yrwzq's repositories
weiboSpider
新浪微博爬虫，用python爬取新浪微博数据
awesome-resume
包含简历常用例句
Best-websites-a-programmer-should-visit
:link: Some useful websites for programmers.
waterdrop
An easy-to-use, scalable, bigdata processing tool
awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
BigData-Interview
:dart: :star2:[大数据面试题]分享自己在网络上收集的大数据相关的面试题以及自己的答案总结.目前包含Hadoop/Hive/Spark/Flink/Hbase/Kafka/Zookeeper框架的面试题知识总结
ChineseBQB
🇨🇳Chinese sticker pack / **表情包大集合
ClickHouse-Native-JDBC
ClickHouse Native Protocol JDBC implementation
color-thief
Grab the color palette from an image using just Javascript. Works in the browser and in Node.
color-thief-java
Grabs the dominant color or a representative color palette from an image. A very fast Java port of Lokesh Dhakar's JavaScript version.
CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
flink-recommandSystem-demo
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。
gbdt-lr
gbdt+lr
God-Of-BigData
大数据面试题，大数据成神之路开启...Flink/Spark/Hadoop/Hbase/Hive...
HiveSQL
HiveSQL知识点、HQL实战、HiveSQL练习题
interview_internal_reference
2019年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。
interviewGuide
《大厂面试指北》——后端面试题精选，包括Java基础、JVM、数据库、mysql、redis、计算机网络、算法、数据结构、操作系统、设计模式、系统设计、框架原理（获取《大厂面试指北》PDF版本请关注我的公众号"大厂面试"，技术交流可以扫主页的二维码进群，希望给我一个Star，谢谢！） 最佳阅读地址：http://notfound9.github.io/interviewGuide/
JavaGuide
【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
LeetCode-in-Go
:mortar_board: Go Solution for LeetCode algorithm problems, 100% coverage, continually updating.
nmslib
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
OI-wiki
:star2: Wiki for OI / ICPC. （某大型游戏线上攻略，内含炫酷算术魔法）
Recommenders
Best Practices on Recommendation Systems
TextAnalyzer
A text analyzer which is based on machine learning,statistics and dictionaries that can analyze text. So far, it supports hot word extracting, text classification, part of speech tagging, named entity recognition, chinese word segment, extracting address, synonym, text clustering, word2vec model, edit distance, chinese word segment, sentence similarity,word sentiment tendency, name recognition, idiom recognition, placename recognition, organization recognition, traditional chinese recognition, pinyin transform.
TX-WORD2VEC-SMALL
腾讯word2vec模型缩小版
word
Java分布式中文分词组件 - word分词