Wednesday, August 14, 2019
Captured Aug 14, 2019, 3:33 PM CT · trending is a rolling 24-hour window ending at capture time.
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A curated list of awesome things related to HarmonyOS. 华为鸿蒙操作系统。
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⭐⭐⭐⭐秒杀系统设计与实现.互联网工程师进阶与分析 🙋 🐓
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xiaolai/regular-investing-in-box
定投改变命运 —— 让时间陪你慢慢变富
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PC版微信机器人
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code and manual
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Your self-hosted, globally interconnected microblogging community
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鸿蒙系统资料。Docs about HarmonyOS.
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trimstray/the-book-of-secret-knowledge
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
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Python - 100天从新手到大师
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❤️ 每日收集喜欢的开源项目
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it is a repository to store all slides used by Triton Ho's public presentation and course.
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To Be Top Javaer - Java工程师成神之路
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Standards either proposed or approved by the Framework Interop Group
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Magnificent app which corrects your previous console command.
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Build blazing fast, modern apps and websites with React
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🌱 🚀 一款现代化的脚手架项目。企业开发?接外包?赚外快?还是学习?这都能满足你,居家必备,值得拥有 🍻 整合Springboot2,单点登陆+tk.mybatis+shiro+redis+thymeleaf+maven+swagger前后端分离接口管理+代码生成+定时任务+数据库版本管理flyway+hutool工具包,等实用技术。
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Vay-keen/Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!
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spring boot demo 是一个用来学习 spring boot 的项目,总共包含 57 个集成demo,已经完成 47 个。包含集成 actuator(监控)、admin(可视化监控)、logback(日志)、aopLog(通过AOP记录web请求日志)、统一异常处理(json级别和页面级别)、freemarker(模板引擎)、thymeleaf(模板引擎)、Beetl(模板引擎)、Enjoy(模板引擎)、JdbcTemplate、JPA(ORM框架)、mybatis(ORM框架)、通用Mapper、PageHelper、mybatis-plus、BeetlSQL、upload(本地文件上传和七牛云文件上传)、redis(缓存)、ehcache(缓存)、email(发送各种类…
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APM, Application Performance Monitoring System
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Open source Minecraft clone built with ThreeJS, ReactJS, GraphQL, and NodeJS.
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C-OCR是携程自研的OCR项目,主要包括身份证、护照、火车票、签证等旅游相关证件、材料的识别。 项目包含4个部分,拒识、检测、识别、后处理。
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React components for faster and easier web development. Build your own design system, or start with Material Design.
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dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
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Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media






























































































