k近邻算法实现

说明：  经典书籍，think python,第二版。(think python, second edition. written by Allen B. Downey.)

说明：  用生成对抗网络了进行红外和可见光图像融合(Infrared and Visible Image Fusion Using Generated Countermeasure Network)

机器学习之文本分类，有代码，语料库，分词 python语言(Machine Learning Text Categorization, Code, Corpus, Word Segmentation Python language)

该工具是对非线性问题进行求解的，可通过MATLAB，Python等语言进行实现(The tool is used to solve nonlinear problems, which can be realized by matlab,python and other languages.)

实现基于样本块的图像修复，是Criminisi经典图像修复算法。(Criminisi algorithm about exemplar-based inpainting)

说明：  CNN训练模型，可以快速训练已有图片，下载者需自行调整文件路径即可。(CNN Training Model,It can train existing pictures quickly, and downloaders need to adjust the file path by themselves.)

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：  通过贝叶斯信息准则确定高斯混合聚类方法的聚类簇数(Determining the Cluster Number of GMM Clusters by BIC)

fast-rcnn源码,可用于快速目标检测，如行人识别 车辆识别 车标识别(This is an sourcecode for python fast-rcnn)

说明：  LSTM模型进行股票预测，时间序列预测，LSTM算法(300ETF stock predict by LSTM model)