我们是一个大型开源社区，旗下 QQ 群共 9000 余人，Github Star 数量超过 20k 个，网站日 uip 超过 4k，拥有 CSDN 博客专家和简书程序员优秀作者认证。我们组织公益性的翻译活动、学习活动和比赛组队活动，并和 DataWhale、LinuxStory 等国内著名开源组织保持良好的合作关系。
与商业组织不同，我们并不会追逐热点，或者唯利是图。作为公益组织，我们将完成项目放在首要位置，并有足够时间把项目打磨到极致。我们希望做出广大 AI 爱好者真正需要的东西，打造真正有价值的长尾作品。
- 【主页】 apachecn.org
- 【Github】@ApacheCN
- 暂时下线: 社区
- 暂时下线: cwiki 知识库
-
自媒体平台
- 微博：@ApacheCN
- 知乎：@ApacheCN
- CSDN | 简书 | OSChina | 博客园
- 头条号 | 搜狐号 | bilibili 专栏
- We are ApacheCN Open Source Organization, not ASF! We are fans of AI, and have no relationship with ASF!
- 合作or侵权，请联系【fonttian】
seaborn 0.9 中文文档
参与方式：https://github.com/apachecn/s...
整体进度：https://github.com/apachecn/s...
项目仓库：https://github.com/apachecn/s...
认领：8/74，翻译：4/74
| 序号 | 章节 | 译者 | 进度 | |
|---|---|---|---|---|
| 1 | An introduction to seaborn | @yiran7324 | 100% | |
| 2 | Installing and getting started | @neolei | 100% | |
| 3 | Visualizing statistical relationships | @JNJYan | 100% | |
| 4 | Plotting with categorical data | @hold2010 | ||
| 5 | Visualizing the distribution of a dataset | @alohahahaha | 100% | |
| 6 | Visualizing linear relationships | @friedhelm739 | ||
| 7 | Building structured multi-plot grids | @keyianpai | ||
| 8 | Controlling figure aesthetics | |||
| 9 | Choosing color palettes | |||
| 10 | seaborn.relplot | |||
| 11 | seaborn.scatterplot | |||
| 12 | seaborn.lineplot | |||
| 13 | seaborn.catplot | |||
| 14 | seaborn.stripplot | |||
| 15 | seaborn.swarmplot | |||
| 16 | seaborn.boxplot | |||
| 17 | seaborn.violinplot | |||
| 18 | seaborn.boxenplot | |||
| 19 | seaborn.pointplot | |||
| 20 | seaborn.barplot | @melon-bun | ||
| 21 | seaborn.countplot | |||
| 22 | seaborn.jointplot | |||
| 23 | seaborn.pairplot | |||
| 24 | seaborn.distplot | |||
| 25 | seaborn.kdeplot | |||
| 26 | seaborn.rugplot | |||
| 27 | seaborn.lmplot | |||
| 28 | seaborn.regplot | |||
| 29 | seaborn.residplot | |||
| 30 | seaborn.heatmap | |||
| 31 | seaborn.clustermap | |||
| 32 | seaborn.FacetGrid | |||
| 33 | seaborn.FacetGrid.map | |||
| 34 | seaborn.FacetGrid.map_dataframe | |||
| 35 | seaborn.PairGrid | |||
| 36 | seaborn.PairGrid.map | |||
| 37 | seaborn.PairGrid.map_diag | |||
| 38 | seaborn.PairGrid.map_offdiag | |||
| 39 | seaborn.PairGrid.map_lower | |||
| 40 | seaborn.PairGrid.map_upper | |||
| 41 | seaborn.JointGrid | |||
| 42 | seaborn.JointGrid.plot | |||
| 43 | seaborn.JointGrid.plot_joint | |||
| 44 | seaborn.JointGrid.plot_marginals | |||
| 45 | seaborn.set | |||
| 46 | seaborn.axes_style | |||
| 47 | seaborn.set_style | |||
| 48 | seaborn.plotting_context | |||
| 49 | seaborn.set_context | |||
| 50 | seaborn.set_color_codes | |||
| 51 | seaborn.reset_defaults | |||
| 52 | seaborn.reset_orig | |||
| 53 | seaborn.set_palette | |||
| 54 | seaborn.color_palette | |||
| 55 | seaborn.husl_palette | |||
| 56 | seaborn.hls_palette | |||
| 57 | seaborn.cubehelix_palette | |||
| 58 | seaborn.dark_palette | |||
| 59 | seaborn.light_palette | |||
| 60 | seaborn.diverging_palette | |||
| 61 | seaborn.blend_palette | |||
| 62 | seaborn.xkcd_palette | |||
| 63 | seaborn.crayon_palette | |||
| 64 | seaborn.mpl_palette | |||
| 65 | seaborn.choose_colorbrewer_palette | |||
| 66 | seaborn.choose_cubehelix_palette | |||
| 67 | seaborn.choose_light_palette | |||
| 68 | seaborn.choose_dark_palette | |||
| 69 | seaborn.choose_diverging_palette | |||
| 70 | seaborn.load_dataset | |||
| 71 | seaborn.despine | |||
| 72 | seaborn.desaturate | |||
| 73 | seaborn.saturate | |||
| 74 | seaborn.set_hls_values |
HBase 3.0 中文参考指南
参与方式：https://github.com/apachecn/h...
整体进度：https://github.com/apachecn/h...
项目仓库：https://github.com/apachecn/h...
认领：18/31，校对：11/31
| 章节 | 贡献者 | 进度 |
|---|---|---|
| Preface | @xixici | 100% |
| Getting Started | @xixici | 100% |
| Apache HBase Configuration | @xixici | 100% |
| Upgrading | @xixici | 100% |
| The Apache HBase Shell | @xixici | 100% |
| Data Model | @Winchester-Yi | |
| HBase and Schema Design | @RaymondCode | 100% |
| RegionServer Sizing Rules of Thumb | ||
| HBase and MapReduce | @BridgetLai | 100% |
| Securing Apache HBase | ||
| Architecture | @RaymondCode | |
| In-memory Compaction | @mychaow | |
| Backup and Restore | @mychaow | |
| Synchronous Replication | @mychaow | |
| Apache HBase APIs | @xixici | 100% |
| Apache HBase External APIs | @xixici | 100% |
| Thrift API and Filter Language | @xixici | 100% |
| HBase and Spark | @TsingJyujing | 100% |
| Apache HBase Coprocessors | @TsingJyujing | |
| Apache HBase Performance Tuning | ||
| Troubleshooting and Debugging Apache HBase | ||
| Apache HBase Case Studies | ||
| Apache HBase Operational Management | ||
| Building and Developing Apache HBase | ||
| Unit Testing HBase Applications | ||
| Protobuf in HBase | @TsingJyujing | |
| Procedure Framework (Pv2): HBASE-12439 | ||
| AMv2 Description for Devs | ||
| ZooKeeper | ||
| Community | ||
| Appendix |
PyTorch 1.0 中文文档
参与方式：https://github.com/apachecn/p...
整体进度：https://github.com/apachecn/p...
项目仓库：https://github.com/apachecn/p...
教程部分：认领：37/37，翻译：34/37；文档部分：认领：38/39，翻译：34/39
| 章节 | 贡献者 | 进度 |
|---|---|---|
| 教程部分 | - | - |
| Deep Learning with PyTorch: A 60 Minute Blitz | @bat67 | 100% |
| What is PyTorch? | @bat67 | 100% |
| Autograd: Automatic Differentiation | @bat67 | 100% |
| Neural Networks | @bat67 | 100% |
| Training a Classifier | @bat67 | 100% |
| Optional: Data Parallelism | @bat67 | 100% |
| Data Loading and Processing Tutorial | @yportne13 | 100% |
| Learning PyTorch with Examples | @bat67 | 100% |
| Transfer Learning Tutorial | @jiangzhonglian | 100% |
| Deploying a Seq2Seq Model with the Hybrid Frontend | @cangyunye | 100% |
| Saving and Loading Models | @bruce1408 | 100% |
| What is torch.nn really? | @lhc741 | 100% |
| Finetuning Torchvision Models | @ZHHAYO | 100% |
| Spatial Transformer Networks Tutorial | @PEGASUS1993 | 100% |
| Neural Transfer Using PyTorch | @bdqfork | 100% |
| Adversarial Example Generation | @cangyunye | 100% |
| Transfering a Model from PyTorch to Caffe2 and Mobile using ONNX | @PEGASUS1993 | 100% |
| Chatbot Tutorial | @a625687551 | 100% |
| Generating Names with a Character-Level RNN | @hhxx2015 | 100% |
| Classifying Names with a Character-Level RNN | @hhxx2015 | 100% |
| Deep Learning for NLP with Pytorch | @bruce1408 | 100% |
| Introduction to PyTorch | @guobaoyo | 100% |
| Deep Learning with PyTorch | @bdqfork | 100% |
| Word Embeddings: Encoding Lexical Semantics | @sight007 | 100% |
| Sequence Models and Long-Short Term Memory Networks | @ETCartman | 100% |
| Advanced: Making Dynamic Decisions and the Bi-LSTM CRF | @JohnJiangLA | |
| Translation with a Sequence to Sequence Network and Attention | @mengfu188 | 100% |
| DCGAN Tutorial | @wangshuai9517 | 100% |
| Reinforcement Learning (DQN) Tutorial | @friedhelm739 | 100% |
| Creating Extensions Using numpy and scipy | @cangyunye | 100% |
| Custom C++ and CUDA Extensions | @Lotayou | |
| Extending TorchScript with Custom C++ Operators | @cloudyyyyy | |
| Writing Distributed Applications with PyTorch | @firdameng | 100% |
| PyTorch 1.0 Distributed Trainer with Amazon AWS | @yportne13 | 100% |
| ONNX Live Tutorial | @PEGASUS1993 | 100% |
| Loading a PyTorch Model in C++ | @talengu | 100% |
| Using the PyTorch C++ Frontend | @solerji | 100% |
| 文档部分 | - | - |
| Autograd mechanics | @PEGASUS1993 | 100% |
| Broadcasting semantics | @PEGASUS1993 | 100% |
| CUDA semantics | @jiangzhonglian | 100% |
| Extending PyTorch | @PEGASUS1993 | 100% |
| Frequently Asked Questions | @PEGASUS1993 | 100% |
| Multiprocessing best practices | @cvley | 100% |
| Reproducibility | @WyattHuang1 | |
| Serialization semantics | @yuange250 | 100% |
| Windows FAQ | @PEGASUS1993 | 100% |
| torch | @yiran7324 | |
| torch.Tensor | @hijkzzz | 100% |
| Tensor Attributes | @yuange250 | 100% |
| Type Info | @PEGASUS1993 | 100% |
| torch.sparse | @hijkzzz | 100% |
| torch.cuda | @bdqfork | 100% |
| torch.Storage | @yuange250 | 100% |
| torch.nn | @yuange250 | |
| torch.nn.functional | @hijkzzz | 100% |
| torch.nn.init | @GeneZC | 100% |
| torch.optim | @qiaokuoyuan | |
| Automatic differentiation package - torch.autograd | @gfjiangly | 100% |
| Distributed communication package - torch.distributed | @univeryinli | 100% |
| Probability distributions - torch.distributions | @hijkzzz | 100% |
| Torch Script | @keyianpai | 100% |
| Multiprocessing package - torch.multiprocessing | @hijkzzz | 100% |
| torch.utils.bottleneck | @belonHan | 100% |
| torch.utils.checkpoint | @belonHan | 100% |
| torch.utils.cpp_extension | @belonHan | 100% |
| torch.utils.data | @BXuan694 | 100% |
| torch.utils.dlpack | @kunwuz | 100% |
| torch.hub | @kunwuz | 100% |
| torch.utils.model_zoo | @BXuan694 | 100% |
| torch.onnx | @guobaoyo | 100% |
| Distributed communication package (deprecated) - torch.distributed.deprecated | ||
| torchvision Reference | @BXuan694 | 100% |
| torchvision.datasets | @BXuan694 | 100% |
| torchvision.models | @BXuan694 | 100% |
| torchvision.transforms | @BXuan694 | 100% |
| torchvision.utils | @BXuan694 | 100% |
AirFlow 中文文档
参与方式：https://github.com/apachecn/a...
整体进度：https://github.com/apachecn/a...
项目仓库：https://github.com/apachecn/a...
认领：29/30，校对：27/30
| 章节 | 贡献者 | 进度 |
|---|---|---|
| 1 项目 | @zhongjiajie | 100% |
| 2 协议 | - | 100% |
| 3 快速开始 | @ImPerat0R_ | 100% |
| 4 安装 | @Thinking Chen | 100% |
| 5 教程 | @ImPerat0R_ | 100% |
| 6 操作指南 | @ImPerat0R_ | 100% |
| 7 设置配置选项 | @ImPerat0R_ | 100% |
| 8 初始化数据库后端 | @ImPerat0R_ | 100% |
| 9 使用操作器 | @ImPerat0R_ | 100% |
| 10 管理连接 | @ImPerat0R_ | 100% |
| 11 保护连接 | @ImPerat0R_ | 100% |
| 12 写日志 | @ImPerat0R_ | 100% |
| 13 使用Celery扩大规模 | @ImPerat0R_ | 100% |
| 14 使用Dask扩展 | @ImPerat0R_ | 100% |
| 15 使用Mesos扩展（社区贡献） | @ImPerat0R_ | 100% |
| 16 使用systemd运行Airflow | @ImPerat0R_ | 100% |
| 17 使用upstart运行Airflow | @ImPerat0R_ | 100% |
| 18 使用测试模式配置 | @ImPerat0R_ | 100% |
| 19 UI /截图 | @ImPerat0R_ | 100% |
| 20 概念 | @ImPerat0R_ | 100% |
| 21 数据分析 | @ImPerat0R_ | 100% |
| 22 命令行接口 | @ImPerat0R_ | 100% |
| 23 调度和触发器 | @Ray | 100% |
| 24 插件 | @ImPerat0R_ | 100% |
| 25 安全 | @ImPerat0R_ | 100% |
| 26 时区 | @morefreeze | 100% |
| 27 实验性 Rest API | @ImPerat0R_ | 100% |
| 28 集成 | @morefreeze | |
| 29 Lineage | @morefreeze | 100% |
| 30 常见问题 | @zhongjiajie | |
| [31 API 参考](https://github.com/apachecn/a... |
UCB CS61b：Java 中的数据结构
参与方式：https://github.com/apachecn/c...
整体进度：https://github.com/apachecn/c...
项目仓库：https://github.com/apachecn/c...
认领：5/12，翻译：1/12
| 标题 | 译者 | 进度 |
|---|---|---|
| 一、算法复杂度 | @leader402 | |
| 二、抽象数据类型 | @Allenyep | 100% |
| 三、满足规范 | ||
| 四、序列和它们的实现 | @biubiubiuboomboomboom | |
| 五、树 | @biubiubiuboomboomboom | |
| 六、搜索树 | ||
| 七、哈希 | ||
| 八、排序和选择 | @Rachel-Hu | |
| 九、平衡搜索 | ||
| 十、并发和同步 | ||
| 十一、伪随机序列 | ||
| 十二、图 |
UCB Prob140：面向数据科学的概率论
参与方式：https://github.com/apachecn/p...
整体进度：https://github.com/apachecn/p...
项目仓库：https://github.com/apachecn/p...
认领：22/25，翻译：19/25
| 标题 | 译者 | 翻译进度 |
|---|---|---|
| 一、基础 | 飞龙 | 100% |
| 二、计算几率 | 飞龙 | 100% |
| 三、随机变量 | 飞龙 | 100% |
| 四、事件之间的关系 | @biubiubiuboomboomboom | 100% |
| 五、事件集合 | >0% | |
| 六、随机计数 | @viviwong | 100% |
| 七、泊松化 | @YAOYI626 | 100% |
| 八、期望 | 50% | |
| 九、条件（续） | @YAOYI626 | 100% |
| 十、马尔科夫链 | 喵十八 | 100% |
| 十一、马尔科夫链（续） | 喵十八 | 100% |
| 十二、标准差 | 缺只萨摩 | 100% |
| 十三、方差和协方差 | 缺只萨摩 | 100% |
| 十四、中心极限定理 | 喵十八 | 100% |
| 十五、连续分布 | @ThunderboltSmile | |
| 十六、变换 | @hellozhaihy | |
| 十七、联合密度 | @Winchester-Yi | 100% |
| 十八、正态和 Gamma 族 | @Winchester-Yi | 100% |
| 十九、和的分布 | 平淡的天 | 100% |
| 二十、估计方法 | 平淡的天 | 100% |
| 二十一、Beta 和二项 | @lvzhetx | 100% |
| 二十二、预测 | 50% | |
| 二十三、联合正态随机变量 | @JUNE951234 | |
| 二十四、简单线性回归 | @ThomasCai | 100% |
| 二十五、多元回归 | @lanhaixuan | 100% |
OpenCV 4.0 中文文档
参与方式：https://github.com/apachecn/o...
整体进度：https://github.com/apachecn/o...
项目仓库：https://github.com/apachecn/o...
认领：51/51，翻译：23/51。
| 章节 | 贡献者 | 进度 |
|---|---|---|
| 1. 简介 | @wstone0011 | |
| 1.1 OpenCV-Python教程简介 | - | 100% |
| 1.2 安装OpenCV—Python | - | 100% |
| 2. GUI功能 | @ranxx | |
| 2.1 图像入门 | - | 100% |
| 2.2 视频入门 | - | 100% |
| 2.3 绘图功能 | - | 100% |
| 2.4 鼠标作为画笔 | - | 100% |
| 2.5 作为调色板的跟踪栏 | - | 100% |
| 3. 核心操作 | @luxinfeng | |
| 3.1 图像基本操作 | - | 100% |
| 3.2 图像的算术运算 | - | 100% |
| 3.3 性能测量和改进技术 | - | 100% |
| 4. 图像处理 | @friedhelm739 | |
| 4.1 更改颜色空间 | - | 100% |
| 4.2 图像的几何变换 | - | 100% |
| 4.3 图像阈值 | - | 100% |
| 4.4 平滑图像 | - | 100% |
| 4.5 形态转换 | - | 100% |
| 4.6 图像梯度 | - | 100% |
| 4.7 Canny边缘检测 | - | |
| 4.8 影像金字塔 | - | |
| 4.9 轮廓 | - | |
| 4.10 直方图 | - | |
| 4.11 图像转换 | - | |
| 4.12 模板匹配 | - | |
| 4.13 霍夫线变换 | - | |
| 4.14 霍夫圆变换 | - | |
| 4.15 基于分水岭算法的图像分割 | - | |
| 基于GrabCut算法的交互式前景提取 | - | |
| 5. 特征检测和描述 | @3lackrush | |
| 5.1 了解功能 | - | 100% |
| 5.2 Harris角点检测 | - | |
| 5.3 Shi-Tomasi角点检测和追踪的良好特征 | - | |
| 5.4 SIFT简介（尺度不变特征变换） | - | |
| 5.5 SURF简介（加速鲁棒特性） | - | |
| 5.6 角点检测的FAST算法 | - | |
| 5.7 简介（二进制鲁棒独立基本特征） | - | |
| 5.8 ORB（定向快速和快速旋转） | - | |
| 5.9 特征匹配 | - | |
| 5.10 特征匹配+ Homography查找对象 | - | |
| 6. 视频分析 | @xmmmmmovo | |
| 6.1 Meanshift和Camshift | - | 100% |
| 6.2 光流 | - | 100% |
| 6.3 背景减法 | - | 100% |
| 7. 相机校准和3D重建 | @xmmmmmovo | |
| 7.1 相机校准 | - | 100% |
| 7.2 姿势估计 | - | |
| 7.3 极线几何 | - | |
| 7.4 立体图像的深度图 | - | |
| 8. 机器学习 | @wstone0011 | |
| 8.1 K-最近邻 | - | |
| 8.2 支持向量机（SVM） | - | |
| 8.3 K-Means聚类 | - | |
| 9. 计算摄影 | @ranxx | |
| 9.1 图像去噪 | - | |
| 9.2 图像修复 | - | |
| 9.3 高动态范围（HDR） | - | |
| 10. 目标检测 | @jiangzhonglian | |
| 10.1 使用Haar Cascades进行人脸检测 | - | 100% |
| 11. OpenCV-Python绑定 | @daidai21 | |
| 11.1 OpenCV-Python绑定如何工作？ | - | 100% |
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