ApacheCN 翻译活动进度公告 2019.5.25

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短篇集

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

认领:0/12,翻译:0/12

章节贡献者进度
关于卷积神经网络--
1
2.1.1-2.1.3
2.1.4-2.1.6
2.2.1
2.2.2-2.2.3
2.3-2.4
3.1
3.2
3.3
3.4-3.5
4.1
4.2

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:9/42,翻译:9/42

章节贡献者进度
1.关于本书(ES2019 版)@YouWillBe100%
2.常见问题:本书@huangzijian888100%
3. JavaScript 的历史和演变
4.常见问题:JavaScript
5.概览
6.语法@lq920320100%
7.在控制台上打印信息(console.*@lq920320100%
8.断言 API@lq920320100%
9.测验和练习入门
10.变量和赋值@so-hard100%
11.值
12.运算符
13.非值undefinednull
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@iChrisJ100%
38.异步函数@iChrisJ100%
39.正则表达式(RegExp@iChrisJ100%
40.日期(Date
41.创建和解析 JSON(JSON
42.其余章节在哪里?

seaborn 0.9 中文文档

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

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

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

认领:50/74,翻译:36/74

序号章节译者进度
1An introduction to seaborn@yiran7324100%
2Installing and getting started@neolei100%
3Visualizing statistical relationships@JNJYan100%
4Plotting with categorical data@hold2010
5Visualizing the distribution of a dataset@alohahahaha100%
6Visualizing linear relationships@friedhelm739
7Building structured multi-plot grids@keyianpai100%
8Controlling figure aesthetics@P3n9W31
9Choosing color palettes@Modrisco100%
10seaborn.relplot
11seaborn.scatterplot@tututwo
12seaborn.lineplot@tututwo
13seaborn.catplot@LIJIANcoder97100%
14seaborn.stripplot@LIJIANcoder97100%
15seaborn.swarmplot@LIJIANcoder97
16seaborn.boxplot@FindNorthStar100%
17seaborn.violinplot@FindNorthStar100%
18seaborn.boxenplot@FindNorthStar
19seaborn.pointplot@FindNorthStar
20seaborn.barplot@melon-bun
21seaborn.countplot@Stuming
22seaborn.jointplot
23seaborn.pairplot
24seaborn.distplot@hyuuo100%
25seaborn.kdeplot@hyuuo100%
26seaborn.rugplot@P3n9W31
27seaborn.lmplot@P3n9W31
28seaborn.regplot@P3n9W31
29seaborn.residplot@P3n9W31
30seaborn.heatmap@hyuuo100%
31seaborn.clustermap
32seaborn.FacetGrid@hyuuo100%
33seaborn.FacetGrid.map
34seaborn.FacetGrid.map_dataframe
35seaborn.PairGrid
36seaborn.PairGrid.map
37seaborn.PairGrid.map_diag
38seaborn.PairGrid.map_offdiag
39seaborn.PairGrid.map_lower
40seaborn.PairGrid.map_upper
41seaborn.JointGrid
42seaborn.JointGrid.plot
43seaborn.JointGrid.plot_joint
44seaborn.JointGrid.plot_marginals
45seaborn.set
46seaborn.axes_style
47seaborn.set_style
48seaborn.plotting_context
49seaborn.set_context
50seaborn.set_color_codes
51seaborn.reset_defaults
52seaborn.reset_orig
53seaborn.set_palette@Modrisco100%
54seaborn.color_palette@Modrisco100%
55seaborn.husl_palette@Modrisco100%
56seaborn.hls_palette@Modrisco100%
57seaborn.cubehelix_palette@Modrisco100%
58seaborn.dark_palette@Modrisco100%
59seaborn.light_palette@Modrisco100%
60seaborn.diverging_palette@Modrisco100%
61seaborn.blend_palette@Modrisco100%
62seaborn.xkcd_palette@Modrisco100%
63seaborn.crayon_palette@Modrisco100%
64seaborn.mpl_palette@Modrisco100%
65seaborn.choose_colorbrewer_palette@Modrisco100%
66seaborn.choose_cubehelix_palette@Modrisco100%
67seaborn.choose_light_palette@Modrisco100%
68seaborn.choose_dark_palette@Modrisco100%
69seaborn.choose_diverging_palette@Modrisco100%
70seaborn.load_dataset@Modrisco100%
71seaborn.despine@Modrisco100%
72seaborn.desaturate@Modrisco100%
73seaborn.saturate@Modrisco100%
74seaborn.set_hls_values@Modrisco100%

UCB CS61b:Java 中的数据结构

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

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

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

认领:11/12,翻译:9/12

标题译者进度
一、算法复杂度@leader402100%
二、抽象数据类型@Allenyep100%
三、满足规范@renyuhuiharrison100%
四、序列和它们的实现@biubiubiuboomboomboom100%
五、树@biubiubiuboomboomboom100%
六、搜索树@yongfengyan100%
七、哈希@Abel-Huang100%
八、排序和选择@Rachel-Hu100%
九、平衡搜索@Abel-Huang
十、并发和同步@Ruffianjiang100%
十一、伪随机序列
十二、图@TenerifeSea

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:2/83,校对:0/83

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

HBase 3.0 中文参考指南(校对)

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

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

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

认领:18/31,校对:11/31

章节贡献者进度
Preface@xixici100%
Getting Started@xixici100%
Apache HBase Configuration@xixici100%
Upgrading@xixici100%
The Apache HBase Shell@xixici100%
Data Model@Winchester-Yi
HBase and Schema Design@RaymondCode100%
RegionServer Sizing Rules of Thumb
HBase and MapReduce@BridgetLai100%
Securing Apache HBase
Architecture@RaymondCode
In-memory Compaction@mychaow
Backup and Restore@mychaow
Synchronous Replication@mychaow
Apache HBase APIs@xixici100%
Apache HBase External APIs@xixici100%
Thrift API and Filter Language@xixici100%
HBase and Spark@TsingJyujing100%
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

UCB Prob140:面向数据科学的概率论

参与方式:https://github.com/apachecn/prob140-textbook-zh/blob/master/CONTRIBUTING.md

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

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

认领:22/25,翻译:19/25

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@biubiubiuboomboomboom100%
五、事件集合>0%
六、随机计数@viviwong100%
七、泊松化@YAOYI626100%
八、期望50%
九、条件(续)@YAOYI626100%
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-Yi100%
十八、正态和 Gamma 族@Winchester-Yi100%
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@lvzhetx100%
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@ThomasCai100%
二十五、多元回归@lanhaixuan100%

Pytorch 1.0 中文文档

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

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

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

教程部分:认领:35/37,翻译:34/37;文档部分:认领:39/39,翻译:34/39

章节贡献者进度
教程部分--
Deep Learning with PyTorch: A 60 Minute Blitz@bat67100%
What is PyTorch?@bat67100%
Autograd: Automatic Differentiation@bat67100%
Neural Networks@bat67100%
Training a Classifier@bat67100%
Optional: Data Parallelism@bat67100%
Data Loading and Processing Tutorial@yportne13100%
Learning PyTorch with Examples@bat67100%
Transfer Learning Tutorial@jiangzhonglian100%
Deploying a Seq2Seq Model with the Hybrid Frontend@cangyunye100%
Saving and Loading Models@bruce1408100%
What is torch.nn really?@lhc741100%
Finetuning Torchvision Models@ZHHAYO100%
Spatial Transformer Networks Tutorial@PEGASUS1993100%
Neural Transfer Using PyTorch@bdqfork100%
Adversarial Example Generation@cangyunye100%
Transfering a Model from PyTorch to Caffe2 and Mobile using ONNX@PEGASUS1993100%
Chatbot Tutorial@a625687551100%
Generating Names with a Character-Level RNN@hhxx2015100%
Classifying Names with a Character-Level RNN@hhxx2015100%
Deep Learning for NLP with Pytorch@bruce1408100%
Introduction to PyTorch@guobaoyo100%
Deep Learning with PyTorch@bdqfork100%
Word Embeddings: Encoding Lexical Semantics@sight007100%
Sequence Models and Long-Short Term Memory Networks@ETCartman100%
Advanced: Making Dynamic Decisions and the Bi-LSTM CRF@JohnJiangLA
Translation with a Sequence to Sequence Network and Attention@mengfu188100%
DCGAN Tutorial@wangshuai9517100%
Reinforcement Learning (DQN) Tutorial@friedhelm739100%
Creating Extensions Using numpy and scipy@cangyunye100%
Custom C++ and CUDA Extensions
Extending TorchScript with Custom C++ Operators
Writing Distributed Applications with PyTorch@firdameng100%
PyTorch 1.0 Distributed Trainer with Amazon AWS@yportne13100%
ONNX Live Tutorial@PEGASUS1993100%
Loading a PyTorch Model in C++@talengu100%
Using the PyTorch C++ Frontend@solerji100%
文档部分--
Autograd mechanics@PEGASUS1993100%
Broadcasting semantics@PEGASUS1993100%
CUDA semantics@jiangzhonglian100%
Extending PyTorch@PEGASUS1993100%
Frequently Asked Questions@PEGASUS1993100%
Multiprocessing best practices@cvley100%
Reproducibility@WyattHuang1
Serialization semantics@yuange250100%
Windows FAQ@PEGASUS1993100%
torch@yiran7324
torch.Tensor@hijkzzz100%
Tensor Attributes@yuange250100%
Type Info@PEGASUS1993100%
torch.sparse@hijkzzz100%
torch.cuda@bdqfork100%
torch.Storage@yuange250100%
torch.nn@yuange250
torch.nn.functional@hijkzzz100%
torch.nn.init@GeneZC100%
torch.optim@qiaokuoyuan
Automatic differentiation package - torch.autograd@gfjiangly100%
Distributed communication package - torch.distributed@univeryinli100%
Probability distributions - torch.distributions@hijkzzz100%
Torch Script@keyianpai100%
Multiprocessing package - torch.multiprocessing@hijkzzz100%
torch.utils.bottleneck@belonHan100%
torch.utils.checkpoint@belonHan100%
torch.utils.cpp_extension@belonHan100%
torch.utils.data@BXuan694100%
torch.utils.dlpack@kunwuz100%
torch.hub@kunwuz100%
torch.utils.model_zoo@BXuan694100%
torch.onnx@guobaoyo100%
Distributed communication package (deprecated) - torch.distributed.deprecated@luxinfeng
torchvision Reference@BXuan694100%
torchvision.datasets@BXuan694100%
torchvision.models@BXuan694100%
torchvision.transforms@BXuan694100%
torchvision.utils@BXuan694100%

认领完毕

OpenCV 4.0 中文教程

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

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

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

认领:51/51,翻译:26/51。

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posted @ 2019-05-25 10:59  绝不原创的飞龙  阅读(11)  评论(0编辑  收藏  举报  来源