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javafamily

【互联网一线大厂面试+学习指南】

javahome

一份超级详细的Java面试题【大厂面试真题+Java学习指南+工作总结】

jdbc-oracle-

JDBC实现Oracle数据库的增删改查

jdbcmanagesystem

jdk-source-analysis

JDK 源码分析

jquery_choosebackgroud

jQuery实现主题色选择

jquery_choosecolum

jQuery实现栏目选择

jquery_choosedate

jquery实现日期选择

jquery_menu

jQuery实现下拉菜单

jvm

Java内存模型

layering-cache

为监控而生的分布式多级缓存框架

leetcode

Provide all my solutions and explanations in Chinese for all the Leetcode coding problems.

leetcode-java

leetcode 解题方法 Java 语言描述，包含各种常见解题模板和各个题目出题频率

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

leetcodetop

linuxtools_rst

Linux工具快速教程

locality-sensitive-hashing

min-hash and p-stable hash

lshrecommender

markdown-resume

⭐️ Markdown 简历模版

matrix-factorization

Matrix factorization for recommender systems using ALS and Parallelized SGD

mean-shift-lsh

Scala/Spark implementation of Distributed Nearest Neighbours Mean Shift using LSH

miaosha

⭐⭐⭐⭐秒杀系统设计与实现.互联网工程师进阶与分析🙋🐓

mlbox

Machine Learning Algorithms implementations

movie-recommendation-system

Movie Recommendation System using the MovieLens dataset

movie-recommender

Movie recommender using Stochastic Gradient Descent (SGD) algorithm

movie-recommender-system

A movie recommender system based on MovieLens Dataset

movielens

使用 Spark MLlib 的 ALS 算法的电影推荐系统

movielens-1

MovieLens Recommender System

movielens-analysis

Analysis and model implementations for movie recommender systems around the MovieLens dataset

movielens-recommender

A pure Python implement of Collaborative Filtering based on MovieLens' dataset.