SKlearn在Spark上的拓展源码包

利用卷积神经网络对遥感图像进行分类，能够有效提高分类效率(Classification of Remote Sensing Images by Convolutional Neural Network)

redis未授权访问扫描脚本，python编写，多线程

中文版第15页第一段提到的接口例子程序的学习代码(The learning code of the interface example program mentioned in the first paragraph of page 15 of the Chinese version)

说明：  python与zemax间的连接通信文档，包括Public Member Functions、Properties、Events、Detailed Description等。(communication between python and zemax, including Public Member Functions, Properties, Events, Detailed Description, etc.)

带有Python界面的EMDEEMDCEEMDAN的程序，做信号处理。(libeemd is a C library for performing the ensemble empirical mode decomposition (EEMD), its complete variant (CEEMDAN) or the regular empirical mode decomposition (EMD). It includes a Python interface called pyeemd. The details of what libeemd actually computes are available as a separate article, which you should read if you are unsure about what EMD, EEMD and CEEMDAN are.)

说明：  边缘检测的Robert算子Python实现，一个是带噪声，一个是不带噪声的代码(Implementation of Edge Detection)

说明：  相关性分析，目前相关性分析领域比较先进的算法(correlation analysis)

利用python编写的均衡器，用于通信仿真(a equalizer based python)

说明：  HMM代码整理与hmmlearn安装详细教程 ,包含三种问题的PYTHON实现(HMM code finishing and hmmlearn installation detailed tutorial, including PYTHON implementation of three problems)

说明：  对动态测试数据，进行快速fft变化，分析系统的频率(using fft method to analysis dynamic test data,)