一个很好的人脸识别库

说明：  基于LSTM的时序预测，训练1000次后对未来价格进行预测(Time series prediction based on LSTM)

使用GAN算法生成图像

这个是我实际项目中开发的高效率的执行代码，有需要的可以参考，简洁的代码实现网络通信TCP 多机通信策略。希望对大家有用。

Python3通过whois生成通讯录实例(Python3 generates an instance of the address book through whois)

说明：  利用sklearn实现mnist的分类，新手入门(Using sklearns to classify MNIST)

利用DNN来进行语音增强，先补充数据训练模型，然后进行去噪处理。(speech enhancement:Using DNN to enhance speech, data training model is first supplemented and then denoised.)

Python数据挖掘入门与实践 本书作为数据挖掘入门读物，介绍了数据挖掘的基础知识、基本工具和实践方法，通过循序渐进地讲解算法，带你轻松踏上数据挖掘之旅。本书采用理论与实践相结合的方式，呈现了如何使用决策树和随机森林算法预测美国职业篮球联赛比赛结果，如何使用亲和性分析方法推荐电影，如何使用朴素贝叶斯算法进行社会媒体挖掘，等等。本书也涉及神经网络、深度学习、大数据处理等内容。本书面向愿意学习和尝试数据挖掘的程序员。(Introduction and practice of Python data mining As a primer on data mining, this book introduces the basic knowledge, basic tools and practical methods of data mining. By step-by-step explanation of the algorithm, you can easily embark on the journey of data mining. This book uses a combination of theory and practice, showing how to use the decision tree and random forest algorithm to predict the results of the American professional basketball league game, how to use the affinity analysis method to recommend movies, how to use the naive Bayesian algorithm for social media mining ,and many more. This book also covers neural networks, deep learning, big data processing and more. This book is for programmers who are willing to learn and experiment with data mining.)

python + wxpython 做的一个围棋小程序，可以和 gnugo 对战。

bp神经网络python实现，参考github和csdn博客上的推导，完成本算法，并用python实现，测试了异或问题和手写体问题

《Rapid GUI Programming with Python and Qt》随书源码，python图形界面编程经典(《Rapid GUI Programming with Python and Qt》source code, classic textbook in gui programming in python)