常用链接

gstreamer: gstreamer.freedesktop.org
kubernetes: kubernetes.io, github.com/kubernetes-client
microk8s: microk8s.io
redis: redis.cn, w3cschool.cn/redis
v4l2: kernel.org
grpc: grpc.io http://doc.oschina.net/grpc?t=58011
protobuf: https://developers.google.com/protocol-buffers, github.com/protocolbuffers
android: https://developer.android.google.cn/
android kernel: https://github.com/MiCode/Xiaomi_Kernel_OpenSource
openmax: github.com/khronosgroup/
doxygen: http://doxygen.nl/manual/markdown.html
http 2.0: https://http2.github.io/
linkerd: https://linkerd.io/  https://www.kubernetes.org.cn/2476.html https://github.com/linkerd https://github.com/linkerd/linkerd-examples

nodejs: nodejs.cn, nodejs.org
qemu: qemu.org

typescript: https://www.tslang.cn/  

门户网：（中文）

http://www.sina.com.cn   http://www.sohu.com  http://www.163.com

 

门户网：（英文）

http://www.news.com

 

http://qiye.163.com/login/      paul_cao qiyuemail.com

 

技术：

http://www.csdn.net     http://wenku.baidu.com  http://www.mathworks.cn    http://www.chinaunix.net/

http://www.ieee.org     http://www.codeproject.com    http://msdn.microsoft.com

http://www.changedetection.net/      http://www.stackoverflow.com/

http://nlp.stanford.edu/software/index.shtml  斯坦福NLP

http://www.runoob.com/nodejs/nodejs-tutorial.html  Node.js tutorial

https://nodejs.org

http://www.w3school.com.cn/     w3school

http://www.gnu.org/software/octave/  Octave

http://vcipl-okstate.org/pbvs/bench/   OTCBVS Benchmark Dataset Collection

http://translate.google.cn/    google在线翻译
http://bbs.pinggu.org/   经管之家

http://ivrl.epfl.ch  IMAGE AND VISUAL REPRESENTATION LAB IVRL

 

Finance:

http://bbs.cfaspace.com/   CFA space

 

博客：

http://blog.csdn.net/zhaoxu0312    csdn排名第六

http://blog.csdn.net/zhoubl668   csdn排名第170

http://blog.csdn.net/xmuecor    csdn博客：芙石工作室。数据科学

http://verbs.colorado.edu/~mpalmer    Blog of  Martha Palmer, Professor, Department of Linguistics University of Colorado Boulder

http://blog.csdn.net/jackfirst86   有一些关于分词的转载

http://blog.csdn.net/marising   李海波博客，李海波 -- 做影响一亿人的产品， 有自然语言处理/机器学习，CRF++

http://blog.csdn.net/stdcoutzyx  斯坦福ML公开课笔记

 http://www.zhihu.com/    知乎

http://www.blog.huajh7.com/variational-byes  Junhao HUA blog

http://blog.csdn.net/baimafujinji   白马负金羁 数据挖掘 | 统计分析 | 图像处理 | 程序设计

http://blog.csdn.net/robertsong2004  闲云孤鹤的博客, (金融之路......)

 

娱乐：

http://cn.msn.com/   http://www.tianya.cn

 

数学：

http://blog.csdn.net/foolely/article/details/1350665   Topology

http://blog.csdn.net/zhaoyang17/article/details/5313359   李天岩:混沌的故事

 

决策树与随机森林：

http://blog.csdn.net/guoqiangma/article/details/7188639

http://blog.csdn.net/abcjennifer/article/details/20905311

 

 

R语言：

http://www.r-bloggers.com/   R语言blog
http://www.r-project.org     R语言projects

 

  eBook:

http://www.ebook3000.com

http://www.springer.com/

http://www.wiley.com

 

Gidder - git server on android:

http://devzc.com/archives/302/giddergit-server-on-android/

 

pdu:

http://www.twit88.com/home/utility/sms-pdu-encode-decode

Mathematics:

http://blog.csdn.net/arch_seeker/article/category/1123092

http://www.aw.com/ide/index.html

http://mathgenealogy.mnsu.edu/

http://mathworld.wolfram.com/

 

Super Pixel / Segmentation:

http://blog.csdn.net/anshan1984/article/details/8918167

http://blog.csdn.net/anshan1984/article/details/8581225

http://www2.cs.sfu.ca/~mori/research/superpixels/

http://blog.csdn.net/deepvl/article/details/39988475  Video/Motion Segmentation Dataset and Benchmark

 http://blog.csdn.net/xw20084898/article/details/17566413  CV codes代码分类整理合集

http://www.sigvc.org/bbs/thread-72-1-1.html    CV codes代码分类整理合集

拟阵(Matroid)

http://blog.csdn.net/baisung/article/details/7657926

http://blog.csdn.net/nightwishss/article/details/19454225

http://blog.csdn.net/shellaylee/article/details/28748207

http://blog.csdn.net/u010555682/article/details/47000063

 

Google word2vec:

http://blog.csdn.net/peghoty/article/category/1686185    word2vec 中的数学原理详解

http://blog.csdn.net/lingerlanlan/article/details/38232755  word2vec源码解析之word2vec.c

http://ir.dlut.edu.cn/news/detail/253      杨阳word2vec使用指南

http://blog.csdn.net/mytestmy/article/details/26961315     深度学习word2vec笔记之基础篇

http://download.csdn.net/download/dsp_g/8923559 

http://mattmahoney.net/   作者主页

http://radimrehurek.com/gensim/    Gensim: word2vec python version

http://www.cnblogs.com/downtjs/p/3784440.html  深度学习word2vec笔记之算法篇

http://blog.csdn.net/mytestmy/article/details/26961315   深度学习word2vec笔记之基础篇

C: http://word2vec.googlecode.com/svn/trunk/

python: http://radimrehurek.com/gensim/

Java: https://github.com/ansjsun/Word2VEC_java

C++: https://github.com/jdeng/word2vec

 

 围棋：

http://blog.csdn.net/gzlaiyonghao/article/details/2387034

http://www.docin.com/p-1491513824.html

 

gensim:

http://blog.csdn.net/largetalk/article/details/10439459

http://blog.csdn.net/whzhcahzxh/article/details/17528261

http://blog.csdn.net/questionfish/article/details/46772205

python: http://radimrehurek.com/gensim/

 

Google 机器学习：

http://tensorflow.org

 

Deep Learning:

http://blog.csdn.net/abcjennifer/article/details/7826917  机器学习——深度学习(Deep Learning)

http://blog.csdn.net/zouxy09/article/details/8777094

 http://blog.csdn.net/yangliuy/article/details/9335697 概率图模型（PGM）综述-by MIT 林达华博士

http://blog.csdn.net/zouxy09/article/details/8782018  Deep Learning（深度学习）学习笔记

 http://blog.csdn.net/junmuzi/article/details/51480472  十个值得一试的开源深度学习框架

http://www.csdn.net/article/1970-01-01/2825166  KDnuggets热门深度学习工具排行

 

Tensorflow:

http://geek.csdn.net/forum/129

http://blog.csdn.net/lizhe_dashuju/article/details/49761205

https://en.wikipedia.org/wiki/Torch_(machine_learning)

http://blog.csdn.net/isuker/article/details/52462897

http://blog.csdn.net/snsn1984/article/details/51352440

 http://blog.csdn.net/snsn1984/article/details/51371970  TensorFlow学习笔记之三——适合入门的一些资源

http://blog.csdn.net/mydear_11000/article/details/52020835 Tensorflow（一） 安装运行

http://blog.csdn.net/helei001/article/details/51285951

http://www.tensorfly.cn/tfdoc/get_started/os_setup.html  Tensorflow 中文社区

http://blog.csdn.net/may0324/article/details/53413024   Tensorflow 离线安装跳坑总结

 

Torch

https://www.zhihu.com/question/34789475?sort=created#
http://blog.csdn.net/jiejinquanil/article/details/49820471
http://blog.csdn.net/ethan_apple/article/details/48627639
http://blog.csdn.net/guoyilin/article/details/38440413
http://blog.csdn.net/guoyilin/article/details/38374179  Deep Learning 工具 Torch7安装与使用

http://torch.ch

http://blog.csdn.net/shenxiaolu1984/article/details/52373174
http://blog.csdn.net/shenxiaolu1984/article/details/51592320
http://blog.csdn.net/helei001/article/details/49967905

 http://blog.csdn.net/hungryof/article/details/52022415 Torch7学习系列

 

GAN(Generative Adversary Network) -- deeplearning
http://blog.csdn.net/boon_228/article/details/52400207  GAN的模型和理论发展
http://geek.csdn.net/news/detail/134553 GAN学习指南：从原理入门到制作生成Demo
http://blog.csdn.net/seven_first/article/details/53100325  在caffe 中实现Generative Adversarial Nets（二）

http://blog.csdn.net/u013139259/article/details/52729191 对抗神经网络(Adversarial Nets)的介绍[1]
http://blog.csdn.net/solomon1558/article/details/52555083  生成式对抗网络GAN研究进展（三）——条件GAN
http://blog.csdn.net/u011534057/article/details/52840788  GANs学习系列(5): 生成式对抗网络Generative Adversarial Networks
http://blog.csdn.net/solomon1558/article/details/52549409 生成式对抗网络GAN研究进展（二）——原始GAN
http://blog.csdn.net/shenxiaolu1984/article/details/52215983  【深度学习】生成对抗网络Generative Adversarial Nets
http://blog.csdn.net/seven_first/article/details/52999758  caffe 中实现Generative Adversarial Nets（一）

http://lib.csdn.net/article/deeplearning/59229  GANs学习系列(9):DCGAN对抗卷积神经网络总结  (不错)

http://lib.csdn.net/article/deeplearning/59228?knId=1731  DCGAN论文笔记+源码解析

 

股票数据： 

http://www.wstock.net/wstock/wsmin.htm

 

Machine learning and Deep learning in GitHub:

https://github.com/josephmisiti     awesome machine learning / awesome deep learning

https://yq.aliyun.com/articles/43341    史上最全的机器学习资料

https://github.com/rosejn

 

OpenNLP:

http://blog.csdn.net/qianwenhong/article/details/41845437 中文分词软件包的使用

 

 LingPipe:

http://blog.csdn.net/qachenzude/article/details/8266705

http://blog.csdn.net/chenlei0630/article/details/18698397

 

MRF for computer Vision:

 http://blog.csdn.net/hitmonkey/article/details/2128750

https://en.wikipedia.org/wiki/Markov_random_field

 

Octave(Matlab of GNU):

http://blog.csdn.net/c395565746c/article/details/6419534

http://www.gnu.org/software/octave/doc/interpreter/      GNU Octave Doc inline

https://www.gnu.org/software/octave/octave.pdf     GNU Octave pdf Doc

http://blog.csdn.net/argansos/article/details/6902465  linux 下用 emacs + octave 代替 matlab

http://blog.csdn.net/ubiter/article/details/6839148

https://ftp.gnu.org/gnu/octave/windows/octave-4.0.0_0.zip         GNU Octave windows UI version: good.

 http://sourceforge.net/projects/octave/     octave sourceforge packages download

 

Sigmoid:

http://blog.csdn.net/glock18c/article/details/16903759

http://blog.csdn.net/Glock18C/article/details/16906147

 

Emgu CV(OpenCV in C#):

http://blog.csdn.net/xywy2008/article/details/18321561

http://sourceforge.net/projects/emgucv/postdownload?source=dlp

http://blog.csdn.net/xywy2008/article/details/18321561

http://www.cnblogs.com/zengqs/archive/2009/01/31/1381756.html

http://www.cnblogs.com/maiye/archive/2010/06/19/1761075.html

 

 

http://www.changhai.org/bbs/  繁星客栈-望月殿

http://www.arxiv.org  张贴未正式发表论文

3D重建与双目视觉

http://blog.csdn.net/chenyusiyuan/article/details/5961769 OpenCV学习笔记（16）双目测距与三维重建的OpenCV实现问题集锦（一）图像获取与单目定标
http://blog.csdn.net/chenyusiyuan/article/details/5963256 OpenCV学习笔记（17）双目测距与三维重建的OpenCV实现问题集锦（二）双目定标与双目校正
http://blog.csdn.net/chenyusiyuan/article/details/5967291 OpenCV学习笔记（18）双目测距与三维重建的OpenCV实现问题集锦（三）立体匹配与视差计算
http://blog.csdn.net/chenyusiyuan/article/details/5970799 OpenCV学习笔记（19）双目测距与三维重建的OpenCV实现问题集锦（四）三维重建与OpenGL显示

http://www.opencv.org.cn/

 http://blog.csdn.net/panda1234lee/article/details/11094483  OpenCV的RobustMatch匹配算法

 

android wifi AP(ad hoc):

http://blog.csdn.net/bingking88/article/details/7702970

http://blog.csdn.net/z642010820/article/details/7341478

 http://blog.csdn.net/cxlmax/article/details/7827102

 

古诗文网：

http://www.gushiwen.org/guwen/shijing.aspx

 

Maven(java)

http://maven.apache.org

 

Jena (RDF/OWL, Semantic Web Tool):

http://blog.csdn.net/jazywoo123/article/details/8748653   Jena 本体推理

http://blog.csdn.net/angle7777/article/details/16807153

http://blog.csdn.net/wxlchinaren/article/details/7351373

http://blog.csdn.net/jazywoo123/article/details/8748759

http://blog.csdn.net/yangchang999/article/details/6280071

http://blog.csdn.net/xiaocong1314/article/details/8439895

http://blog.csdn.net/frontend922/article/details/15410933   基于Java的RDF开发工具

 

http://jena.cvs.sourceforge.net/viewvc/jena/    jena CVS库

http://jena.svn.sourceforge.net/

http://jena.apache.org/

https://github.com/apache/jena

Penn Tree Bank(PTB, CTB), Berkeley Parser

http://download.csdn.net/detail/kamo54/3032541    ctbparser 1.1下载

 http://wenku.baidu.com/view/e4fa223b58fafab068dc023c.html?re=view    从宾州中文树库观察三个汉语语法问题

http://wenku.baidu.com/link?url=7nmLg8Tf1_hwebBtpLCAQqt98P1bvtzmsqQ6BgUYlOCw5569yxC26aqXRnji1YWrt31b0Xz2OGAV3VrVoeq6JVdqMKYssnz9PDsRcHPuafe    树库标记及其含义 

 http://www.ldc.upenn.edu   宾州大学Linguistic Data Consortium

https://catalog.ldc.upenn.edu

 

http://m.blog.csdn.net/blog/fkyyly/42919477   在CTB上训练一个Berkeley Parser

http://blog.csdn.net/fkyyly

 

ftp://ftp.cis.upenn.edu/pub/treebank

https://catalog.ldc.upenn.edu/byproject    LDC Corpora ⇔ Projects

 

http://www.cis.upenn.edu/~treebank/    The Penn Treebank Project
http://www.threedweb.cn/thread-1479-1-1.html  宾州树库研究和团购 
http://www.threedweb.cn/   NLP社区  ccwwff

http://dingo.sbs.arizona.edu/~sandiway/treebankviewer/   TreeBank Viewer

 

CRF reference:

CRF++, FlexCrfs, pocketCRF,  CRFSuit

 

Friso:

http://download.csdn.net/detail/u013226064/7485607    friso中文分词1.6版 

 

Pullword(分词url):

http://www.pullword.com/

 

ZPar:

http://sourceforge.net/projects/zpar/files/0.7/   open source ZPar

 

Semantic Web:

http://blog.csdn.net/fcjg/article/details/1782962  语义网系统纵论（上）

http://www.semafora-systems.com/

 

数据集：

http://www.datatang.com/  数据堂 

 

WordSegment:

http://sourceforge.net/projects/wordseg/files/?source=navbar    opensource WordSegment

 

CRF segment:
http://sourceforge.net/projects/crfsegmenter/files/  open source

 

Stanford Parser:

http://nlp.stanford.edu/software/lex-parser.shtml#Download  

http://blog.csdn.net/dushenzhi/article/details/8194987

http://blog.csdn.net/guanjungao/article/details/22678243

http://blog.csdn.net/cuixianpeng/article/details/16864785

 

Protege:

http://protege.stanford.edu  homepage

http://protegewiki.stanford.edu/wiki/WebProtege  doc

https://github.com/protegeproject/webprotege  source code

http://download.csdn.net/detail/shaqkoko54/8221015    protege 5

http://blog.csdn.net/wangjun_pfc/article/details/1857303 

http://blog.csdn.net/mawenhu/article/details/3678027   领域本体的构建方法研究

http://blog.csdn.net/keaiweiwei/article/details/6790549   protege中使用推理机

http://blog.csdn.net/keaiweiwei/article/category/890605  本体ontology

 

OWL:

http://download.csdn.net/detail/hello898989/6941115

 

Ontology:

http://www.semafora-systems.com/

http://www.daml.org/

http://www.opencyc.org/

 

Reasoner:

http://blog.csdn.net/lqk1985/article/details/3501536  Jess与Racer推理的区别

http://blog.csdn.net/zhoubl668/article/details/17286989   推理机Jess、Racer、Jena 比较 

 

自然语言：

http://blog.csdn.net/zhoubl668/article/category/822563   搜索引擎开发(数据挖掘、海量数据处理、自然语言)

 

Cyc / opencyc

http://baike.baidu.com/link?url=3wOuuV27l9xk_N4nwWPpcA4bfoKT8AJiqbOfngIvkoiPltaznDcMqp0ONuIJLTlcKDF8UqMUjwUP-yLrz8htFK    CYC项目-百度百科

Topic Model:

http://blog.csdn.net/huagong_adu/article/details/7937616     主题模型-LDA浅析

http://download.csdn.net/detail/walkinsjtu/5166339    主题模型LDA的论文-Blei博士

http://download.csdn.net/detail/wxhbj0889/4947186    主题模型博士论文

 

Bayers（贝叶斯）：

http://blog.csdn.net/xmuecor/article/details/40372231    朴素贝叶斯分类器的应用(文本分类)

 

TF-IDF:

http://blog.csdn.net/jia20003/article/details/8883661

https://en.wikipedia.org/wiki/Tf%E2%80%93idf

http://blog.csdn.net/u013937688/article/details/46342657

http://blog.csdn.net/u013937688/article/details/46316951

 

NER(Named Entity Recognizer) 命名实体识别-- NLP
http://blog.csdn.net/zl19890124/article/details/46686241  Stanford Named Entity Recognizer (NER)简单应用实例

http://wenku.baidu.com/view/cf64d1d3360cba1aa811da19.html?re=view   基于条件随机场的中文命名实体识别研究（硕士论文）

 

Viterbi:

http://blog.csdn.net/yihucha166/article/details/1958871  HMM学习(6)-Viterbi Algorithm

Matrix Computations(矩阵计算)----Useful URL:

GVL4
Matlab demo scripts and functions, master bibliography, list of erata.
http://www.cornell.edu/cv/GVL4

NetLib
Huge repository of numerical software including LAPACK.
http://www.netlib.org/index.html

Matrix Market
Test examples for matrix algorithms.
http://math.nist.gov/matirxmarket

Matlab Central
Matlab functions, demos, classes, toolboxes, videos.
http://www.mathworks.com/matlabcentral

University of Florida Spare Matrix Collections
Thousands of spare matrix examples in several formats.
http://www.cise.ufl.edu/research/spare/matrices

Pseudospectra Gateway
Grapical tools for pseudospectra.
http://www.cs.ox.ac.uk/projects/pseudospectra

AUPACK
Software for large spare eigenvalue problems
http://www.caam.rice.edu/software/ARPACK

innovative Computing Laboratory
State-of-the-art high performance matrix computations.
http://icl.cs.utk.edu

 

 

http://blog.csdn.net/guzenyel/article/details/25769507  超像素分割与超像素合并/区域合并/多尺度分割

 

TLD Tracking

http://blog.csdn.net/MySniper11/article/details/8726649

http://blog.csdn.net/carson2005/article/details/7647500

http://personal.ee.surrey.ac.uk/Personal/Z.Kalal/    作者主页

http://blog.csdn.net/yang_xian521/article/details/7091587

压缩感知:

http://blog.csdn.net/abcjennifer/article/details/7721834  初识压缩感知Compressive Sensing

http://blog.csdn.net/jbb0523/article/details/41288573  压缩感知应用——单像素相机

 

 Object Detection(LBP, Haar, HOG):

http://blog.csdn.net/polly_yang/article/details/8470614

http://blog.csdn.net/q123456789098/article/details/52748918

 

ASM, AAM(active shape model, active appearance model):

http://blog.csdn.net/carson2005/article/details/8194317

http://blog.csdn.net/yang_xian521/article/details/7468571

http://blog.csdn.net/watkinsong/article/details/8891071

http://blog.csdn.net/cbl709/article/details/46239571

http://blog.csdn.net/yangtrees/article/details/8710734

http://blog.csdn.net/wobujianni/article/details/40077309

 

AAM source code:

http://codecapsule.com/2010/08/12/active-appearance-models-in-c-plus-plus/

http://www.ri.cmu.edu/research_project_detail.html?project_id=448

http://www2.imm.dtu.dk/~aam/

https://github.com/dfdx/ActiveAppearanceModels.jl

 

Grabcut, Graphcut:

http://research.justintalbot.org/papers/Grabcut.pdf   Implementing grabcut

http://blog.csdn.net/zouxy09/article/details/8535087

http://blog.csdn.net/zouxy09/article/details/8534954

http://blog.csdn.net/zouxy09/article/details/8532111

http://blog.csdn.net/mulinb/article/details/8989205

 

DenseCut:

https://github.com/jasonbunk/densecut-linux

http://mmcheng.net/densecut/

 

Skin Color Model:

http://blog.csdn.net/wj080211140/article/details/23384927

 

Deep Learning:

http://blog.csdn.net/zouxy09/article/details/11910527   Deep Learning源代码收集-持续更新…

 

 有趣的故事:

http://blog.csdn.net/u013524655/article/details/40922139  模型先生西蒙斯——世界上最赚钱的数学家

 http://blog.csdn.net/chungle2011/article/details/52450187

 

字幕网站：

http://assrt.net/

http://www.dragonsubtitles.com/

 

CVPR:

http://www.csdn.net/article/2015-08-06/2825395  CVPR 2015深度学习回顾：ConvNet、Caffe、Torch及其他

http://blog.csdn.net/sinat_34707539/article/details/52093422  2016 CVPR

http://blog.csdn.net/sinat_34707539/article/details/52209240  2016CVPR参展商和赞助商名单

 

QEMU:

http://www.linuxidc.com/Linux/2012-07/65478.htm   使用Qemu模拟Cortex-A9运行U-boot和Linux

http://linuxeden.com/html/develop/20100820/104409.html   在QEMU中调试ARM程序

https://www.ibm.com/developerworks/cn/linux/l-qemu/index.html 使用 QEMU 进行系统仿真

http://blog.csdn.net/hmsiwtv/article/details/19763709  用Qemu模拟ARM(1)

http://download.qemu-project.org/qemu-doc.html.old  QEMU Emulator User Documentation

http://download.qemu-project.org/qemu-doc.html

http://git.qemu-project.org/

netlink 相关资源

https://blog.csdn.net/banruoju/article/details/69387232  linux的netlink接口详解(上)
https://blog.csdn.net/banruoju/article/details/77833538 linux的netlink接口详解（下）
http://www.infradead.org/~tgr/libnl/doc/core.html#core_msg_attr  Netlink Library (libnl)
https://blog.csdn.net/luckyapple1028/article/details/50839395  Netlink 内核实现分析（一）：创建
https://blog.csdn.net/luckyapple1028/article/details/50936563  Netlink 内核实现分析（二）：通信
https://blog.csdn.net/luckyapple1028/article/details/51172455  Generic Netlink内核实现分析（一）：初始化
https://blog.csdn.net/luckyapple1028/article/details/51232582  Generic Netlink内核实现分析（二）：通信
https://wiki.linuxfoundation.org/networking/generic_netlink_howto#architectural-overview

http://www.openvswitch.org/support/dist-docs/  openvswitch doc

 include/uapi/linux/netlink.h
/* ========================================================================
 *         Netlink Messages and Attributes Interface (As Seen On TV)
 * ------------------------------------------------------------------------
 *                          Messages Interface
 * ------------------------------------------------------------------------
 *
 * Message Format:
 *    <--- nlmsg_total_size(payload)  --->
 *    <-- nlmsg_msg_size(payload) ->
 *   +----------+- - -+-------------+- - -+-------- - -
 *   | nlmsghdr | Pad |   Payload   | Pad | nlmsghdr
 *   +----------+- - -+-------------+- - -+-------- - -
 *   nlmsg_data(nlh)---^                   ^
 *   nlmsg_next(nlh)-----------------------+
 *
 * Payload Format:
 *    <---------------------- nlmsg_len(nlh) --------------------->
 *    <------ hdrlen ------>       <- nlmsg_attrlen(nlh, hdrlen) ->
 *   +----------------------+- - -+--------------------------------+
 *   |     Family Header    | Pad |           Attributes           |
 *   +----------------------+- - -+--------------------------------+
 *   nlmsg_attrdata(nlh, hdrlen)---^
 *
 * Attribute Format:
 *    <------- nla_total_size(payload) ------->
 *    <---- nla_attr_size(payload) ----->
 *   +----------+- - -+- - - - - - - - - +- - -+-------- - -
 *   |  Header  | Pad |     Payload      | Pad |  Header
 *   +----------+- - -+- - - - - - - - - +- - -+-------- - -
 *                     <- nla_len(nla) ->      ^
 *   nla_data(nla)----^                        |
 *   nla_next(nla)-----------------------------'
 *
 *=========================================================================