XiunoBBS是一款国产、小巧、稳定、支持在大数据量下仍然保持高负载能力的轻型论坛。
XiunoBBS4.0.4正式版更新日志：2018-04-11二级导航(二次开发必备，BBS频道化，可以扩展CMS、SHOP、BLOG等频道)；
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Kerberos权威指南，KerberosTheDefinitiveGuide。
Singlesign-onistheholygrailofnetworkadministration,andKerberosistheonlygameintown.Microsoft,byintegratingKerberosintoActiveDirectoryinWindows2000and2003,hasextendedthelargeorsmall.Kerberosmakesyournetworkmoresecureandmoreconvenientforusersbyprovidingasingleauthenticationsystemthatworksacrosstheentirenetwork.Oneusername;onepassword;oneloginisallyouneed.Fortunately,helpforadministratorsisontheway.ThisguideshowsyouhowtoimplementKerberosforsecureauthentication.Inadditiontocoveringthebasicprinciplesbehindcryptographicauthentication,itcoverseverythingfrombasicinstallationtoadvancedtopicslikecross-realmauthentication,defendingagainstattacksonKerberos,andtroubleshooting.InadditiontocoveringMicrosoft'sActiveDirectoryimplementation,Kerberos:TheDefinitiveGuidecoversbothmajorimplementationsofKerberosforUnixandLinux:MITandHeimdal.ItshowsyouhowtosetupMacOSXasaKerberosclient.ThebookalsocoversbothversionsoftheKerberosprotocolthatarestillinuse:Kerberos4(nowobsolete)andKerberos5,payingspecialattentiontotheintegrationbetweenthedifferentprotocols,andbetweenUnixandWindowsimplementations.

ml-latest-small.zip的数据集，不是最全的数据集，请同学们选择下载。

Overadecadeago(nearlyeternityinInternetTime),RandalSchwartzwrotethefirsteditionofLearningPerl.Intheinterveningyears,Perlitselfhasgrownsubstantiallyfroma"cool"scriptinglanguageusedprimarilybyUnixsystemadministratorstoarobustobject-orientedprogramming(OOP)languagethatrunsonpracticallyeverycomputingplatformknowntomankind.Throughoutitsfoureditions,LearningPerlremainedthesamesize(about300pages)andcontinuedtocovermuchofthesamematerialtoremaincompactandaccessibletothebeginningprogrammer.ButthereismuchmoretolearnaboutPerlnowthanwhenthatfirstbookwaswritten.RandalcalledthefirsteditionofthisbookLearningPerlObjects,References,andModules,andnowit'sIntermediatePerl,butweliketothinkofitasjustLearningMorePerl.[*]ThisisthebookthatpicksupwhereLearningPerlleavesoff.WeshowyouhowtousePerltowritelargerprograms.[*]Don'taskwhyitisn'tcalledthat.Wemusthavehad300emailsonthesubject.Okay,ask,sinceweknowyou'regoingtoanyway.YouneverreallystoplearningPerl,soLearningMorePerldoesn'treallytellyoumuchaboutthebook.Oureditorchosethename,whichtellsyouwhattoexpect.AsinLearningPerl,wedesignedeachchaptertobesmallenoughtoreadinjustanhourorso.Eachchapterendswithaseriesofexercisestohelpyoupracticewhatyou'vejustlearned,andtheanswersareintheappendixforyourreference.AndlikeLearningPerl,we'vedevelopedthematerialinthisbookforateachingenvironmentanduseditinthatsetting,includingforourownuseatStonehengeConsultingServices,asweconducton-siteandopen-enrollmenttrainings.Youdon'thavetobeaUnixguru,orevenaUnixuser,tobenefitfromthisbook.Unlessotherwisenoted,everythinginthisbookappliesequallywelltoWindowsActivePerlfromActiveStateandallothermodernimplementationsofPerl.Tous

Wepresentanewedge-preservingimagesmoothingapproachbyincorporatinglocalfeaturesintoaholisticoptimizationframework.Ourmethodembodiesagradientconstrainttoenforcedetaileliminatingandanintensityconstrainttoachieveshapemaintaining.Thegradientsofhigh-contrastdetailsaresuppressedtoalowermagnitude,subsequenttowhichstructuraledgescanbelocated.Theintensitiesofasmallregionareregulatedtoresembletheinitialfabric,whichfacilitatesfurtherdetai

android版客户端小说阅读器demo，更好的实现了翻页效果，同时支持多点翻页，希望能为广大的同行们所支持，本人第一次分享自己的smallsoft

Thefilekarate.gmlcontainsthenetworkoffriendshipsbetweenthe34membersofakarateclubataUSuniversity,asdescribedbyWayneZacharyin1977.Ifyouusethesedatainyourwork,pleaseciteW.W.Zachary,Aninformationflowmodelforconflictandfissioninsmallgroups,JournalofAnthropologicalResearch33,452-473(1977).

使用光线追踪法生成一个立方体，修改smallpt代码，生成新的元素

ThisisasmalllibrarythatcantrainRestrictedBoltzmannMachines,andalsoDeepBeliefNetworksofstackedRBM's.TrainRBM's:%trainanRBMwithbinaryvisibleunitsand500binaryhiddenmodel=rbmBB(data,500);%visualizethelearnedweightsvisualize(model.W);Doclassification:model=rbmFit(data,500,labels);prediction=rbmPredict(model,testdata);TrainaDeepBeliefNetworkwith500,500,2000architectureforclassification:models=dbnFit(data,[5005002000],labels);prediction=dbnPredict(models,testdata);seeincludedexamplecodeformoreIcanbecontactedonandrej.karpathy@gmail.NOTE:ThiswasaclassprojectthatIworkedonfor1monthandthenabandoneddevelopmentforalmost4yearsago.Pleasedonotsendmespecificquestionsaboutissueswiththecodeorquestionsonhowtodosomething.Ionlyputthiscodeonlineinhopethatitcanbeusefultoothersbutcannotfullysupportit.Ifyouwouldlikepointerstomoreactivelymaintainedimplementations,havealookhere(https://github.com/rasmusbergpalm/DeepLearnToolbox)ormaybehere(https://github.com/lisa-lab/DeepLearningTutorials)Sorryandbestofluck!原文：http://code.google.com/p/matrbm/

喜歡你就看著下載吧

在日常工作中，钉钉打卡成了我生活中不可或缺的一部分。然而，有时候这个看似简单的任务却给我带来了不少烦恼。 每天早晚，我总是得牢记打开钉钉应用，点击"工作台"，再找到"考勤打卡"进行签到。有时候因为工作忙碌，会忘记打卡，导致考勤异常，影响当月的工作评价。而且，由于我使用的是苹果手机，有时候系统更新后，钉钉的某些功能会出现异常，使得打卡变得更加麻烦。 另外，我的家人使用的是安卓手机，他们也经常抱怨钉钉打卡的繁琐。尤其是对于那些不太熟悉手机操作的长辈来说，每次打卡都是一次挑战。他们总是担心自己会操作失误，导致打卡失败。 为了解决这些烦恼，我开始思考是否可以通过编写一个全自动化脚本来实现钉钉打卡。经过一段时间的摸索和学习，我终于成功编写出了一个适用于苹果和安卓系统的钉钉打卡脚本。