ApacheCN 翻译活动进度公告 2019.3.24

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

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

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%

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/airflow-doc-

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

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%

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%