Pinned Repositories
alluxio
Alluxio, data orchestration for analytics and machine learning in the cloud
ambari-in-docker
ambari in docker
awesome-programming-books
经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
calcite
Mirror of Apache Calcite
cnchess
基于swing实现的人人对战中国象棋
Data-Science-with-Python
Combine Python with machine learning principles to discover hidden patterns in raw data
dnsjava
dnsjava - an implementation of the DNS protocol in Java
effective-java-3e-source-code
The source code from the third edition of Effective Java, with minor additions as necessary to make it runnable.
eleeye
ElephantEye - a XiangQi (Chinese Chess) Engine for XQWizard with Strong AI
ensemble-learning-for-ai-developers
Source Code for 'Ensemble Learning for AI Developers' by Alok Kumar and Mayank Jain
flaming-archer's Repositories
flaming-archer/alluxio
Alluxio, data orchestration for analytics and machine learning in the cloud
flaming-archer/ambari-in-docker
ambari in docker
flaming-archer/awesome-programming-books
经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
flaming-archer/calcite
Mirror of Apache Calcite
flaming-archer/cnchess
基于swing实现的人人对战中国象棋
flaming-archer/Data-Science-with-Python
Combine Python with machine learning principles to discover hidden patterns in raw data
flaming-archer/effective-java-3e-source-code
The source code from the third edition of Effective Java, with minor additions as necessary to make it runnable.
flaming-archer/eleeye
ElephantEye - a XiangQi (Chinese Chess) Engine for XQWizard with Strong AI
flaming-archer/ensemble-learning-for-ai-developers
Source Code for 'Ensemble Learning for AI Developers' by Alok Kumar and Mayank Jain
flaming-archer/flaming-archer
flaming-archer/hadoop
Apache Hadoop
flaming-archer/hadoop-docker
Setup Hadoop cluster and Hive with Docker
flaming-archer/json-viewer
It is a Chrome extension for printing JSON and JSONP.
flaming-archer/waggle-dance
Hive federation service. Enables disparate tables to be concurrently accessed across multiple Hive deployments.