获取U-boo下参与编译的源码

使用turtle绘图，绘制一只可爱的皮卡丘。快来试试吧！(Draw a cute Pikachu using turtle drawing. Come and have a try!)

说明：  event manger in simple project

基于open MV的人脸检测与识别,闲来无事，兴趣为之(ji yu openMV de re lian shi bie)

十六进制调色板，超级无敌好用的调色板，有非常多的颜色(Sixteen tone palette)

人工智能领域，game play里面 isolation问题的解决，并且含有测试代码(The field of artificial intelligence, the solution of the isolation problem in game play, and contains the test code)

说明：  实现双目测距功能，需要python环境，安装OpenCV，自行标定(To achieve binocular ranging function, you need Python environment, install OpenCV, self-calibration)

hht example for python

说明：  Pattern_Recognition_And_Machine_Learning(英文+中文+完整答案) 答案为英文版(Pattern_Recognition_And_Machine_Learning)

说明：  数据挖掘Apriori经典算法源码，只需将main函数中的而数据集换成自己的就可以成功运行啦。(Data mining Apriori classic algorithm source code, you only need to replace the data set in the main function with your own to run successfully.)

说明：  隐马尔科夫模型是关于时序的概率模型，描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列，再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列，称为状态序列；每个状态生成一个观测，而由此产生的观测的随机序列，称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)