ApacheCN 翻译活动进度公告 2019.5.3

章节

贡献者

进度

1.关于本书（ES2019 版）

2.常见问题：本书

3. JavaScript 的历史和演变

4.常见问题：JavaScript

5.概览

6.语法

7.在控制台上打印信息（console.*）

8.断言 API

9.测验和练习入门

10.变量和赋值

11.值

12.运算符

13.非值undefined和null

14.布尔值

15.数字

16. Math

17. Unicode - 简要介绍（高级）

18.字符串

19.使用模板字面值和标记模板

20.符号

21.控制流语句

22.异常处理

23.可调用值

24.模块

25.单个对象

26.原型链和类

27.同步迭代

28.数组（Array）

29.类型化数组：处理二进制数据（高级）

30.映射（Map）

31. WeakMaps（WeakMap）

32.集（Set）

33. WeakSets（WeakSet）

34.解构

35.同步生成器（高级）

36. JavaScript 中的异步编程

37.异步编程的 Promise

38.异步函数

39.正则表达式（RegExp）

40.日期（Date）

41.创建和解析 JSON（JSON）

42.其余章节在哪里？

序号

章节

译者

1

An introduction to seaborn

@yiran7324

2

Installing and getting started

@neolei

3

Visualizing statistical relationships

@JNJYan

4

Plotting with categorical data

@hold2010

5

Visualizing the distribution of a dataset

@alohahahaha

6

Visualizing linear relationships

@friedhelm739

7

Building structured multi-plot grids

@keyianpai

8

Controlling figure aesthetics

9

Choosing color palettes

@Modrisco

10

seaborn.relplot

11

seaborn.scatterplot

@tututwo

12

seaborn.lineplot

@tututwo

13

seaborn.catplot

@LIJIANcoder97

14

seaborn.stripplot

@LIJIANcoder97

15

seaborn.swarmplot

@LIJIANcoder97

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

@Modrisco

54

seaborn.color_palette

@Modrisco

55

seaborn.husl_palette

@Modrisco

56

seaborn.hls_palette

@Modrisco

57

seaborn.cubehelix_palette

@Modrisco

58

seaborn.dark_palette

@Modrisco

59

seaborn.light_palette

@Modrisco

60

seaborn.diverging_palette

@Modrisco

61

seaborn.blend_palette

@Modrisco

62

seaborn.xkcd_palette

@Modrisco

63

seaborn.crayon_palette

@Modrisco

64

seaborn.mpl_palette

@Modrisco

65

seaborn.choose_colorbrewer_palette

@Modrisco

66

seaborn.choose_cubehelix_palette

@Modrisco

67

seaborn.choose_light_palette

@Modrisco

68

seaborn.choose_dark_palette

@Modrisco

69

seaborn.choose_diverging_palette

@Modrisco

70

seaborn.load_dataset

@Modrisco

71

seaborn.despine

@Modrisco

72

seaborn.desaturate

@Modrisco

73

seaborn.saturate

@Modrisco

序号

章节

贡献者

进度

1

git

2

git-config

3

git-help

4

git-init

5

git-clone

6

git-add

@yulezheng

7

git-status

8

git-diff

9

git-commit

@yulezheng

10

git-reset

11

git-rm

12

git-mv

13

git-branch

14

git-checkout

15

git-merge

16

git-mergetool

17

git-log

18

git-stash

19

git-tag

20

git-worktree

21

git-fetch

22

git-pull

23

git-push

24

git-remote

25

git-submodule

26

git-show

27

git-log

29

git-shortlog

30

git-describe

31

git-apply

32

git-cherry-pick

34

git-rebase

35

git-revert

36

git-bisect

37

git-blame

38

git-grep

39

gitattributes

40

giteveryday

41

gitglossary

42

githooks

43

gitignore

44

gitmodules

45

gitrevisions

46

gittutorial

47

gitworkflows

48

git-am

50

git-format-patch

51

git-send-email

52

git-request-pull

53

git-svn

54

git-fast-import

55

git-clean

56

git-gc

57

git-fsck

58

git-reflog

59

git-filter-branch

60

git-instaweb

61

git-archive

62

git-bundle

63

git-daemon

64

git-update-server-info

65

git-cat-file

66

git-check-ignore

67

git-checkout-index

68

git-commit-tree

69

git-count-objects

70

git-diff-index

71

git-for-each-ref

72

git-hash-object

73

git-ls-files

74

git-merge-base

75

git-read-tree

76

git-rev-list

77

git-rev-parse

78

git-show-ref

79

git-symbolic-ref

80

git-update-index

81

git-update-ref

82

git-verify-pack

83

git-write-tree

章节

贡献者

Preface

@xixici

Getting Started

@xixici

Apache HBase Configuration

@xixici

Upgrading

@xixici

The Apache HBase Shell

@xixici

Data Model

@Winchester-Yi

HBase and Schema Design

@RaymondCode

RegionServer Sizing Rules of Thumb

HBase and MapReduce

@BridgetLai

Securing Apache HBase

Architecture

@RaymondCode

In-memory Compaction

@mychaow

Backup and Restore

@mychaow

Synchronous Replication

@mychaow

Apache HBase APIs

@xixici

Apache HBase External APIs

@xixici

Thrift API and Filter Language

@xixici

HBase and Spark

@TsingJyujing

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

标题

译者

进度

一、算法复杂度

@leader402

100%

二、抽象数据类型

@Allenyep

100%

三、满足规范

@renyuhuiharrison

100%

四、序列和它们的实现

@biubiubiuboomboomboom

100%

五、树

@biubiubiuboomboomboom

100%

六、搜索树

@yongfengyan

七、哈希

@Abel-Huang

八、排序和选择

@Rachel-Hu

100%

九、平衡搜索

十、并发和同步

十一、伪随机序列

十二、图

标题

译者

一、基础

飞龙

二、计算几率

飞龙

三、随机变量

飞龙

四、事件之间的关系

@biubiubiuboomboomboom

五、事件集合

六、随机计数

@viviwong

七、泊松化

@YAOYI626

八、期望

九、条件（续）

@YAOYI626

十、马尔科夫链

喵十八

十一、马尔科夫链（续）

喵十八

十二、标准差

缺只萨摩

十三、方差和协方差

缺只萨摩

十四、中心极限定理

喵十八

十五、连续分布

@ThunderboltSmile

十六、变换

@hellozhaihy

十七、联合密度

@Winchester-Yi

十八、正态和 Gamma 族

@Winchester-Yi

十九、和的分布

平淡的天

二十、估计方法

平淡的天

二十一、Beta 和二项

@lvzhetx

二十二、预测

二十三、联合正态随机变量

@JUNE951234

二十四、简单线性回归

@ThomasCai

章节

贡献者

教程部分

-

Deep Learning with PyTorch: A 60 Minute Blitz

@bat67

What is PyTorch?

@bat67

Autograd: Automatic Differentiation

@bat67

Neural Networks

@bat67

Training a Classifier

@bat67

Optional: Data Parallelism

@bat67

Data Loading and Processing Tutorial

@yportne13

Learning PyTorch with Examples

@bat67

Transfer Learning Tutorial

@jiangzhonglian

Deploying a Seq2Seq Model with the Hybrid Frontend

@cangyunye

Saving and Loading Models

@bruce1408

What is torch.nn really?

@lhc741

Finetuning Torchvision Models

@ZHHAYO

Spatial Transformer Networks Tutorial

@PEGASUS1993

Neural Transfer Using PyTorch

@bdqfork

Adversarial Example Generation

@cangyunye

Transfering a Model from PyTorch to Caffe2 and Mobile using ONNX

@PEGASUS1993

Chatbot Tutorial

@a625687551

Generating Names with a Character-Level RNN

@hhxx2015

Classifying Names with a Character-Level RNN

@hhxx2015

Deep Learning for NLP with Pytorch

@bruce1408

Introduction to PyTorch

@guobaoyo

Deep Learning with PyTorch

@bdqfork

Word Embeddings: Encoding Lexical Semantics

@sight007

Sequence Models and Long-Short Term Memory Networks

@ETCartman

Advanced: Making Dynamic Decisions and the Bi-LSTM CRF

@JohnJiangLA

Translation with a Sequence to Sequence Network and Attention

@mengfu188

DCGAN Tutorial

@wangshuai9517

Reinforcement Learning (DQN) Tutorial

@friedhelm739

Creating Extensions Using numpy and scipy

@cangyunye

Custom C and CUDA Extensions

Extending TorchScript with Custom C Operators

Writing Distributed Applications with PyTorch

@firdameng

PyTorch 1.0 Distributed Trainer with Amazon AWS

@yportne13

ONNX Live Tutorial

@PEGASUS1993

Loading a PyTorch Model in C

@talengu

Using the PyTorch C Frontend

@solerji

文档部分

-

Autograd mechanics

@PEGASUS1993

Broadcasting semantics

@PEGASUS1993

CUDA semantics

@jiangzhonglian

Extending PyTorch

@PEGASUS1993

Frequently Asked Questions

@PEGASUS1993

Multiprocessing best practices

@cvley

Reproducibility

@WyattHuang1

Serialization semantics

@yuange250

Windows FAQ

@PEGASUS1993

torch

@yiran7324

torch.Tensor

@hijkzzz

Tensor Attributes

@yuange250

Type Info

@PEGASUS1993

torch.sparse

@hijkzzz

torch.cuda

@bdqfork

torch.Storage

@yuange250

torch.nn

@yuange250

torch.nn.functional

@hijkzzz

torch.nn.init

@GeneZC

torch.optim

@qiaokuoyuan

Automatic differentiation package - torch.autograd

@gfjiangly

Distributed communication package - torch.distributed

@univeryinli

Probability distributions - torch.distributions

@hijkzzz

Torch Script

@keyianpai

Multiprocessing package - torch.multiprocessing

@hijkzzz

torch.utils.bottleneck

@belonHan

torch.utils.checkpoint

@belonHan

torch.utils.cpp_extension

@belonHan

torch.utils.data

@BXuan694

torch.utils.dlpack

@kunwuz

torch.hub

@kunwuz

torch.utils.model_zoo

@BXuan694

torch.onnx

@guobaoyo

Distributed communication package (deprecated) - torch.distributed.deprecated

@luxinfeng

torchvision Reference

@BXuan694

torchvision.datasets

@BXuan694

torchvision.models

@BXuan694

torchvision.transforms

@BXuan694