本文首发在吾爱破解:http://www.52pojie.cn/thread-429548-1-1.htmlDLL注入工具有很多,但是也有很多无法注入系统进程如explorer.exe,notepad.exe等,特别是Win7以上平台。
此注入工具核心注入部分使用NtCreateThreadEx+LdrLoadDlll方式实现,特色在于比一般的远程线程注入稳定,可以注入系统进程,服务进程等。
使用时请保存好手头工作,以免蓝屏(我调试时蓝过很多次)。
更多详情请参考:http://blog.csdn.net/sunflover454/article/details/50441014
2024/1/12 13:57:57 679KB DLL注入工具 dll注入器 LdrLoadDlll
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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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GetstartedwithPerl5andlearntheimportantcoreconceptsofPerlprogramming,suchasvariables,flowcontrol,expressions,andI/O.Additionally,thisbookcoverspatternmatchingandshowsthatPerlisextremelyflexibleandpowerful,andthatitisn’tafraidofthecloud.Afterreadingandusingthisbook,you’llbeabletostartwritingyourownpowerfulscriptstosolvemanywebandprogrammingproblems.Thisisabookforthoseofuswhobelievedthatwedidn’tneedtolearnPerl,andnowweknowitismoreubiquitousthanever.You’llseethatPerlhasevolvedintoamultipurpose,multiplatformlanguagepresentabsolutelyeverywhere:heavy-dutywebapplications,thecloud,systemsadministration,naturallanguageprocessing,andfinancialengineering.ThisbookprovidesvaluableinsightintoPerl’sroleregardingallofthesetasksandmoregivingyouagreatstartinyourPerlprogrammingadventure.WhatYouWillLearnPerformoperationsonscalarvaluesUsescalar,array,andassociativearrayvariablesWorkwithflowcontrolstatementssuchasif,unless,while,until,for,andforeachReadandwritedirectlytofileswithfilehandlesUseconditionalexpressionssuchasnumericandstringcomparison,regularexpressions,filetesting,andPerlstatementsFormatoutputwithformatstatementsSearchforandreplacesub-stringswithinastringusingregularexpressionsMasterPerlutilitiessuchassplit,join,indexandmoreControlthefilesystemandprocessesfromwithinaPerlscriptBuildfunctionsfortasksincludinghandlingthescopeofvariablesImportexistingmodulesintoyourPerlscriptWhoThisBookIsForThosewhoarenewtoPerl.
2023/12/26 6:12:24 3.17MB Perl 5
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Thisneweditiontotheclassicbookbyggplot2creatorHadleyWickhamhighlightscompatibilitywithknitrandRStudio.ggplot2isadatavisualizationpackageforRthathelpsuserscreatedatagraphics,includingthosethataremulti-layered,withease.Withggplot2,it'seasyto:producehandsome,publication-qualityplotswithautomaticlegendscreatedfromtheplotspecificationsuperimposemultiplelayers(points,lines,maps,tiles,boxplots)fromdifferentdatasourceswithautomaticallyadjustedcommonscalesaddcustomizablesmoothersthatusepowerfulmodelingcapabilitiesofR,suchasloess,linearmodels,generalizedadditivemodels,androbustregressionsaveanyggplot2plot(orpartthereof)forlatermodificationorreusecreatecustomthemesthatcapturein-houseorjournalstylerequirementsandthatcaneasilybeappliedtomultipleplotsapproachagraphfromavisualperspective,thinkingabouthoweachcomponentofthedataisrepresentedonthefinalplotThisbookwillbeusefultoeveryonewhohasstruggledwithdisplayingdatainaninformativeandattractiveway.SomebasicknowledgeofRisnecessary(e.g.,importingdataintoR).ggplot2isamini-languagespecificallytailoredforproducinggraphics,andyou'lllearneverythingyouneedinthebook.Afterreadingthisbookyou'llbeabletoproducegraphicscustomizedpreciselyforyourproblems,andyou'llfinditeasytogetgraphicsoutofyourheadandontothescreenorpage.TableofContentsPartIGettingStartedChapter1IntroductionChapter2GettingStartedwithggplot2Chapter3ToolboxPartIITheGrammarChapter4MasteringtheGrammarChapter5BuildaPlotLayerbyLayerChapter6Scales,AxesandLegendsChapter7PositioningChapter8ThemesPartIIIDataAnalysisChapter9DataAnalysisChapter10DataTransformationChapter11ModellingforVisualisationChapter12Programmingwithggplot2
2023/12/24 22:43:17 9.05MB ggplot2 Data Analysis
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Qt5.2及以上版本如果使用的是mingw编译器,Qt只有32位的。
连接64位的mysql,即使把mysql安装目录下的libmysql.dll放到qt安装目录bin路径下,也是无法连接数据库。
网上给出的做法是下载Qt对应版本的源码,重新编译。
这种方法复杂繁琐,且容易编译失败。
这里提供了mysql官方给出的连接32位qt的驱动。
2023/12/23 19:22:08 4.54MB QT连接mysql 驱动文件
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├─5.1│└─bin│liblua51.lib│lua.exe│lua51.dll│lua51.lib│luac.exe│luadec.exe│luaopswap.exe│luareplace.exe│├─5.2│└─bin│liblua52.lib│lua.exe│lua52.dll│lua52.lib│luac.exe│luadec.exe│luaopswap.exe│luareplace.exe│└─5.3└─binliblua53.liblua.exelua53.dlllua53.libluac.exeluadec.exeluaopswap.exeluareplace.exe
2023/12/15 5:02:12 1.78MB lua luadec luareplace luac
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ReactNativehelpsdevelopersreusecodeacrossdifferentmobileplatformslikeiOSandAndroid.ThisbookwillshowyoueffectivedesignpatternsintheReactNativeworldandwillmakeyoureadyforprofessionaldevelopmentinbigteams.ThebookwillfocusonlyonthepatternsthatarerelevanttoJavaScript,ECMAScript,ReactandReactNative.However,youcansuccessfullytransferalotoftheskillsandtechniquestootherlanguages.Icallthem“Ideapatterns”.ThisbookwillstartwiththemoststandarddevelopmentpatternsinReactlikecomponentbuildingpatterns,stylingpatternsinReactNativeandthenextendthesepatternstoyourmobileapplicationusingrealworldpracticalexamples.Eachchaptercomeswithfull,separatesourcecodeofapplicationsthatyoucanbuildandrunonyourphone.Thebookisalsodivingintoarchitecturalpatterns.EspeciallyhowtoadaptMVCtoReactenvironment.YouwilllearnFluxarchitectureandhowReduxisimplementingit.Eachapproachwillbepresentedwithitsprosandcons.YouwilllearnhowtoworkwithexternaldatasourcesusinglibrarieslikeReduxthunkandReduxSaga.
2023/12/9 0:57:40 6.11MB react native design patterns
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Masterthefundamentalsofdiscretemathematicsandproof-writingwithMATHEMATICS:ADISCRETEINTRODUCTION!Withaclearpresentation,themathematicstextteachesyounotonlyhowtowriteproofs,buthowtothinkclearlyandpresentcaseslogicallybeyondthiscourse.Thoughitispresentedfromamathematician'sperspective,youwilllearntheimportanceofdiscretemathematicsinthefieldsofcomputerscience,engineering,probability,statistics,operationsresearch,andotherareasofappliedmathematics.Toolssuchhintsandprooftemplatesprepareyoutosucceedinthiscourse.
2023/12/1 8:06:27 3.63MB 离散数学 discrete mat
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经典的shell实验,实验内容为实验一个unix下的简易的shell程序,搞懂了这个程序对于unix下的sigal机制会有一个更深入的理解,CMU大学(卡耐基梅隆大学)经典计算机课程实验之一,里面含有实验完整内容及其源程序,还有详细的解答过程,很多国内大学的计算机课程都选用此实验作为其课程设计之一!
2023/11/19 11:12:52 290KB CSAPP shell lab
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Thisbookcoversalgorithmicandhardwareimplementationtechniquestoenableembeddeddeeplearning.Theauthorsdescribesynergeticdesignapproachesontheapplication-,algorithmic-,computerarchitecture-,andcircuit-levelthatwillhelpinachievingthegoalofreducingthecomputationalcostofdeeplearningalgorithms.Theimpactofthesetechniquesisdisplayedinfoursiliconprototypesforembeddeddeeplearning.Givesawideoverviewofaseriesofeffectivesolutionsforenergy-efficientneuralnetworksonbatteryconstrainedwearabledevices;Discussestheoptimizationofneuralnetworksforembeddeddeploymentonalllevelsofthedesignhierarchy–applications,algorithms,hardwarearchitectures,andcircuits–supportedbyrealsiliconprototypes;ElaboratesonhowtodesignefficientConvolutionalNeuralNetworkprocessors,exploitingparallelismanddata-reuse,sparseoperations,andlow-precisioncomputations;Supportstheintroducedtheoryanddesignconceptsbyfourrealsiliconprototypes.Thephysicalrealization’simplementationandachievedperformancesarediscussedelaboratelytoillustratedandhighlighttheintroducedcross-layerdesignconcepts.
2023/11/9 17:10:44 8.32MB 嵌入式
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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