ApacheCN 翻译/校对/笔记整理活动进度公告 2019.9.13

傷城~ 2024-04-18 22:54 55阅读 0赞

## **注意** ##

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## **翻译校对活动** ##

### **百页机器学习小书【翻译】** ###

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：10/12，翻译：7/12

<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></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>四、线性算法剖析</td> 
   <td>@P3n9W31</td> 
   <td>100%</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></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>七、问题和答案</td> 
   <td>@LaicZhang</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>八、高级实践</td> 
   <td>@LaicZhang</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>九、无监督学习</td> 
   <td>@onlyonewater</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>十、其它学习形式</td> 
   <td>@kjlintong</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>十一、总结</td> 
   <td>@kjlintong</td> 
   <td>100%</td> 
  </tr> 
 </tbody> 
</table>

### **CS234 强化学习讲义【翻译】** ###

参与方式：https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/CONTRIBUTING.md

整体进度：https://github.com/apachecn/stanford-cs234-notes-zh/issues/1

项目仓库：https://github.com/apachecn/uiuc-cs241-notes-zh

认领：8/15，翻译：6/15

<table> 
 <thead> 
  <tr> 
   <th>章节</th> 
   <th>贡献者</th> 
   <th>进度</th> 
  </tr> 
 </thead> 
 <tbody> 
  <tr> 
   <td><a href="https://web.stanford.edu/class/cs234/slides/lnotes_intro.pdf" rel="nofollow">Lecture 1</a></td> 
   <td>@Everglow0214</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://web.stanford.edu/class/cs234/slides/lnotes2.pdf" rel="nofollow">Lecture 2</a></td> 
   <td>@sunnyswag</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://web.stanford.edu/class/cs234/slides/lnotes3.pdf" rel="nofollow">Lecture 3</a></td> 
   <td>@Everglow0214</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://web.stanford.edu/class/cs234/slides/lnotes4.pdf" rel="nofollow">Lecture 4</a></td> 
   <td>@Everglow0214</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://web.stanford.edu/class/cs234/slides/lnotes5.pdf" rel="nofollow">Lecture 5</a></td> 
   <td>@Everglow0214</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://web.stanford.edu/class/cs234/slides/lnotes6.pdf" rel="nofollow">Lecture 6</a></td> 
   <td>@Everglow0214</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://web.stanford.edu/class/cs234/slides/lnotes7.pdf" rel="nofollow">Lecture 7</a></td> 
   <td>@Everglow0214</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://web.stanford.edu/class/cs234/slides/lnotes8.pdf" rel="nofollow">Lecture 8</a></td> 
   <td>@Everglow0214</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://web.stanford.edu/class/cs234/slides/lnotes9.pdf" rel="nofollow">Lecture 9</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://web.stanford.edu/class/cs234/slides/lnotes10.pdf" rel="nofollow">Lecture 10</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://web.stanford.edu/class/cs234/slides/lnotes11.pdf" rel="nofollow">Lecture 11</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://web.stanford.edu/class/cs234/slides/lnotes12.pdf" rel="nofollow">Lecture 12</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://web.stanford.edu/class/cs234/slides/lnotes13.pdf" rel="nofollow">Lecture 13</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://web.stanford.edu/class/cs234/slides/lnotes14.pdf" rel="nofollow">Lecture 14</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://web.stanford.edu/class/cs234/slides/lnotes15.pdf" rel="nofollow">Lecture 15</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
 </tbody> 
</table>

### **MIT 18.03 写给初学者的微积分【校对】** ###

参与方式：https://github.com/apachecn/calc4b-zh/blob/master/CONTRIBUTING.md

整体进度：https://github.com/apachecn/calc4b-zh/issues/1

项目仓库：https://github.com/apachecn/calc4b-zh

认领：9/73，校对：0/73

<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/calc4b-zh/blob/master/docs/2.md" rel="nofollow">第 0 章：为何学习微积分？</a></td> 
   <td>@PEGASUS1993</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/3.md" rel="nofollow">0.1 你应该知道什么</a></td> 
   <td>@PEGASUS1993</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/4.md" rel="nofollow">0.2 什么是微积分？我们为什么要研究它？</a></td> 
   <td>@PEGASUS1993</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/5.md" rel="nofollow">第 1 章：数字</a></td> 
   <td>@PEGASUS1993</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/6.md" rel="nofollow">1.1 什么是数字？有理数</a></td> 
   <td>@PEGASUS1993</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/7.md" rel="nofollow">1.2 小数和实数</a></td> 
   <td>@PEGASUS1993</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/8.md" rel="nofollow">1.3 复数</a></td> 
   <td>@PEGASUS1993</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/9.md" rel="nofollow">复数运算</a></td> 
   <td>@PEGASUS1993</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/10.md" rel="nofollow">1.4 可数集（消遣）</a></td> 
   <td>@PEGASUS1993</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/11.md" rel="nofollow">第 2 章：使用电子表格</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/12.md" rel="nofollow">2.1 什么是电子表格？</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/13.md" rel="nofollow">2.2 斐波纳契数</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/14.md" rel="nofollow">2.3 帕斯卡的三角形</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/15.md" rel="nofollow">2.4 与电子表格集成</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/16.md" rel="nofollow">第 3 章：线性函数</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/17.md" rel="nofollow">3.1 什么是函数？</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/18.md" rel="nofollow">3.2 线性函数</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/19.md" rel="nofollow">3.3 线性</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/20.md" rel="nofollow">第四章：函数的二次型和导数</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/21.md" rel="nofollow">4.1 更复杂的函数</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/22.md" rel="nofollow">4.2 二次函数的斜率</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/23.md" rel="nofollow">第 5 章：有理函数和导数的计算</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/24.md" rel="nofollow">5.1 有理函数的导数</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/25.md" rel="nofollow">第 6 章：指数函数，替换和链规则</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/26.md" rel="nofollow">6.1 最有用函数的导数</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/27.md" rel="nofollow">第 7 章：三角函数及其导数</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/28.md" rel="nofollow">7.1 二维数学</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/30.md" rel="nofollow">7.2 三角学和导数以及加法定理</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/72.md" rel="nofollow">第 8 章：反函数及其导函数</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/73.md" rel="nofollow">8.1 反函数</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/74.md" rel="nofollow">8.2 微分反函数</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/75.md" rel="nofollow">8.3 更多规则</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/31.md" rel="nofollow">第 9 章：数值微分和不可微函数</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/32.md" rel="nofollow">9.1 数值微分</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/33.md" rel="nofollow">9.2 绘制导数图</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/34.md" rel="nofollow">9.3 不可微函数</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/35.md" rel="nofollow">第 10 章：微分的回顾</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/36.md" rel="nofollow">10.1 复习</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/37.md" rel="nofollow">第 11 章：微分在求解方程中的应用</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/38.md" rel="nofollow">11.1 求解方程</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/39.md" rel="nofollow">第 12 章：反导数</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/40.md" rel="nofollow">12.1 反导数</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/41.md" rel="nofollow">第 13 章：曲线下面积;定积分</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/42.md" rel="nofollow">13.1 区域：定义，名称和符号</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/43.md" rel="nofollow">13.2 微积分和确定区域的基本定理</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/44.md" rel="nofollow">13.3 积分的诀窍</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/45.md" rel="nofollow">第 14 章：数值积分</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/46.md" rel="nofollow">14.1 数值积分计划</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/47.md" rel="nofollow">14.2 积分的“规则”</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/48.md" rel="nofollow">14.3 为什么这些规则有效？</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/49.md" rel="nofollow">第 15 章：平行数字的面积和体积;行列式</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/50.md" rel="nofollow">15.1 有符号面积和体积</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/51.md" rel="nofollow">15.2 表示平行边的图形</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/52.md" rel="nofollow">15.3 行列式的属性</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/53.md" rel="nofollow">15.4 求解行列式</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/54.md" rel="nofollow">15.5 用于求解电子表格中的行列式的爱丽丝梦游仙境方法</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/55.md" rel="nofollow">第 16 章一些纯数学</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/56.md" rel="nofollow">16.1 极限和点集拓扑简介</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/57.md" rel="nofollow">16.2 紧集</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/58.md" rel="nofollow">16.3 杂注</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/59.md" rel="nofollow">16.4 Lebesgue 积分</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/60.md" rel="nofollow">第 17 章：物理的建模应用</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/61.md" rel="nofollow">17.1 垂直运动建模</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/62.md" rel="nofollow">17.2 弹簧建模（谐波振荡器）</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/63.md" rel="nofollow">17.3 受迫振荡</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/64.md" rel="nofollow">17.4 简单电路</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/65.md" rel="nofollow">第 18 章捕食者猎物模型</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/66.md" rel="nofollow">18.1 捕食者猎物模型</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/67.md" rel="nofollow">第 19 章：求解微分方程</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/68.md" rel="nofollow">19.1 计划</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/69.md" rel="nofollow">19.2 一阶微分方程</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/70.md" rel="nofollow">19.3 二阶微分方程</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/calc4b-zh/blob/master/docs/71.md" rel="nofollow">19.4 行星运动</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
 </tbody> 
</table>

### **UIUC CS241 系统编程中文讲义【校对】** ###

参与方式：https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/CONTRIBUTING.md

整体进度：https://github.com/apachecn/uiuc-cs241-notes-zh/issues/1

项目仓库：https://github.com/apachecn/uiuc-cs241-notes-zh

认领：6/78，校对：6/78

<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/uiuc-cs241-notes-zh/blob/master/docs/3.md" rel="nofollow">#Informal词汇表</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/4.md" rel="nofollow">#Piazza：何时以及如何寻求帮助</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/5.md" rel="nofollow">编程技巧，第1部分</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/6.md" rel="nofollow">系统编程短篇小说和歌曲</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/8.md" rel="nofollow">C编程，第1部分：简介</a></td> 
   <td>@blue-bird1</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/9.md" rel="nofollow">C编程，第2部分：文本输入和输出</a></td> 
   <td>@hqiwen</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/10.md" rel="nofollow">C编程，第3部分：常见问题</a></td> 
   <td>@hqiwen</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/11.md" rel="nofollow">C编程，第4部分：字符串和结构</a></td> 
   <td>@hqiwen</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/12.md" rel="nofollow">C编程，第5部分：调试</a></td> 
   <td>@hqiwen</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/13.md" rel="nofollow">C编程，复习题</a></td> 
   <td>@hqiwen</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/15.md" rel="nofollow">进程，第1部分：简介</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/16.md" rel="nofollow">分叉，第1部分：简介</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/17.md" rel="nofollow">分叉，第2部分：Fork，Exec，等等</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/18.md" rel="nofollow">进程控制，第1部分：使用信号等待宏</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/19.md" rel="nofollow">进程复习题</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/21.md" rel="nofollow">内存，第1部分：堆内存简介</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/22.md" rel="nofollow">内存，第2部分：实现内存分配器</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/23.md" rel="nofollow">内存，第3部分：粉碎堆栈示例</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/24.md" rel="nofollow">内存复习题</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/26.md" rel="nofollow">Pthreads，第1部分：简介</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/27.md" rel="nofollow">Pthreads，第2部分：实践中的用法</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/28.md" rel="nofollow">Pthreads，第3部分：并行问题（奖金）</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/29.md" rel="nofollow">Pthread复习题</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/31.md" rel="nofollow">同步，第1部分：互斥锁</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/32.md" rel="nofollow">同步，第2部分：计算信号量</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/33.md" rel="nofollow">同步，第3部分：使用互斥锁和信号量</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/34.md" rel="nofollow">同步，第4部分：临界区问题</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/35.md" rel="nofollow">同步，第5部分：条件变量</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/36.md" rel="nofollow">同步，第6部分：实现障碍</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/37.md" rel="nofollow">同步，第7部分：读者编写器问题</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/38.md" rel="nofollow">同步，第8部分：环形缓冲区示例</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/39.md" rel="nofollow">同步复习题</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/41.md" rel="nofollow">死锁，第1部分：资源分配图</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/42.md" rel="nofollow">死锁，第2部分：死锁条件</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/43.md" rel="nofollow">死锁，第3部分：餐饮哲学家</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/44.md" rel="nofollow">死锁复习题</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/46.md" rel="nofollow">虚拟内存，第1部分：虚拟内存简介</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/47.md" rel="nofollow">管道，第1部分：管道介绍</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/48.md" rel="nofollow">管道，第2部分：管道编程秘密</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/49.md" rel="nofollow">文件，第1部分：使用文件</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/50.md" rel="nofollow">调度，第1部分：调度过程</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/51.md" rel="nofollow">调度，第2部分：调度过程：算法</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/52.md" rel="nofollow">IPC复习题</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/54.md" rel="nofollow">POSIX，第1部分：错误处理</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/55.md" rel="nofollow">网络，第1部分：简介</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/56.md" rel="nofollow">网络，第2部分：使用getaddrinfo</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/57.md" rel="nofollow">网络，第3部分：构建一个简单的TCP客户端</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/58.md" rel="nofollow">网络，第4部分：构建一个简单的TCP服务器</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/59.md" rel="nofollow">网络，第5部分：关闭端口，重用端口和其他技巧</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/60.md" rel="nofollow">网络，第6部分：创建UDP服务器</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/61.md" rel="nofollow">网络，第7部分：非阻塞I O，select（）和epoll</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/62.md" rel="nofollow">RPC，第1部分：远程过程调用简介</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/63.md" rel="nofollow">网络复习题</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/65.md" rel="nofollow">文件系统，第1部分：简介</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/66.md" rel="nofollow">文件系统，第2部分：文件是inode（其他一切只是数据…）</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/67.md" rel="nofollow">文件系统，第3部分：权限</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/68.md" rel="nofollow">文件系统，第4部分：使用目录</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/69.md" rel="nofollow">文件系统，第5部分：虚拟文件系统</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/70.md" rel="nofollow">文件系统，第6部分：内存映射文件和共享内存</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/71.md" rel="nofollow">文件系统，第7部分：可扩展且可靠的文件系统</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/72.md" rel="nofollow">文件系统，第8部分：从Android设备中删除预装的恶意软件</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/73.md" rel="nofollow">文件系统，第9部分：磁盘块示例</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/74.md" rel="nofollow">文件系统复习题</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/76.md" rel="nofollow">过程控制，第1部分：使用信号等待宏</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/77.md" rel="nofollow">信号，第2部分：待处理的信号和信号掩码</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/78.md" rel="nofollow">信号，第3部分：提高信号</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/79.md" rel="nofollow">信号，第4部分：信号</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/80.md" rel="nofollow">信号复习题</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/82.md" rel="nofollow">考试主题</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/83.md" rel="nofollow">C编程：复习题</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/84.md" rel="nofollow">多线程编程：复习题</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/85.md" rel="nofollow">同步概念：复习题</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/86.md" rel="nofollow">内存：复习题</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/87.md" rel="nofollow">管道：复习题</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/88.md" rel="nofollow">文件系统：复习题</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/89.md" rel="nofollow">网络：复习题</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/90.md" rel="nofollow">信号：复习题</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/uiuc-cs241-notes-zh/blob/master/docs/91.md" rel="nofollow">系统编程笑话</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
 </tbody> 
</table>

### **Cython 3.0 中文文档【校对】** ###

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

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

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

认领：7/37，校对：0/37

<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/cython-doc-zh/blob/master/docs/3.md" rel="nofollow">Cython - 概述</a></td> 
   <td>@varyshare</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/4.md" rel="nofollow">安装 Cython</a></td> 
   <td>@varyshare</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/5.md" rel="nofollow">构建 Cython 代码</a></td> 
   <td>@varyshare</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/6.md" rel="nofollow">通过静态类型更快的代码</a></td> 
   <td>@varyshare</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/8.md" rel="nofollow">基础教程</a></td> 
   <td>@varyshare</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/9.md" rel="nofollow">调用 C 函数</a></td> 
   <td>@varyshare</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/10.md" rel="nofollow">使用 C 库</a></td> 
   <td>@varyshare</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/11.md" rel="nofollow">扩展类型（又名.cdef 类）</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/12.md" rel="nofollow">pxd 文件</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/13.md" rel="nofollow">Caveats</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/14.md" rel="nofollow">Profiling</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/15.md" rel="nofollow">Unicode 和传递字符串</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/16.md" rel="nofollow">内存分配</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/17.md" rel="nofollow">纯 Python 模式</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/18.md" rel="nofollow">使用 NumPy</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/19.md" rel="nofollow">使用 Python 数组</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/20.md" rel="nofollow">进一步阅读</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/21.md" rel="nofollow">相关工作</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/22.md" rel="nofollow">附录：在 Windows 上安装 MinGW</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/24.md" rel="nofollow">语言基础</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/25.md" rel="nofollow">扩展类型</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/26.md" rel="nofollow">扩展类型的特殊方法</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/27.md" rel="nofollow">在 Cython 模块之间共享声明</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/28.md" rel="nofollow">与外部 C 代码连接</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/29.md" rel="nofollow">源文件和编译</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/30.md" rel="nofollow">早期绑定速度</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/31.md" rel="nofollow">在 Cython 中使用 C ++</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/32.md" rel="nofollow">融合类型（模板）</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/33.md" rel="nofollow">将 Cython 代码移植到 PyPy</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/34.md" rel="nofollow">Limitations</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/35.md" rel="nofollow">Cython 和 Pyrex 之间的区别</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/36.md" rel="nofollow">键入的内存视图</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/37.md" rel="nofollow">实现缓冲协议</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/38.md" rel="nofollow">使用并行性</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/39.md" rel="nofollow">调试你的 Cython 程序</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/40.md" rel="nofollow">用于 NumPy 用户的 Cython</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/cython-doc-zh/blob/master/docs/41.md" rel="nofollow">Pythran 作为 Numpy 后端</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
 </tbody> 
</table>

### **Numba 0.44 中文文档【校对】** ###

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

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

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

认领：1/73，校对：1/73

<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/numba-doc-zh/blob/master/docs/11.md" rel="nofollow">1. 用户手册</a></td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/12.md" rel="nofollow">1.1。 Numba 的约 5 分钟指南</a></td> 
   <td>@saltball</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/13.md" rel="nofollow">1.2。概述</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/14.md" rel="nofollow">1.3。安装</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/15.md" rel="nofollow">1.4。使用<code>@jit</code> 编译 Python 代码</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/16.md" rel="nofollow">1.5。使用<code>@generated_jit</code> 进行灵活的专业化</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/17.md" rel="nofollow">1.6。创建 Numpy 通用函数</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/18.md" rel="nofollow">1.7。用@jitclass 编译 python 类</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/19.md" rel="nofollow">1.8。使用<code>@cfunc</code> 创建 C 回调</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/20.md" rel="nofollow">1.9。提前编译代码</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/21.md" rel="nofollow">1.10。使用<code>@jit</code> 自动并行化</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/22.md" rel="nofollow">1.11。使用<code>@stencil</code>装饰器</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/23.md" rel="nofollow">1.12。从 JIT 代码 中回调到 Python 解释器</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/24.md" rel="nofollow">1.13。性能提示</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/25.md" rel="nofollow">1.14。线程层</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/26.md" rel="nofollow">1.15。故障排除和提示</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/27.md" rel="nofollow">1.16。常见问题</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/28.md" rel="nofollow">1.17。示例</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/29.md" rel="nofollow">1.18。会谈和教程</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/30.md" rel="nofollow">2. 参考手册</a></td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/31.md" rel="nofollow">2.1。类型和签名</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/32.md" rel="nofollow">2.2。即时编译</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/33.md" rel="nofollow">2.3。提前编译</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/34.md" rel="nofollow">2.4。公用事业</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/35.md" rel="nofollow">2.5。环境变量</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/36.md" rel="nofollow">2.6。支持的 Python 功能</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/37.md" rel="nofollow">2.7。支持的 NumPy 功能</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/38.md" rel="nofollow">2.8。与 Python 语义的偏差</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/39.md" rel="nofollow">2.9。浮点陷阱</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/40.md" rel="nofollow">2.10。 Python 2.7 寿命终止计划</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/41.md" rel="nofollow">3. 用于 CUDA GPU 的 Numba</a></td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/42.md" rel="nofollow">3.1。概述</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/43.md" rel="nofollow">3.2。编写 CUDA 内核</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/44.md" rel="nofollow">3.3。内存管理</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/45.md" rel="nofollow">3.4。编写设备功能</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/46.md" rel="nofollow">3.5。 CUDA Python 中支持的 Python 功能</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/47.md" rel="nofollow">3.6。支持的原子操作</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/48.md" rel="nofollow">3.7。随机数生成</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/49.md" rel="nofollow">3.8。设备管理</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/50.md" rel="nofollow">3.10。示例</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/51.md" rel="nofollow">3.11。使用 CUDA 模拟器 调试 CUDA Python</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/52.md" rel="nofollow">3.12。 GPU 减少</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/53.md" rel="nofollow">3.13。 CUDA Ufuncs 和广义 Ufuncs</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/54.md" rel="nofollow">3.14。共享 CUDA 内存</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/55.md" rel="nofollow">3.15。 CUDA 阵列接口</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/56.md" rel="nofollow">3.16。 CUDA 常见问题</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/57.md" rel="nofollow">4. CUDA Python 参考</a></td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/58.md" rel="nofollow">4.1。 CUDA 主机 API</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/59.md" rel="nofollow">4.2。 CUDA 内核 API</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/60.md" rel="nofollow">4.3。内存管理</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/61.md" rel="nofollow">5. 用于 AMD ROC GPU 的 Numba</a></td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/62.md" rel="nofollow">5.1。概述</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/63.md" rel="nofollow">5.2。编写 HSA 内核</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/64.md" rel="nofollow">5.3。内存管理</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/65.md" rel="nofollow">5.4。编写设备功能</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/66.md" rel="nofollow">5.5。支持的原子操作</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/67.md" rel="nofollow">5.6。代理商</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/68.md" rel="nofollow">5.7。 ROC Ufuncs 和广义 Ufuncs</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/69.md" rel="nofollow">5.8。示例</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/70.md" rel="nofollow">6. 扩展 Numba</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/71.md" rel="nofollow">6.1。高级扩展 API</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/72.md" rel="nofollow">6.2。低级扩展 API</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/73.md" rel="nofollow">6.3。示例：间隔类型</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/74.md" rel="nofollow">7. 开发者手册</a></td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/75.md" rel="nofollow">7.1。贡献给 Numba</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/76.md" rel="nofollow">7.2。 Numba 建筑</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/77.md" rel="nofollow">7.3。多态调度</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/78.md" rel="nofollow">7.4。关于发电机的注意事项</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/79.md" rel="nofollow">7.5。关于 Numba Runtime 的注意事项</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/80.md" rel="nofollow">7.6。使用 Numba Rewrite Pass 获得乐趣和优化</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/81.md" rel="nofollow">7.7。实时变量分析</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/82.md" rel="nofollow">7.8。上市</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/83.md" rel="nofollow">7.9。模板注释</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/84.md" rel="nofollow">7.10。关于自定义管道的注意事项</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/85.md" rel="nofollow">7.11。环境对象</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/86.md" rel="nofollow">7.12。哈希 的注意事项</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/87.md" rel="nofollow">7.13。 Numba 项目路线图</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/88.md" rel="nofollow">8. Numba 增强建议</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/numba-doc-zh/blob/master/docs/89.md" rel="nofollow">9. 术语表</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
 </tbody> 
</table>

### **Scrapy 1.6 中文文档【校对】** ###

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

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

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

认领：1/44，翻译：1/44

<table> 
 <thead> 
  <tr> 
   <th>章节</th> 
   <th>校对者</th> 
   <th>进度</th> 
  </tr> 
 </thead> 
 <tbody> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/index.md" rel="nofollow">简介</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/3.md" rel="nofollow">Scrapy at a glance</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/4.md" rel="nofollow">安装指南</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/5.md" rel="nofollow">Scrapy 教程</a></td> 
   <td>@jiez1812</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/6.md" rel="nofollow">实例</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/8.md" rel="nofollow">命令行工具</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/9.md" rel="nofollow">Spider</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/10.md" rel="nofollow">选择器</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/11.md" rel="nofollow">项目</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/12.md" rel="nofollow">项目加载器</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/13.md" rel="nofollow">Scrapy shell</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/14.md" rel="nofollow">项目管道</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/15.md" rel="nofollow">Feed 导出</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/16.md" rel="nofollow">请求和响应</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/17.md" rel="nofollow">链接提取器</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/18.md" rel="nofollow">设置</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/19.md" rel="nofollow">例外情况</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/21.md" rel="nofollow">Logging</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/22.md" rel="nofollow">统计数据集合</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/23.md" rel="nofollow">发送电子邮件</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/24.md" rel="nofollow">远程登录控制台</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/25.md" rel="nofollow">Web服务</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/27.md" rel="nofollow">常见问题</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/28.md" rel="nofollow">调试spiders</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/29.md" rel="nofollow">Spider 合约</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/30.md" rel="nofollow">常用做法</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/31.md" rel="nofollow">通用爬虫</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/32.md" rel="nofollow">使用浏览器的开发人员工具进行抓取</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/33.md" rel="nofollow">调试内存泄漏</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/34.md" rel="nofollow">下载和处理文件和图像</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/35.md" rel="nofollow">部署 Spider</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/36.md" rel="nofollow">AutoThrottle 扩展</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/37.md" rel="nofollow">Benchmarking</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/38.md" rel="nofollow">作业：暂停和恢复爬行</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/40.md" rel="nofollow">体系结构概述</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/41.md" rel="nofollow">下载器中间件</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/42.md" rel="nofollow">Spider 中间件</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/43.md" rel="nofollow">扩展</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/44.md" rel="nofollow">核心API</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/45.md" rel="nofollow">信号</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/46.md" rel="nofollow">条目导出器</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/48.md" rel="nofollow">发行说明</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/49.md" rel="nofollow">为 Scrapy 贡献</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/scrapy-doc-zh/blob/master/docs/50.md" rel="nofollow">版本控制和API稳定性</a></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：36/42，校对：33/42

<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>@YouWillBe</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>@huangzijian888</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>@t532</td> 
   <td>100%</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>@t532</td> 
   <td>100%</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>@kj415j45</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>@lq920320</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>@lq920320</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>@lq920320</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>@so-hard</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>@so-hard</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>@lq920320</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>@wizardforcel</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>@wizardforcel</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>@wizardforcel</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>@wizardforcel</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/impatient-js-zh/tree/master/docs/20.md" rel="nofollow">16. <code>Math</code></a></td> 
   <td>@wizardforcel</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>@wizardforcel</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>@wizardforcel</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>@wizardforcel</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>@wizardforcel</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>@wizardforcel</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>@t532</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>@t532</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>@t532</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>@lq920320</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>@lq920320</td> 
   <td>100%</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>@52admln</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>@so-hard</td> 
   <td>100%</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>@liuyepiaoxiang</td> 
   <td>100%</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>@Kavelaa</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>@Kavelaa</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>@iChrisJ</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>@iChrisJ</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>@iChrisJ</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>@facebesidewyj</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></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>@wizardforcel</td> 
   <td>100%</td> 
  </tr> 
 </tbody> 
</table>

### **seaborn 0.9 中文文档【翻译】** ###

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：74/74，翻译：71/74

<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>@cancan233</td> 
   <td>100%</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>100%</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>@leijuzi</td> 
   <td>100%</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>@cancan233</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>100%</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>100%</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>100%</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>@cancan233</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>@cancan233</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>100%</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>100%</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>100%</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>100%</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>100%</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>100%</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>@Yet-sun</td> 
   <td>100%</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>@Yet-sun</td> 
   <td>100%</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>@Yet-sun</td> 
   <td>100%</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>@Yet-sun</td> 
   <td>100%</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>100%</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>100%</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>100%</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>@cancan233</td> 
   <td>100%</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>@cancan233</td> 
   <td>100%</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>@cancan233</td> 
   <td>100%</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>@cancan233</td> 
   <td>100%</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>@cancan233</td> 
   <td>100%</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：13/80，校对：13/80

<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></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>100%</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：14/31，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></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></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></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/19.md" rel="nofollow">Apache HBase Performance Tuning</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/20.md" rel="nofollow">Troubleshooting and Debugging Apache HBase</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/21.md" rel="nofollow">Apache HBase Case Studies</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/22.md" rel="nofollow">Apache HBase Operational Management</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/23.md" rel="nofollow">Building and Developing Apache HBase</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/24.md" rel="nofollow">Unit Testing HBase Applications</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/25.md" rel="nofollow">Protobuf in HBase</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/26.md" rel="nofollow">Procedure Framework (Pv2): HBASE-12439</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/27.md" rel="nofollow">AMv2 Description for Devs</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/28.md" rel="nofollow">ZooKeeper</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/29.md" rel="nofollow">Community</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/hbase-doc-zh/blob/master/docs/30.md" rel="nofollow">Appendix</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
 </tbody> 
</table>

### **UCB Prob140：面向数据科学的概率论【翻译】** ###

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：23/28，翻译：23/28

<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>-</td> 
  </tr> 
  <tr> 
   <td>5.1 ~5.3</td> 
   <td>@PEGASUS1993</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>5.4</td> 
   <td></td> 
   <td></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>-</td> 
  </tr> 
  <tr> 
   <td>8.1 ~ 8.2</td> 
   <td>@PEGASUS1993</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>8.3</td> 
   <td></td> 
   <td></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></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>十六、变换</td> 
   <td>@hellozhaihy</td> 
   <td>100%</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>-</td> 
  </tr> 
  <tr> 
   <td>22.1</td> 
   <td>@lvzhetx</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>22.2 ~ 22.4</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>二十三、联合正态随机变量</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>二十四、简单线性回归</td> 
   <td>@ThomasCai</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>二十五、多元回归</td> 
   <td>@lanhaixuan</td> 
   <td>100%</td> 
  </tr> 
 </tbody> 
</table>

### **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

认领：18/64，校对：17/64

<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>@ElmaDavies</td> 
   <td>100%</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>@ElmaDavies</td> 
   <td>100%</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>@ElmaDavies</td> 
   <td>100%</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>@Lnssssss</td> 
   <td>100%</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>@ElmaDavies</td> 
   <td>100%</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>@Lnssssss</td> 
   <td>100%</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>@ElmaDavies</td> 
   <td>100%</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>@Lnssssss</td> 
   <td>100%</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>@Lnssssss</td> 
   <td>100%</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>@ElmaDavies</td> 
   <td>100%</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>@Lnssssss</td> 
   <td>100%</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>@ElmaDavies</td> 
   <td>100%</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>@Lnssssss</td> 
   <td>100%</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>@ElmaDavies</td> 
   <td>100%</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>@Lnssssss</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 中深度学习模型的性能</a></td> 
   <td>@ElmaDavies</td> 
   <td>100%</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>@tabeworks</td> 
   <td>100%</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>@tabeworks</td> 
   <td>100%</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【校对】** ###

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

认领：33/85，校对：22/85

<table> 
 <thead> 
  <tr> 
   <th>章节</th> 
   <th>校验者</th> 
   <th>进度</th> 
  </tr> 
 </thead> 
 <tbody> 
  <tr> 
   <td>教程部分</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/deep_learning_60min_blitz.md" rel="nofollow">Deep Learning with PyTorch: A 60 Minute Blitz</a></td> 
   <td><a href="https://github.com/FontTian" rel="nofollow">@FontTian</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/blitz_tensor_tutorial.md" rel="nofollow">What is PyTorch?</a></td> 
   <td><a href="https://github.com/FontTian" rel="nofollow">@FontTian</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/blitz_autograd_tutorial.md" rel="nofollow">Autograd: Automatic Differentiation</a></td> 
   <td><a href="https://github.com/FontTian" rel="nofollow">@FontTian</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/blitz_neural_networks_tutorial.md" rel="nofollow">Neural Networks</a></td> 
   <td><a href="https://github.com/FontTian" rel="nofollow">@FontTian</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/blitz_cifar10_tutorial.md" rel="nofollow">Training a Classifier</a></td> 
   <td><a href="https://github.com/FontTian" rel="nofollow">@FontTian</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/blitz_data_parallel_tutorial.md" rel="nofollow">Optional: Data Parallelism</a></td> 
   <td><a href="https://github.com/FontTian" rel="nofollow">@FontTian</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/data_loading_tutorial.md" rel="nofollow">Data Loading and Processing Tutorial</a></td> 
   <td><a href="https://github.com/dyywinner" rel="nofollow">@dyywinner</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/pytorch_with_examples.md" rel="nofollow">Learning PyTorch with Examples</a></td> 
   <td><a href="https://github.com/wulongjian" rel="nofollow">@wulongjian</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><a href="https://github.com/infdahai" rel="nofollow">@infdahai</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/deploy_seq2seq_hybrid_frontend_tutorial.md" rel="nofollow">Deploying a Seq2Seq Model with the Hybrid Frontend</a></td> 
   <td><a href="https://github.com/FontTian" rel="nofollow">@FontTian</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/saving_loading_models.md" rel="nofollow">Saving and Loading Models</a></td> 
   <td><a href="https://github.com/luxinfeng" rel="nofollow">@luxinfeng</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><a href="https://github.com/luxinfeng" rel="nofollow">@luxinfeng</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><a href="https://github.com/luxinfeng" rel="nofollow">@luxinfeng</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> 
   <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><a href="https://github.com/AllenZYJ" rel="nofollow">@AllenZYJ</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> 
   <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> 
   <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><a href="https://github.com/jiangzhonglian" rel="nofollow">@jiangzhonglian</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/char_rnn_generation_tutorial.md" rel="nofollow">Generating Names with a Character-Level RNN</a></td> 
   <td><a href="https://github.com/hijkzzz" rel="nofollow">@hijkzzz</a></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><a href="https://github.com/hijkzzz" rel="nofollow">@hijkzzz</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><a href="https://github.com/FontTian" rel="nofollow">@FontTian</a></td> 
   <td>100%</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><a href="https://github.com/FontTian" rel="nofollow">@FontTian</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/nlp_deep_learning_tutorial.md" rel="nofollow">Deep Learning with PyTorch</a></td> 
   <td><a href="https://github.com/FontTian" rel="nofollow">@FontTian</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/nlp_word_embeddings_tutorial.md" rel="nofollow">Word Embeddings: Encoding Lexical Semantics</a></td> 
   <td></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><a href="https://github.com/FontTian" rel="nofollow">@FontTian</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/nlp_advanced_tutorial.md" rel="nofollow">Advanced: Making Dynamic Decisions and the Bi-LSTM CRF</a></td> 
   <td><a href="https://github.com/enningxie" rel="nofollow">@enningxie</a></td> 
   <td>100%</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><a href="https://github.com/FontTian" rel="nofollow">@FontTian</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/dcgan_faces_tutorial.md" rel="nofollow">DCGAN Tutorial</a></td> 
   <td><a href="https://github.com/jiangzhonglian" rel="nofollow">@jiangzhonglian</a></td> 
   <td>100%</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> 
   <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><a href="https://github.com/FontTian" rel="nofollow">@FontTian</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/cpp_extension.md" rel="nofollow">Custom C++ and CUDA Extensions</a></td> 
   <td></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> 
   <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> 
   <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> 
   <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> 
   <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> 
   <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> 
   <td></td> 
  </tr> 
  <tr> 
   <td>文档部分</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/notes_autograd.md" rel="nofollow">Autograd mechanics</a></td> 
   <td><a href="https://github.com/AlexJakin" rel="nofollow">@AlexJakin</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/notes_broadcasting.md" rel="nofollow">Broadcasting semantics</a></td> 
   <td><a href="https://github.com/AlexJakin" rel="nofollow">@AlexJakin</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/notes_cuda.md" rel="nofollow">CUDA semantics</a></td> 
   <td><a href="https://github.com/AlexJakin" rel="nofollow">@AlexJakin</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> 
   <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> 
   <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> 
   <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><a href="https://github.com/bruce1408" rel="nofollow">@bruce1408</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> 
   <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> 
   <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> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torch_tensors.md" rel="nofollow">Tensors</a></td> 
   <td><a href="https://github.com/dyywinner" rel="nofollow">@dyywinner</a></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torch_random_sampling.md" rel="nofollow">Random sampling</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torch_serialization_parallelism_utilities.md" rel="nofollow">Serialization, Parallelism, Utilities</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torch_math_operations_pointwise_ops.md" rel="nofollow">Pointwise Ops</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torch_math_operations_reduction_ops.md" rel="nofollow">Reduction Ops</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torch_math_operations_comparison_ops.md" rel="nofollow">Comparison Ops</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torch_math_operations_spectral_ops.md" rel="nofollow">Spectral Ops</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torch_math_operations_other_ops.md" rel="nofollow">Other Operations</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torch_math_operations_blas_lapack_ops.md" rel="nofollow">BLAS and LAPACK Operations</a></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></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> 
   <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> 
   <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> 
   <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> 
   <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> 
   <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> 
   <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><a href="https://github.com/Originval" rel="nofollow">@Originval</a></td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/nn_init.md" rel="nofollow">torch.nn.init</a></td> 
   <td><a href="https://github.com/dyywinner" rel="nofollow">@dyywinner</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><a href="https://github.com/zonasw" rel="nofollow">@zonasw</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> 
   <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> 
   <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> 
   <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> 
   <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> 
   <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> 
   <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> 
   <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> 
   <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> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/dlpack.md" rel="nofollow">torch.utils.dlpack</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/hub.md" rel="nofollow">torch.hub</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/model_zoo.md" rel="nofollow">torch.utils.model_zoo</a></td> 
   <td></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> 
   <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> 
   <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> 
   <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> 
   <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> 
   <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> 
   <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> 
   <td></td> 
  </tr> 
 </tbody> 
</table>

### **Sklearn 0.21 中文文档【校对】** ###

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

整体进度：https://github.com/apachecn/sklearn-doc-zh/issues/352

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

认领：24/72，校对：20/72

<table> 
 <thead> 
  <tr> 
   <th>章节</th> 
   <th>校验者</th> 
   <th>进度</th> 
  </tr> 
 </thead> 
 <tbody> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/62.md" rel="nofollow">安装 scikit-learn</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>用户指南</td> 
   <td>-</td> 
   <td>-</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/1.md" rel="nofollow">1. 监督学习</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/2.md" rel="nofollow">1.1. 广义线性模型</a></td> 
   <td>@qinhanmin2014</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/3.md" rel="nofollow">1.2. 线性和二次判别分析</a></td> 
   <td>@VPrincekin</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/4.md" rel="nofollow">1.3. 内核岭回归</a></td> 
   <td>@qinhanmin2014</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/5.md" rel="nofollow">1.4. 支持向量机</a></td> 
   <td>@qinhanmin2014</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/6.md" rel="nofollow">1.5. 随机梯度下降</a></td> 
   <td>@qinhanmin2014</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/7.md" rel="nofollow">1.6. 最近邻</a></td> 
   <td>@qinhanmin2014</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/8.md" rel="nofollow">1.7. 高斯过程</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/9.md" rel="nofollow">1.8. 交叉分解</a></td> 
   <td>@qinhanmin2014</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/10.md" rel="nofollow">1.9. 朴素贝叶斯</a></td> 
   <td>@qinhanmin2014</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/11.md" rel="nofollow">1.10. 决策树</a></td> 
   <td>@ReneeGithub</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/12.md" rel="nofollow">1.11. 集成方法</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/13.md" rel="nofollow">1.12. 多类和多标签算法</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/14.md" rel="nofollow">1.13. 特征选择</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/15.md" rel="nofollow">1.14. 半监督学习</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/16.md" rel="nofollow">1.15. 等式回归</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/17.md" rel="nofollow">1.16. 概率校准</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/18.md" rel="nofollow">1.17. 神经网络模型（有监督）</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/19.md" rel="nofollow">2. 无监督学习</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/20.md" rel="nofollow">2.1. 高斯混合模型</a></td> 
   <td>@barrycg</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/21.md" rel="nofollow">2.2. 流形学习</a></td> 
   <td>@barrycg</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/22.md" rel="nofollow">2.3. 聚类</a></td> 
   <td>@barrycg</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/23.md" rel="nofollow">2.4. 双聚类</a></td> 
   <td>@barrycg</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/24.md" rel="nofollow">2.5. 分解成分中的信号（矩阵分解问题）</a></td> 
   <td>@barrycg</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/25.md" rel="nofollow">2.6. 协方差估计</a></td> 
   <td>@barrycg</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/26.md" rel="nofollow">2.7. 新奇和异常值检测</a></td> 
   <td>@barrycg</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/27.md" rel="nofollow">2.8. 密度估计</a></td> 
   <td>@barrycg</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/28.md" rel="nofollow">2.9. 神经网络模型（无监督）</a></td> 
   <td>@barrycg</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/29.md" rel="nofollow">3. 模型选择和评估</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/30.md" rel="nofollow">3.1. 交叉验证：评估估算器的表现</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/31.md" rel="nofollow">3.2. 调整估计器的超参数</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/32.md" rel="nofollow">3.3. 模型评估: 量化预测的质量</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/33.md" rel="nofollow">3.4. 模型持久化</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/34.md" rel="nofollow">3.5. 验证曲线: 绘制分数以评估模型</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/35.md" rel="nofollow">4. 检验</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/36.md" rel="nofollow">4.1. 部分依赖图</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/37.md" rel="nofollow">5. 数据集转换</a></td> 
   <td>@VPrincekin</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/38.md" rel="nofollow">5.1. Pipeline（管道）和 FeatureUnion（特征联合）: 合并的评估器</a></td> 
   <td>@VPrincekin</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/39.md" rel="nofollow">5.2. 特征提取</a></td> 
   <td>@VPrincekin</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/40.md" rel="nofollow">5.3 预处理数据</a></td> 
   <td>@VPrincekin</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/41.md" rel="nofollow">5.4 缺失值插补</a></td> 
   <td>@VPrincekin</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/42.md" rel="nofollow">5.5. 无监督降维</a></td> 
   <td>@VPrincekin</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/43.md" rel="nofollow">5.6. 随机投影</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/44.md" rel="nofollow">5.7. 内核近似</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/45.md" rel="nofollow">5.8. 成对的矩阵, 类别和核函数</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/46.md" rel="nofollow">5.9. 预测目标 (<code>y</code>) 的转换</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/47.md" rel="nofollow">6. 数据集加载工具</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/47.md" rel="nofollow">6.1. 通用数据集 API</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/47.md" rel="nofollow">6.2. 玩具数据集</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/47.md" rel="nofollow">6.3 真实世界中的数据集</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/47.md" rel="nofollow">6.4. 样本生成器</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/47.md" rel="nofollow">6.5. 加载其他数据集</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/48.md" rel="nofollow">7. 使用scikit-learn计算</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/48.md" rel="nofollow">7.1. 大规模计算的策略: 更大量的数据</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/48.md" rel="nofollow">7.2. 计算性能</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/48.md" rel="nofollow">7.3. 并行性、资源管理和配置</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/50.md" rel="nofollow">教程</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/51.md" rel="nofollow">使用 scikit-learn 介绍机器学习</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/52.md" rel="nofollow">关于科学数据处理的统计学习教程</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/53.md" rel="nofollow">机器学习: scikit-learn 中的设置以及预估对象</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/54.md" rel="nofollow">监督学习：从高维观察预测输出变量</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/55.md" rel="nofollow">模型选择：选择估计量及其参数</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/56.md" rel="nofollow">无监督学习: 寻求数据表示</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/57.md" rel="nofollow">把它们放在一起</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/58.md" rel="nofollow">寻求帮助</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/59.md" rel="nofollow">处理文本数据</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/60.md" rel="nofollow">选择正确的评估器(estimator.md)</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/61.md" rel="nofollow">外部资源，视频和谈话</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://scikit-learn.org/stable/modules/classes.html" rel="nofollow">API 参考</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/63.md" rel="nofollow">常见问题</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/64.md" rel="nofollow">时光轴</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
 </tbody> 
</table>

### UCB CS61b：Java 中的数据结构【翻译】 ###

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：11/12，翻译：11/12

<table> 
 <thead> 
  <tr> 
   <th>标题</th> 
   <th>译者</th> 
   <th>进度</th> 
  </tr> 
 </thead> 
 <tbody> 
  <tr> 
   <td>一、算法复杂度</td> 
   <td>@leader402</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>二、抽象数据类型</td> 
   <td>@Allenyep</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>三、满足规范</td> 
   <td>@renyuhuiharrison</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>四、序列和它们的实现</td> 
   <td>@biubiubiuboomboomboom</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>五、树</td> 
   <td>@biubiubiuboomboomboom</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>六、搜索树</td> 
   <td>@yongfengyan</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>七、哈希</td> 
   <td>@Abel-Huang</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>八、排序和选择</td> 
   <td>@Rachel-Hu</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>九、平衡搜索</td> 
   <td>@Abel-Huang</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>十、并发和同步</td> 
   <td>@Ruffianjiang</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td>十一、伪随机序列</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>十二、图</td> 
   <td>@yuanrw</td> 
   <td>100%</td> 
  </tr> 
 </tbody> 
</table>

## **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：9/20，整理：8/20

<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>100%</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>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://www.bilibili.com/video/av46216519/?p=4" rel="nofollow">Lecture 4</a></td> 
   <td>@ZSIRS</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://www.bilibili.com/video/av46216519/?p=5" rel="nofollow">Lecture 5</a></td> 
   <td>@ZSIRS</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://www.bilibili.com/video/av46216519/?p=6" rel="nofollow">Lecture 6</a></td> 
   <td>@ZSIRS</td> 
   <td>100%</td> 
  </tr> 
  <tr> 
   <td><a href="https://www.bilibili.com/video/av46216519/?p=7" rel="nofollow">Lecture 7</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://www.bilibili.com/video/av46216519/?p=8" rel="nofollow">Lecture 8</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://www.bilibili.com/video/av46216519/?p=9" rel="nofollow">Lecture 9</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://www.bilibili.com/video/av46216519/?p=10" rel="nofollow">Lecture 10</a></td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td><a href="https://www.bilibili.com/video/av46216519/?p=11" rel="nofollow">Lecture 11</a></td> 
   <td>@Originval</td> 
   <td>100%</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>100%</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>100%</td> 
  </tr> 
 </tbody> 
</table>

### **斯坦福博弈论** ###

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

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

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

认领：7/33，整理：0/33

<table> 
 <thead> 
  <tr> 
   <th>章节</th> 
   <th>贡献者</th> 
   <th>进度</th> 
  </tr> 
 </thead> 
 <tbody> 
  <tr> 
   <td>Game Theory I week 1</td> 
   <td>@sorrowyn</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory I week 2</td> 
   <td>@LINXH9898</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory I week 3</td> 
   <td>@LINXH9898</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory I week 4</td> 
   <td>@LINXH9898</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory I week 5</td> 
   <td>@LINXH9898</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory I week 6</td> 
   <td>@LINXH9898</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory I week 7</td> 
   <td>@LINXH9898</td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory II week 1 Social Choice: Taste</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory II week 1 Social Choice: Voting Schemes</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory II week 1 Social Choice: Paradoxical Outcomes</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory II week 1 Social Choice: Impossibility of Non-Paradoxical Social Welfare Functions</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory II week 1 Social Choice: Arrow’s Theorem</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory II week 1 Impossible of Non-paradoxical Social Choice Functions</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory II week 1 Single-Peaked Preferences</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory II week 2 Mechanism Design: Taste</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory II week 2 Mechanism Design: Implementation</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory II week 2 Revelation Principle</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory II week 2 Impossibility of General, Dominant-Strategy Implementation</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory II week 2 Transferable Utility</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory II week 2 Mechanism Design as an Optimization Problem</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory II week 3 VCG: Taste</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory II week 3 Vickrey-Clarke-Groves Mechanisms: Definitions</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory II week 3 VCG Example</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory II week 3 Limitations of VCG</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory II week 3 Individual Rationality and Budget Balance in VCG</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory II week 3 Myerson-Satterthwaite Theorem</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory II week 4 Auctions: Taste</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory II week 4 Auctions: Taxonomy</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory II week 4 Bidding in Second-Price Auctions</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory II week 4 Bidding in First-Price Auctions</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory II week 4 Revenue Equivalence</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory II week 4 Optimal Auctions</td> 
   <td></td> 
   <td></td> 
  </tr> 
  <tr> 
   <td>Game Theory II week 4 More Advanced Auctions</td> 
   <td></td> 
   <td></td> 
  </tr> 
 </tbody> 
</table>

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