赞
踩
认领须知:
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:11/12,翻译:7/12
章节 | 贡献者 | 进度 |
---|---|---|
零、前言 | @PEGASUS1993 | 100% |
一、介绍 | @PEGASUS1993 | |
二、符号和定义 | @PEGASUS1993 | |
三、基本算法 | ||
四、线性算法剖析 | @P3n9W31 | 100% |
五、基本实践 | @chengchengbai | |
六、神经网络和深度学习 | @Everfighting | |
七、问题和答案 | @LaicZhang | 100% |
八、高级实践 | @LaicZhang | 100% |
九、无监督学习 | @onlyonewater | 100% |
十、其它学习形式 | @kjlintong | 100% |
十一、总结 | @kjlintong | 100% |
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:5/15,翻译:3/15
章节 | 贡献者 | 进度 |
---|---|---|
Lecture 1 | @Everglow0214 | 100% |
Lecture 2 | @sunnyswag | |
Lecture 3 | @Everglow0214 | 100% |
Lecture 4 | @Everglow0214 | 100% |
Lecture 5 | @Everglow0214 | |
Lecture 6 | ||
Lecture 7 | ||
Lecture 8 | ||
Lecture 9 | ||
Lecture 10 | ||
Lecture 11 | ||
Lecture 12 | ||
Lecture 13 | ||
Lecture 14 | ||
Lecture 15 |
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
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
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
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
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
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
章节 | 贡献者 | 进度 |
---|---|---|
关于卷积神经网络 | - | - |
1 | @daewis | 100% |
2.1.1-2.1.3 | @daewis | 100% |
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 |
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
章节 | 贡献者 | 进度 |
---|---|---|
1.关于本书(ES2019 版) | @YouWillBe | 100% |
2.常见问题:本书 | @huangzijian888 | 100% |
3. JavaScript 的历史和演变 | @t532 | 100% |
4.常见问题:JavaScript | @t532 | 100% |
5.概览 | @kj415j45 | 100% |
6.语法 | @lq920320 | 100% |
7.在控制台上打印信息(console.* ) | @lq920320 | 100% |
8.断言 API | @lq920320 | 100% |
9.测验和练习入门 | @so-hard | 100% |
10.变量和赋值 | @so-hard | 100% |
11.值 | @lq920320 | 100% |
12.运算符 | @wizardforcel | 100% |
13.非值undefined 和null | @wizardforcel | 100% |
14.布尔值 | @wizardforcel | 100% |
15.数字 | @wizardforcel | 100% |
16. Math | @wizardforcel | 100% |
17. Unicode - 简要介绍(高级) | @wizardforcel | 100% |
18.字符串 | @wizardforcel | 100% |
19.使用模板字面值和标记模板 | @wizardforcel | 100% |
20.符号 | @wizardforcel | 100% |
21.控制流语句 | @wizardforcel | 100% |
22.异常处理 | @t532 | |
23.可调用值 | @t532 | |
24.模块 | @t532 | |
25.单个对象 | ||
26.原型链和类 | @lq920320 | 100% |
27.同步迭代 | @lq920320 | 100% |
28.数组(Array ) | @52admln | 100% |
29.类型化数组:处理二进制数据(高级) | ||
30.映射(Map ) | @so-hard | 100% |
31. WeakMaps(WeakMap ) | ||
32.集(Set ) | @liuyepiaoxiang | 100% |
33. WeakSets(WeakSet ) | ||
34.解构 | @Kavelaa | 100% |
35.同步生成器(高级) | ||
36. JavaScript 中的异步编程 | @Kavelaa | 100% |
37.异步编程的 Promise | @iChrisJ | 100% |
38.异步函数 | @iChrisJ | 100% |
39.正则表达式(RegExp ) | @iChrisJ | 100% |
40.日期(Date ) | @facebesidewyj | 100% |
41.创建和解析 JSON(JSON ) | ||
42.其余章节在哪里? | @wizardforcel | 100% |
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:72/74,翻译:70/74
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
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
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 | ||
HBase and Schema Design | @RaymondCode | 100% |
RegionServer Sizing Rules of Thumb | ||
HBase and MapReduce | @BridgetLai | 100% |
Securing Apache HBase | ||
Architecture | ||
In-memory Compaction | @mychaow | 100% |
Backup and Restore | @mychaow | 100% |
Synchronous Replication | @mychaow | 100% |
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 | ||
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 | ||
Procedure Framework (Pv2): HBASE-12439 | ||
AMv2 Description for Devs | ||
ZooKeeper | ||
Community | ||
Appendix |
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
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 | - | - |
5.1 ~5.3 | @PEGASUS1993 | 100% |
5.4 | ||
六、随机计数 | @viviwong | 100% |
七、泊松化 | @YAOYI626 | 100% |
八、期望 | - | - |
8.1 ~ 8.2 | @PEGASUS1993 | 100% |
8.3 | ||
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 | ||
十六、变换 | @hellozhaihy | 100% |
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 | - | - |
22.1 | @lvzhetx | 100% |
22.2 ~ 22.4 | ||
二十三、联合正态随机变量 | ||
二十四、简单线性回归 | @ThomasCai | 100% |
二十五、多元回归 | @lanhaixuan | 100% |
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
Keras:认领:4/46,校对:3/46
XGBoost:认领:0/18,校对:0/18
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:29/85,校对:20/85
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:50/51,校对:45/51。
章节 | 贡献者 | 进度 |
---|---|---|
1. 简介 | - | |
1.1 OpenCV-Python教程简介 | @wstone0011 | 100% |
1.2 安装OpenCV—Python | @wstone0011 | 100% |
2. GUI功能 | - | |
2.1 图像入门 | @ranxx | 100% |
2.2 视频入门 | @ranxx | 100% |
2.3 绘图功能 | @ranxx | 100% |
2.4 鼠标作为画笔 | @ranxx | 100% |
2.5 作为调色板的跟踪栏 | @ranxx | 100% |
3. 核心操作 | - | |
3.1 图像基本操作 | @luxinfeng | 100% |
3.2 图像的算术运算 | @luxinfeng | 100% |
3.3 性能测量和改进技术 | @luxinfeng | 100% |
4. 图像处理 | - | |
4.1 更改颜色空间 | @friedhelm739 | 100% |
4.2 图像的几何变换 | @friedhelm739 | 100% |
4.3 图像阈值 | @friedhelm739 | 100% |
4.4 平滑图像 | @friedhelm739 | 100% |
4.5 形态转换 | @friedhelm739 | 100% |
4.6 图像梯度 | @friedhelm739 | 100% |
4.7 Canny边缘检测 | @wxh928408225 | 100% |
4.8 影像金字塔 | @wxh928408225 | 100% |
4.9 轮廓 | @wxh928408225 | 100% |
4.10 直方图 | @wxh928408225 | 100% |
4.11 图像转换 | @wxh928408225 | |
4.12 模板匹配 | @wxh928408225 | |
4.13 霍夫线变换 | @wxh928408225 | |
4.14 霍夫圆变换 | @wxh928408225 | |
4.15 基于分水岭算法的图像分割 | @wxh928408225 | |
4.16 基于GrabCut算法的交互式前景提取 | ||
5. 特征检测和描述 | - | |
5.1 了解功能 | @3lackrush | 100% |
5.2 Harris角点检测 | @lyrich | 100% |
5.3 Shi-Tomasi角点检测和追踪的良好特征 | @lyrich | 100% |
5.4 SIFT简介(尺度不变特征变换) | @lyrich | 100% |
5.5 SURF简介(加速鲁棒特性) | @lyrich | 100% |
5.6 角点检测的FAST算法 | @lyrich | 100% |
5.7 简介(二进制鲁棒独立基本特征) | @lyrich | 100% |
5.8 ORB(定向快速和快速旋转) | @lyrich | 100% |
5.9 特征匹配 | @lyrich | 100% |
5.10 特征匹配+ Homography查找对象 | @lyrich | 100% |
6. 视频分析 | - | |
6.1 Meanshift和Camshift | @xmmmmmovo | 100% |
6.2 光流 | @xmmmmmovo | 100% |
6.3 背景减法 | @xmmmmmovo | 100% |
7. 相机校准和3D重建 | - | |
7.1 相机校准 | @xmmmmmovo | 100% |
7.2 姿势估计 | @xmmmmmovo | 100% |
7.3 极线几何 | @xmmmmmovo | 100% |
7.4 立体图像的深度图 | @xmmmmmovo | 100% |
8. 机器学习 | - | |
8.1 K-最近邻 | @wstone0011 | 100% |
8.2 支持向量机(SVM) | @wstone0011 | 100% |
8.3 K-Means聚类 | @wstone0011 | 100% |
9. 计算摄影 | - | |
9.1 图像去噪 | @loganjingdi | 100% |
9.2 图像修复 | @loganjingdi | 100% |
9.3 高动态范围(HDR) | @loganjingdi | 100% |
10. 目标检测 | - | |
10.1 使用Haar Cascades进行人脸检测 | @jiangzhonglian | 100% |
11. OpenCV-Python绑定 | - | |
11.1 OpenCV-Python绑定如何工作? | @daidai21 | 100% |
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:17/72,校对:10/72
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:12/12,翻译:11/12
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
章节 | 贡献者 | 进度 |
---|---|---|
Lecture 1 | @cx123cx456 | 100% |
Lecture 2 | @AllenZYJ | |
Lecture 3 | @cx123cx456 | 100% |
Lecture 4 | @ZSIRS | 100% |
Lecture 5 | @ZSIRS | 100% |
Lecture 6 | @ZSIRS | 100% |
Lecture 7 | ||
Lecture 8 | ||
Lecture 9 | ||
Lecture 10 | ||
Lecture 11 | @Originval | 100% |
Lecture 12 | ||
Lecture 13 | ||
Lecture 14 | ||
Lecture 15 | ||
Lecture 16 | ||
Lecture 17 | @pingjing233 | 100% |
Lecture 18 | ||
Lecture 19 | ||
Lecture 20 | @Willianan | 100% |
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
章节 | 贡献者 | 进度 |
---|---|---|
Game Theory I week 1 | @sorrowyn | |
Game Theory I week 2 | @LINXH9898 | |
Game Theory I week 3 | @LINXH9898 | |
Game Theory I week 4 | @LINXH9898 | |
Game Theory I week 5 | @LINXH9898 | |
Game Theory I week 6 | @LINXH9898 | |
Game Theory I week 7 | @LINXH9898 | |
Game Theory II week 1 Social Choice: Taste | ||
Game Theory II week 1 Social Choice: Voting Schemes | ||
Game Theory II week 1 Social Choice: Paradoxical Outcomes | ||
Game Theory II week 1 Social Choice: Impossibility of Non-Paradoxical Social Welfare Functions | ||
Game Theory II week 1 Social Choice: Arrow’s Theorem | ||
Game Theory II week 1 Impossible of Non-paradoxical Social Choice Functions | ||
Game Theory II week 1 Single-Peaked Preferences | ||
Game Theory II week 2 Mechanism Design: Taste | ||
Game Theory II week 2 Mechanism Design: Implementation | ||
Game Theory II week 2 Revelation Principle | ||
Game Theory II week 2 Impossibility of General, Dominant-Strategy Implementation | ||
Game Theory II week 2 Transferable Utility | ||
Game Theory II week 2 Mechanism Design as an Optimization Problem | ||
Game Theory II week 3 VCG: Taste | ||
Game Theory II week 3 Vickrey-Clarke-Groves Mechanisms: Definitions | ||
Game Theory II week 3 VCG Example | ||
Game Theory II week 3 Limitations of VCG | ||
Game Theory II week 3 Individual Rationality and Budget Balance in VCG | ||
Game Theory II week 3 Myerson-Satterthwaite Theorem | ||
Game Theory II week 4 Auctions: Taste | ||
Game Theory II week 4 Auctions: Taxonomy | ||
Game Theory II week 4 Bidding in Second-Price Auctions | ||
Game Theory II week 4 Bidding in First-Price Auctions | ||
Game Theory II week 4 Revenue Equivalence | ||
Game Theory II week 4 Optimal Auctions | ||
Game Theory II week 4 More Advanced Auctions |
我们是一个大型开源社区,旗下 QQ 群共一万余人,订阅用户至少一万人。Github Star 数量超过 40k 个,在所有 Github 组织中排名前 150。网站日 uip 超过 4k,Alexa 排名的峰值为 20k。我们的核心成员拥有 CSDN 博客专家和简书程序员优秀作者认证。我们与 Datawhale、AI 有道、黄海广博士等国内知名开源组织和大 V 合作,组织公益性的翻译活动、学习活动和比赛组队活动。
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。
除了以上组织或个人,我们还要感谢苍海国际、黑客派、GirlsInAI、DataSciComp、SeanCheney、AI 科技大本营的创意和支持。
[外链图片转存失败(img-OX1hk2mc-1567135272582)(http://data.apachecn.org/img/about/donate.jpg)]
Copyright © 2003-2013 www.wpsshop.cn 版权所有,并保留所有权利。