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michaelldd's Projects

incubator-kyuubi icon incubator-kyuubi

Apache Kyuubi is a distributed multi-tenant JDBC server for large-scale data processing and analytics, built on top of Apache Spark

incubator-superset icon incubator-superset

Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application

interview_internal_reference icon 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。

it-interviews-sharing icon it-interviews-sharing

Sharing many well-known companies' Interview questions during my preparation for job. These companies include Microsoft, alibaba, baidu, tecent, sogou, 360, youku and so on. Most interview questions have detailed answers and skills.

java-lsh icon java-lsh

A Java implementation of Locality Sensitive Hashing (LSH)

javaguide icon 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。准备 Java 面试，首选 JavaGuide！

klio icon klio

Smarter data pipelines for audio.

leetcode icon leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

leetcode-sol-res icon leetcode-sol-res

Clean, Understandable Solutions and Resources for LeetCode Online Judge Algorithms Problems.

leetcodeanimation icon 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）

legendshop icon legendshop

Automatically exported from code.google.com/p/legendshop

librosa icon librosa

Python library for audio and music analysis

lightfm icon lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

litemall icon litemall

又一个小商城。litemall = Spring Boot后端 + Vue管理员前端 + 微信小程序用户前端 + Vue用户移动端

lsh-scala icon lsh-scala

A Locality-Sensitive Hashing Library for Scala with optional Redis storage.

lsh-spark icon lsh-spark

Locality Sensitive Hashing for Apache Spark

lshash icon lshash

A fast Python implementation of locality sensitive hashing.

machine-learning-learning-notes icon 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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