Python爬虫百度贴吧（修改链接即可）

此实例为Python写的一个简单的贪吃蛇游戏，提供Python入门者学习

python 2.7 + wxPython 绘制股票K线图，从sina提取股票收益数据到excel 文件

说明：  一种大数据机器学习框架的源代码，techstar-ai(The source code of a large data machine learning framework, techstar-ai)

使用python语言实现多张图像的拼接，并且处理拼接之后的裂缝和黑边。(Use python language to achieve splicing of multiple images, and deal with cracks and black edges after splicing.)

数据挖掘入门， 鸢尾属植物 iris示例代码(Iris sample code for data mining)

聊天机器人 原理： 严谨的说叫 ”基于深度学习的开放域生成对话模型“，框架为Keras（Tensorflow的高层包装），方案为主流的RNN（循环神经网络）的变种LSTM（长短期记忆网络）+seq2seq（序列到序列模型），外加算法Attention Mechanism（注意力机制），分词工具为jieba，UI为Tkinter，基于”青云“语料（10万+闲聊对话）训练。 运行环境：python3.6以上，Tensorflow，pandas，numpy，jieba。(Chat Robot Principle: Strictly speaking, it is called "Open Domain Generation Dialogue Model Based on Deep Learning". The framework is Keras (High-level Packaging of Tensorflow). The scheme is LSTM (Long-term and Short-term Memory Network)+seq2seq (Sequence to Sequence Model), plus Attention Mechanism (Attention Mechanism). The word segmentation tool is Jieba and the UI is Tkinter. Based on "Qingyun" corpus (100,000 + chat dialogue) training. Running environment: Python 3.6 or more, Tensorflow, pandas, numpy, jieba.)

说明：  SSD: Single Shot MultiBox Object Detector, in PyTorch A PyTorch implementation of Single Shot MultiBox Detector from the 2016 paper by Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang, and Alexander C. Berg. The official and original Caffe code can be found here. Table of Contents Installation Datasets Train Evaluate Performance Demos Future Work Reference

windows下面使用QT显示opengl的，并且测试了tabWidget中tab垂直放置(Windows uses QT to display OpenGL and tests the vertical placement of tab in tabWidget.)

Transfer Learning.pdf

可以识别手势或者一些简单的图像，可以自己在云端训练模型(You can recognize gestures or simple images, and you can train your own models in the cloud.)