提交 40760619 编写于 作者: Miykael_xxm's avatar Miykael_xxm 🚴

update

上级 e34e2c0d
{
"游戏": {
"id": 2,
"subTags": [
"游戏引擎",
"unity",
"unity3d",
"pygame",
"cocos2d",
"cocos2d-x",
"cocos2d-java",
"corona sdk",
"cryengine",
"小游戏",
"VR",
"AR"
]
},
"编程语言": {
"id": 1,
"subTags": [
"c",
"c++",
"c#",
"perl",
"java",
"erlang",
"go",
"javascript",
"objective-c",
"kotlin",
"swift",
"qt",
"lua",
"ruby",
"bash",
"batch",
"julia",
"r",
"scala",
"Julia",
"typescript",
"php",
"python",
"rust"
]
}
}
\ No newline at end of file
......@@ -12,71 +12,71 @@
{
"id" : 3 ,
"name" : "前端" ,
"tags" : "Javascript, vue/vue.js, layui, jquery, node.js, angular, easyui, javascript, elementui, react, echarts, bootstrap, ecmascript, typescript, jqgrid"
"tags" : ["Javascript","vue/vue.js","layui","jquery","node.js","angular","easyui","javascript","elementui","react","echarts","bootstrap","ecmascript","typescript","jqgrid"]
},
{
"id" : 4 ,
"name" : "数据库" ,
"tags" : "mysql, oracle, sqlserver, mongodb, postgresql, navicat, database, redis, sqlite, big data, spark, kafka, hadoop, zookeeper, rabbitmq, flume, elasticsearch, hbase, hive, flink, storm, 时序数据库, tsdb, mssql"
"tags" : ["mysql","oracle","sqlserver","mongodb","postgresql","navicat","database","redis","sqlite","big data","spark","kafka","hadoop","zookeeper","rabbitmq","flume","elasticsearch","hbase","hive","flink","storm","时序数据库","tsdb","mssql"]
},
{
"id" : 5 ,
"name" : "数据结构与算法" ,
"tags" : "数据结构, 链表, 散列表, 宽度优先, 广度优先, 深度优先, 迭代加深, 启发式算法, 图搜索算法, 动态规划, 爬山算法, 模拟退火算法, 算法, 贪心算法, 排序算法, 决策树, 最小二乘法, 逻辑回归, 线性回归, 支持向量机, svm, 近邻算法, 均值算法, kmeans, 随机森林, leetcode, 预编码算法, 红黑树, 二叉树, b树, 霍夫曼树, 插入排序, 堆排序, 剪枝, 合并排序, 哈希算法, 推荐算法"
"tags" : ["数据结构","链表","散列表","宽度优先","广度优先","深度优先","迭代加深","启发式算法","图搜索算法","动态规划","爬山算法","模拟退火算法","算法","贪心算法","排序算法","决策树","最小二乘法","逻辑回归","线性回归","支持向量机","svm","近邻算法","均值算法","kmeans","随机森林","leetcode","预编码算法","红黑树","二叉树","b树","霍夫曼树","插入排序","堆排序","剪枝","合并排序","哈希算法","推荐算法"]
},
{
"id" : 6 ,
"name" : "人工智能" ,
"tags" : "tensorflow, pytorch, opencv, keras, caffe, scikit-learn, sklearn, pytorch, mxnet, mllib, paddlepaddle, jittor, deeplearning4j, tensorrt, mnn, mmlab, x-deep learning, mindspore, tensorrt, 机器学习, 集成模型, xgboost, lightbgm, adboost, boosting, 概率图模型, 最大期望算法, 聚类/clustering, 深度学习, 神经网络, 门控循环单元, 长短期记忆, 迁移学习, 图神经网络, 生成对抗网络, 图卷积, 推荐模型, deepfm, 智能推荐, 协同过滤, 语音识别, 监督学习, 无监督学习, 半监督学习, 集成学习, 迁移学习, 主成分分析, 奇异值分解, 计算机视觉, 边缘检测, 目标检测, 动作检测, 行人检测, 目标跟踪, 语义分割, 图像处理, 数据增广, 超分辨率算法, 图像生成, alexnet, googlenet, yolo, 强化学习, 马尔可夫决策过程, 自然语言处理, 语言模型, 语义理解, 情感分析, 指代消歧, 依存解析, 语言建模, 机器翻译, 自动摘要, 自然语言推理, elmo, transformer, xlnet, doc2vec, skipgram, cbow, bert, albert, nnlm, lda/主题模型, glove, 词嵌入, cnn, rnn, lstm, 分类, 朴素贝叶斯, 非最大值抑制, 人机对话, 知识图谱, 实体消歧, 信息抽取, 图计算, 联邦学习, deepdive, bert"
"tags" : ["tensorflow","pytorch","opencv","keras","caffe","scikit-learn","sklearn","pytorch","mxnet","mllib","paddlepaddle","jittor","deeplearning4j","tensorrt","mnn","mmlab","x-deep learning","mindspore","tensorrt","机器学习","集成模型","xgboost","lightbgm","adboost","boosting","概率图模型","最大期望算法","聚类/clustering","深度学习","神经网络","门控循环单元","长短期记忆","迁移学习","图神经网络","生成对抗网络","图卷积","推荐模型","deepfm","智能推荐","协同过滤","语音识别","监督学习","无监督学习","半监督学习","集成学习","迁移学习","主成分分析","奇异值分解","计算机视觉","边缘检测","目标检测","动作检测","行人检测","目标跟踪","语义分割","图像处理","数据增广","超分辨率算法","图像生成","alexnet","googlenet","yolo","强化学习","马尔可夫决策过程","自然语言处理","语言模型","语义理解","情感分析","指代消歧","依存解析","语言建模","机器翻译","自动摘要","自然语言推理","elmo","transformer","xlnet","doc2vec","skipgram","cbow","bert","albert","nnlm","lda/主题模型","glove","词嵌入","cnn","rnn","lstm","分类","朴素贝叶斯","非最大值抑制","人机对话","知识图谱","实体消歧","信息抽取","图计算","联邦学习","deepdive","bert"]
},
{
"id" : 7 ,
"name" : "开发工具" ,
"tags" : "idea, jupyter, pycharm, vscode, eclipse, vim, phpstorm, myeclipse, git, github, svn, visualstudio, jupytet, postman"
"tags" : ["idea","jupyter","pycharm","vscode","eclipse","vim","phpstorm","myeclipse","git","github","svn","visualstudio","jupytet","postman"]
},
{
"id" : 8 ,
"name" : "网络" ,
"tags" : "网络协议, tcp, tcp/ip, udp, websocket, 网络安全"
"tags" : ["网络协议","tcp","tcp/ip","udp","websocket","网络安全"]
},
{
"id" : 9 ,
"name" : "嵌入式" ,
"tags" : "arm, 物联网, iot, mcu, 51单片机, stm32, proteus, 嵌入式硬件, 单片机, 嵌入式实时数据库, rtdbs"
"tags" : ["arm","物联网","iot","mcu","51单片机","stm32","proteus","嵌入式硬件","单片机","嵌入式实时数据库","rtdbs"]
},
{
"id" : 10 ,
"name" : "区块链" ,
"tags" : "比特币, libra, 以太坊, 数字货币, 去中心化, 分布式账本, 信任链"
"tags" : ["比特币","libra","以太坊","数字货币","去中心化","分布式账本","信任链"]
},
{
"id" : 11 ,
"name" : "移动开发" ,
"tags" : "Flutter, iOS, xcode, macos, android, electron, Xamarin"
"tags" : ["Flutter","iOS","xcode","macos","android","electron","Xamarin"]
},
{
"id" : 12 ,
"name" : "微软开发" ,
"tags" : ".netcore, asp.net, c#, typescript, linq, hololens, mssql, azure, WPF, MFC"
"tags" : [".netcore","asp.net","c#","typescript","linq","hololens","mssql","azure","WPF","MFC"]
},
{
"id" : 13 ,
"name" : "测试" ,
"tags" : "单元测试, 集成测试, 测试覆盖率, 模块测试, 压力测试, 测试工具, 安全性测试, 威胁分析, 测试用例, 可用性测试, AB测试"
"tags" : ["单元测试","集成测试","测试覆盖率","模块测试","压力测试","测试工具","安全性测试","威胁分析","测试用例","可用性测试","AB测试"]
},
{
"id" : 14 ,
"name" : "软件工程" ,
"tags" : "需求分析, 规格说明书, 结对编程, 极限编程, sprint, scrum, 敏捷流程, jira, github, tfs"
"tags" : ["需求分析","规格说明书","结对编程","极限编程","sprint","scrum","敏捷流程","jira","github","tfs"]
},
{
"id" : 15 ,
"name" : "设计模式" ,
"tags" : "UML, 开闭原则, 里氏替换原则, 依赖倒置原则, 单一职责原则, 接口隔离原则, 迪米特法则, 合成复用原则, 单例模式, 原型模式, 简单工厂模式, 工厂方法模式, 抽象工厂模式, 建造者模式, 代理模式, 适配器模式, 桥接模式, 装饰器模式, 外观模式, 享元模式, 组合模式, 模板方法模式, 策略模式, 命令模式, 责任链模式, 状态模式, 观察者模式, 中介者模式, 迭代器模式, 访问者模式, 备忘录模式, 解释器模式"
"tags" : ["UML","开闭原则","里氏替换原则","依赖倒置原则","单一职责原则","接口隔离原则","迪米特法则","合成复用原则","单例模式","原型模式","简单工厂模式","工厂方法模式","抽象工厂模式","建造者模式","代理模式","适配器模式","桥接模式","装饰器模式","外观模式","享元模式","组合模式","模板方法模式","策略模式","命令模式","责任链模式","状态模式","观察者模式","中介者模式","迭代器模式","访问者模式","备忘录模式","解释器模式"]
},
{
"id" : 16 ,
"name" : "操作系统" ,
"tags" : "linux, windows, win10, gnu , octave, ios, macos, blackberry, 鸿蒙, centos, ubuntu"
"tags" : ["linux","windows","win10","gnu","octave","ios","macos","blackberry","鸿蒙","centos","ubuntu"]
}
]
\ No newline at end of file
["编程语言"]
id = 1
subTags = [
"c",
"c++",
"c#",
"perl",
"java",
"erlang",
"go",
"javascript",
"objective-c",
"kotlin",
"swift",
"qt",
"lua",
"ruby",
"bash",
"batch",
"julia",
"r",
"scala",
"Julia",
"typescript",
"php",
"python",
"rust"
]
["游戏"]
id = 2
subTags = [
"游戏引擎",
"unity",
"unity3d",
"pygame",
"cocos2d",
"cocos2d-x",
"cocos2d-java",
"corona sdk",
"cryengine",
"小游戏",
"VR",
"AR"
]
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