机器学习框架techstar-ai-master

说明：  深度学习处理图片，适合学习仔细研究等等等等(Python Programming introductory books, suitable for beginners to learn, recommended)

说明：  针对图像亮度不均匀问题，Li Tao与2005年提出的这个算法。其主要用于提升再低照度或者不均匀光照条件下拍摄到的图像亮度。该算法主要由两部分构成：自适应亮度增强模块和自适应对比度增强。(Li Tao and this algorithm proposed in 2005 for the problem of uneven image brightness. It is mainly used to enhance the brightness of images captured under low illumination or uneven illumination. The algorithm is mainly composed of two parts: adaptive brightness enhancement module and adaptive contrast enhancement.)

Python密度聚类 最近在Science上的一篇基于密度的聚类算法《Clustering by fast search and find of density peaks》引起了大家的关注(在我的博文“论文中的机器学习算法——基于密度峰值的聚类算法”中也进行了中文的描述)。于是我就想了解下基于密度的聚类算法，熟悉下基于密度的聚类算法与基于距离的聚类算法，如K-Means算法之间的区别。 基于密度的聚类算法主要的目标是寻找被低密度区域分离的高密度区域。与基于距离的聚类算法不同的是，基于距离的聚类算法的聚类结果是球状的簇，而基于密度的聚类算法可以发现任意形状的聚类，这对于带有噪音点的数据起着重要的作用。(The main goal of the density based clustering algorithm is to find high density regions separated by low density regions. Different from distance based clustering algorithm, the clustering results based on distance clustering algorithm are spherical clusters, and density based clustering algorithm can detect clustering of arbitrary shapes, which plays an important role in data with noisy points.)

python 卡曼滤波的python代码和说明文档，程序都在文档里(python kalmanfilter)

用Python完成了github的oauth2功能(The OAuth 2 function of GitHub is completed with Python)

在线即使通信 登陆模块 添加好友模块 私聊模块 群聊模块(On-line even communication Landing module Add Friends Module Private chat module Group chat module)

说明：  利用SVM对烟雾进行分类检测，很方便使用，内有SVM模型(Classification and Detection of Smoke Using SVM)

说明：  Python编写的简单爬虫程序，能够爬取网站上指定名称指定大小的图片并下载。还有一个简单的正则表达式小程序。(A simple crawler written in Python can crawl and download pictures of the specified size and name on the website. There is also a simple regular expression applet.)

生成以日期为文件名的word文档，写入操作(creating word document named as date)

关于gnuradio中各个信号处理模块的简单介绍，我自己整理的。(Brief introduction about of gnuradio each signal processing module, myself.)