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scales123's Projects

daily-interview icon daily-interview

Datawhale成员整理的面经,内容包括机器学习,CV,NLP,推荐,开发等,欢迎大家star

dive-into-dl-pytorch icon dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

flink-learning icon flink-learning

flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例,还有 Flink 落地应用的大型项目案例(PVUV、日志存储、百亿数据实时去重、监控告警)分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》

flink-recommandsystem-demo icon flink-recommandsystem-demo

:helicopter::rocket:基于Flink实现的商品实时推荐系统。flink统计商品热度,放入redis缓存,分析日志信息,将画像标签和实时记录放入Hbase。在用户发起推荐请求后,根据用户画像重排序热度榜,并结合协同过滤和标签两个推荐模块为新生成的榜单的每一个产品添加关联产品,最后返回新的用户列表。

incubator-kie-optaplanner icon incubator-kie-optaplanner

AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.

learn_python3_spider icon learn_python3_spider

python爬虫教程系列、从0到1学习python爬虫,包括浏览器抓包,手机APP抓包,如 fiddler、mitmproxy,各种爬虫涉及的模块的使用,如:requests、beautifulSoup、selenium、appium、scrapy等,以及IP代理,验证码识别,Mysql,MongoDB数据库的python使用,多线程多进程爬虫的使用,css 爬虫加密逆向破解,JS爬虫逆向,分布式爬虫,爬虫项目实战实例等

military-equipment-knowledge-graph-based-on-deep-learning-and-neo4j icon military-equipment-knowledge-graph-based-on-deep-learning-and-neo4j

基于深度学习与Neo4j的军事装备知识图谱网页应用构建。本项目是一个军事武器知识图谱网页应用软件原型系统。该系统由数据爬虫、数据管理、数据处理、知识问答、新闻热点、词条查询和图谱展示七个功能模块组成。系统从互联网上爬取数据,并基于百度文心ERNIE 3.0模型对数据进行实体识别和关系抽取,将数据处理为三元组形式并存储到图数据库Neo4j中。通过数据管理和数据标注,并通过对Neo4j中的三元组数据进行自动处理和分析,实现知识问答、新闻热点、词条查询和图谱展示的功能。

ml-nlp icon ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。

nlp-tutorial icon nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

pat icon pat

🍭 浙江大学PAT题解(C/C++/Java/Python) - 努力成为萌萌的程序媛~

pymatgen icon pymatgen

Python Materials Genomics (pymatgen) is a robust materials analysis code that defines core object representations for structures and molecules with support for many electronic structure codes. It is currently the core analysis code powering the Materials Project.

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