看雪论坛的工具集合,很不错。
Dedot-AdeobfuscatorforDotfuscatorDePhe-DeobfuscatorforPhoenixProtectorDeSmart-Deobfuscatorfor{SmartAssembly}DotNetId(检测何种.NET混淆器加壳)GACVerifier(检测GAC程序集是否被篡改)XeCoString-DeobfuscatorforXenocode
2024/5/5 12:06:29 3.93MB 反混淆 .net 逆向工程
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使用gRPC拦截器进行Prometheus监控用于服务器和客户端的监视。
姊妹实现(相同的度量标准,相同的语义)在。
拦截器最近获得了对Interceptor的支持,即在请求传递到用户的应用程序逻辑之前由gRPCServer执行的中间件。
这是实现常见模式的理想方法:身份验证,日志记录和...监视。
要在链中使用拦截器,请参阅。
该库需要Go1.9或更高版本。
用法拦截器有两种类型:客户端和服务器端。
该软件包为两者提供监视拦截器。
服务器端import"github.com/grpc-ecosystem/go-grpc-prometheus"...//I
2024/4/15 14:05:09 43KB golang monitoring metrics grpc
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Theavailabilityoflargedatasetshasallowedresearcherstouncovercomplexpropertiessuchaslarge-scalefluctuationsandheterogeneitiesinmanynetworks,leadingtothebreakdownofstandardtheoreticalframeworksandmodels.Untilrecentlythesesystemswereconsideredashaphazardsetsofpointsandconnections.Recentadvanceshavegeneratedavigorousresearcheffortinunderstandingtheeffectofcomplexconnectivitypatternsondynamicalphenomena.Thisbookpresentsacomprehensiveaccountoftheseeffects.Avastnumberofsystems,fromthebraintoecosystems,powergridsandtheInternet,canberepresentedaslargecomplexnetworks.Thisbookwillinterestgraduatestudentsandresearchersinmanydisciplines,fromphysicsandstatisticalmechanics,tomathematicalbiologyandinformationscience.Itsmodularapproachallowsreaderstoreadilyaccessthesectionsofmostinteresttothem,andcomplicatedmathsisavoidedsothetextcanbeeasilyfollowedbynon-expertsinthesubject.
2024/4/13 10:16:27 7.08MB Complex Networks
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DigitalSigncryptionorHowtoAchieveCost(Signature&Encryption)<<Cost(Signature)+Cost(Encryption)
2024/3/5 1:16:24 872KB PKI 签密
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GettogripswithmodernsoftwaredemandsbylearningtheeffectiveusesofRust'spowerfulmemorysafety.KeyFeaturesLearnandimprovethesequentialperformancecharacteristicsofyoursoftwareUnderstandtheuseofoperatingsystemprocessesinahigh-scaleconcurrentsystemLearnofthevariouscoordinationmethodsavailableintheStandardlibraryBookDescriptionMostprogramminglanguagescanreallycomplicatethings,especiallywithregardtounsafememoryaccess.Theburdenonyou,theprogrammer,liesacrosstwodomains:understandingthemodernmachineandyourlanguage'spain-points.Thisbookwillteachyoutohowtomanageprogramperformanceonmodernmachinesandbuildfast,memory-safe,andconcurrentsoftwareinRust.ItstartswiththefundamentalsofRustanddiscussesmachinearchitectureconcepts.YouwillbetakenthroughwaystomeasureandimprovetheperformanceofRustcodesystematicallyandhowtowritecollectionswithconfidence.YouwilllearnabouttheSyncandSendtraitsappliedtothreads,andcoordinatethreadexecutionwithlocks,atomicprimitives,data-parallelism,andmore.ThebookwillshowyouhowtoefficientlyembedRustinC++codeandexplorethefunctionalitiesofvariouscratesformultithreadedapplications.Itexploresimplementationsindepth.Youwillknowhowamutexworksandbuildseveralyourself.Youwillmasterradicallydifferentapproachesthatexistintheecosystemforstructuringandmanaginghigh-scalesystems.Bytheendofthebook,youwillfeelcomfortablewithdesigningsafe,consistent,parallel,andhigh-performanceapplicationsinRust.WhatyouwilllearnProbeyourprogramsforperformanceandaccuracyissuesCreateyourownthreadingandmulti-processingenvironmentinRustUsecoarselocksfromRust’sStandardlibrarySolvecommonsynchronizationproblemsoravoidsynchronizationusingatomicprogrammingBuildlock-free/wait-freestructuresinRustandunderstandtheirimplementat
2024/2/28 3:43:03 1.9MB rust concurrency 并发 rust语言
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Deeplearningsimplifiedbytakingsupervised,unsupervised,andreinforcementlearningtothenextlevelusingthePythonecosystemTransferlearningisamachinelearning(ML)techniquewhereknowledgegainedduringtrainingasetofproblemscanbeusedtosolveothersimilarproblems.Thepurposeofthisbookistwo-fold;firstly,wefocusondetailedcoverageofdeeplearning(DL)andtransferlearning,comparingandcontrastingthetwowitheasy-to-followconceptsandexamples.Thesecondareaoffocusisreal-worldexamplesandresearchproblemsusingTensorFlow,Keras,andthePythonecosystemwithhands-onexamples.ThebookstartswiththekeyessentialconceptsofMLandDL,followedbydepictionandcoverageofimportantDLarchitecturessuchasconvolutionalneuralnetworks(CNNs),deepneuralnetworks(DNNs),recurrentneuralnetworks(RNNs),longshort-termmemory(LSTM),andcapsulenetworks.Ourfocusthenshiftstotransferlearningconcepts,suchasmodelfreezing,fine-tuning,pre-trainedmodelsincludingVGG,inception,ResNet,andhowthesesystemsperformbetterthanDLmodelswithpracticalexamples.Intheconcludingchapters,wewillfocusonamultitudeofreal-worldcasestudiesandproblemsassociatedwithareassuchascomputervision,audioanalysisandnaturallanguageprocessing(NLP).Bytheendofthisbook,youwillbeabletoimplementbothDLandtransferlearningprinciplesinyourownsystems.WhatyouwilllearnSetupyourownDLenvironmentwithgraphicsprocessingunit(GPU)andCloudsupportDelveintotransferlearningprincipleswithMLandDLmodelsExplorevariousDLarchitectures,includingCNN,LSTM,andcapsulenetworksLearnaboutdataandnetworkrepresentationandlossfunctionsGettogripswithmodelsandstrategiesintransferlearningWalkthroughpotentialchallengesinbuildingcomplextransferlearningmodelsfromscratchExplorereal-worldresearchproblemsrelatedtocompute
2023/12/27 0:34:49 46.15MB Transfer Lea Python
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同望WECOST公路工程造价管理软件同望公路V9.7.1新驱动
2023/12/21 2:35:35 1.07MB 同望
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Cross-ScaleCostAggregationforStereoMatching论文的代码,即CSCA算法代码
2023/11/13 12:08:25 101KB CSCA Code Stereo Matching
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eCOS由Redhat推出的小型即时操作系统(Real-Timeoperatingsystem),最低编译核心可小至10K的级别,适合用于作bootloader增强,微小型系统。
此系统和嵌入式Linux系统的差异是他将操作系统做成静态连结(staticlibrary)的方式,让应用程式透过连结(linker)产生出具有操作系统的特性的应用程式。
eCOS的全称为embeddedConfigurationoperatingsystem,eCOS是开放原码、免权利金的即时作业系统,这套作业系统是针对嵌入式系统及应用而设计,因此是以单一个行程1)再搭配多个执行绪的方式来执行
2023/11/10 8:40:05 11.26MB ecos 3.0
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Over110effectiverecipestohelpyoubuildandoperateOpenStackcloudcomputing,storage,networking,andautomationAboutThisBookExploremanynewfeaturesofOpenStack'sJunoandKiloreleasesInstall,configure,andadministercoreprojectswiththehelpofOpenStackObjectStorage,BlockStorage,andNeutronNetworkingservicesHarnesstheabilitiesofexperiencedOpenStackadministratorsandarchitects,andrunyourownprivatecloudsuccessfullyPractical,real-worldexamplesofeachserviceandanaccompanyingVagrantenvironmentthathelpsyoulearnquicklyInDetailOpenStackOpenSourcesoftwareisoneofthemostusedcloudinfrastructurestosupportsoftwaredevelopmentandbigdataanalysis.Itisdevelopedbyathrivingcommunityofindividualdevelopersfromaroundtheglobeandbackedbymostoftheleadingplayersinthecloudspacetoday.Itissimpletoimplement,massivelyscalable,andcanstorealargepoolofdataandnetworkingresources.OpenStackhasastrongecosystemthathelpsyouprovisionyourcloudstorageneeds.AddOpenStack'senterprisefeaturestoreducethecostofyourbusiness.Thisbookwillshowyouthestepstobuildupaprivatecloudenvironment.Atthebeginning,you'lldiscovertheusesofcloudservicessuchastheidentityservice,imageservice,andcomputeservice.You'lldiveintoNeutron,theOpenStackNetworkingservice,andgetyourhandsdirtywithconfiguringML2,networks,routers,andDistributedVirtualRouters.You'llthengathermoreexpertknowledgeonOpenStackcloudcomputingbymanagingyourcloud'ssecurityandmigration.Afterthat,wedelveintoOpenStackObjectstorageandhowtomanageserversandworkwithobjects,cluster,andstoragefunctionalities.Also,asyougodeeperintotherealmofOpenStack,you'lllearnpracticalexamplesofBlockstorage,LBaaS,andFWaaS:installationandconfigurationcoveredgroundup.Finally,youwilllearnOpenStackdashboard,AnsibleandForeman,Key
2023/10/11 16:43:27 7.15MB OpenStack Cloud
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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。
2024-04-09 15:03 15KB 钉钉 钉钉打卡