76

校对活动：认领：18/76，校对：1/76

<table> 
 <thead> 
  <tr> 
   <th>章节</th> 
   <th>译者</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>@luxinfeng</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>@luxinfeng</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>@luxinfeng</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>@enningxie</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>@hijkzzz</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> 
   <td>@hijkzzz</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>@enningxie</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>@infdahai</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>@infdahai</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>100%</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>@bruce1408</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>@infdahai</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>@gongel</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>@zonasw</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>100%</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>

### TensorFlow 2.0 中文文档 ###

整体进度：https://github.com/apachecn/tensorflow-doc-zh/issues/3

项目仓库：https://github.com/apachecn/tensorflow-doc-zh

认领：2/70，翻译：2/70

<table> 
 <thead> 
  <tr> 
   <th>章节</th> 
   <th>译者</th> 
   <th>进度</th> 
   <th>校验者</th> 
   <th>进度</th> 
  </tr> 
 </thead> 
 <tbody> 
  <tr> 
   <td>快速入门</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">开始使用TensorFlow 2.0</a></td> 
   <td>@jiangzhonglian</td> 
   <td>100%</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Effective TensorFlow 2</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Migrate from TF 1 to TF 2</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Convert with the upgrade script</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Get started for beginners</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Get started for experts</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td>初学者教程</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td>ML basics</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Overview</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Classify images</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Classify text</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Classify structured data</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Regression</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Overfitting and underfitting</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Save and restore models</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td>Images</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Convolutional neural networks</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Transfer learning with TFHub</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Transfer learning with pretrained CNNs</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td>文本和序列</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Word Embeddings 简介</a></td> 
   <td>@jiangzhonglian</td> 
   <td>100%</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Classify preprocessed text</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Classify text with a RNN</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td>Estimators</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Premade estimators</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Linear models</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td>ADVANCED TUTORIALS</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td>Customization</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Overview</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Tensors and operations</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Custom layers</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Automatic differentiation</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Custom training: basics</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Custom training: walkthrough</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">TF function and AutoGraph</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td>Text and sequences</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Generate text with an RNN</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Translation with attention</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Image captioning</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Transformer model for language understanding</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td>lmage generation</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Style transfer</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">DCGAN</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Pix2Pix</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">CycleGAN</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Variational autoencoder</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Adversarial FGSM</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td>Load and preprocess data</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">CSV</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Numpy</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Pandas</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">lmages</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Text</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">TFRecords</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Unicode</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">TF.Text</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td>Distributed training</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Distributed training</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Distributed training with custom</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">training loops</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Multi worker training with</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Estimator</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Multi worker training with Keras</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td>GUIDE</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Eager essentials</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Variables</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">AutoGraph</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td>Keras</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Keras overview</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Keras functional API</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Train and evaluate</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Write layers and models from scratch</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Save and serialize models</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Write custom callbacks</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td>Accelerators</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Distribution strategy</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Using GPU</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td>Data input pipelines</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">tf.data Overview</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Performance</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td>Serialization</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Checkpoints</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Saved models</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td>Misc</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a rel="nofollow">Version compatibility</a></td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
 </tbody> 
</table>

### 认领完毕 ###

#### OpenCV 4.0 中文教程 ####

参与方式：https://github.com/apachecn/opencv-doc-zh/blob/master/CONTRIBUTING.md

整体进度：https://github.com/apachecn/opencv-doc-zh/issues/1

项目仓库：https://github.com/apachecn/opencv-doc-zh

认领：51/51，翻译：26/51。

#### UCB CS61b：Java 中的数据结构 ####

参与方式：https://github.com/apachecn/cs61b-textbook-zh/blob/master/CONTRIBUTING.md

整体进度：https://github.com/apachecn/cs61b-textbook-zh/issues/1

项目仓库：https://github.com/apachecn/cs61b-textbook-zh

认领：12/12，翻译：10/12

## 笔记整理活动 ##

### CS224n 自然语言处理 ###

参与方式：https://github.com/apachecn/stanford-cs224n-notes-zh/blob/master/CONTRIBUTING.md

整体进度：https://github.com/apachecn/stanford-cs224n-notes-zh/issues/1

项目仓库：https://github.com/apachecn/stanford-cs224n-notes-zh

认领：12/20，整理：0/20

<table> 
 <thead> 
  <tr> 
   <th>章节</th> 
   <th>贡献者</th> 
   <th>进度</th> 
  </tr> 
 </thead> 
 <tbody> 
  <tr> 
   <td><a href="https://www.bilibili.com/video/av46216519/?p=1" rel="nofollow">Lecture 1</a></td> 
   <td>@cx123cx456</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://www.bilibili.com/video/av46216519/?p=2" rel="nofollow">Lecture 2</a></td> 
   <td>@AllenZYJ</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://www.bilibili.com/video/av46216519/?p=3" rel="nofollow">Lecture 3</a></td> 
   <td>@cx123cx456</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://www.bilibili.com/video/av46216519/?p=4" rel="nofollow">Lecture 4</a></td> 
   <td>@ZSIRS</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://www.bilibili.com/video/av46216519/?p=5" rel="nofollow">Lecture 5</a></td> 
   <td>@ZSIRS</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://www.bilibili.com/video/av46216519/?p=6" rel="nofollow">Lecture 6</a></td> 
   <td>@ZSIRS</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://www.bilibili.com/video/av46216519/?p=7" rel="nofollow">Lecture 7</a></td> 
   <td>@neolei</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://www.bilibili.com/video/av46216519/?p=8" rel="nofollow">Lecture 8</a></td> 
   <td>@Qichao-Ge</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://www.bilibili.com/video/av46216519/?p=9" rel="nofollow">Lecture 9</a></td> 
   <td>@NewDreamstyle192</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://www.bilibili.com/video/av46216519/?p=10" rel="nofollow">Lecture 10</a></td> 
   <td>@enningxie</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://www.bilibili.com/video/av46216519/?p=11" rel="nofollow">Lecture 11</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://www.bilibili.com/video/av46216519/?p=12" rel="nofollow">Lecture 12</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://www.bilibili.com/video/av46216519/?p=13" rel="nofollow">Lecture 13</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://www.bilibili.com/video/av46216519/?p=14" rel="nofollow">Lecture 14</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://www.bilibili.com/video/av46216519/?p=15" rel="nofollow">Lecture 15</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://www.bilibili.com/video/av46216519/?p=16" rel="nofollow">Lecture 16</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://www.bilibili.com/video/av46216519/?p=17" rel="nofollow">Lecture 17</a></td> 
   <td>@pingjing233</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://www.bilibili.com/video/av46216519/?p=18" rel="nofollow">Lecture 18</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://www.bilibili.com/video/av46216519/?p=19" rel="nofollow">Lecture 19</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://www.bilibili.com/video/av46216519/?p=20" rel="nofollow">Lecture 20</a></td> 
   <td>@Willianan</td> 
   <td></td> 
  </tr> 
 </tbody> 
</table>

## 宣传活动 ##

### PyTorch 1.0 ###

整体进度：https://github.com/apachecn/pytorch-doc-zh/issues/372

项目仓库：https://github.com/apachecn/pytorch-doc-zh

<table> 
 <thead> 
  <tr> 
   <th>章节</th> 
   <th>OSChina</th> 
   <th>SegmentFault</th> 
   <th>掘金</th> 
   <th>简书</th> 
   <th>搜狐号</th> 
   <th>百家号</th> 
   <th>知乎专栏</th> 
  </tr> 
 </thead> 
 <tbody> 
  <tr> 
   <td>教程部分</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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></td> 
  </tr> 
  <tr> 
   <td>文档部分</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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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></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> 
  </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> 
  </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></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></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> 
  </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></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></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></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></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></td> 
  </tr> 
 </tbody> 
</table>

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