FACE RECOGNITION

python实现的cef浏览器，可以获取网页元素(python cef,get values from html)

A game made with Python

说明：  实现强化学习，完成人工智能，实现机器学习，深度学习(Realize reinforcement learning, artificial intelligence, machine learning and deep learning)

说明：  预测股票价格与成交价格 等多种因素的关系，通过python和神经网络实现预测(prediction the stock price)

说明：  对高光谱图像进行分类，处理。使用tensorflow框架(Classify and process hyperspectral images. Using tensorflow framework)

用ABAQUS扩展有限元方法模拟水里压裂的例子。(The program developed in Python language is mainly used to simulate the hydraulic fracture on ABAQUS platform. Plastic damage model is adopted for cement sheath.)

说明：  各种量化投资策略代码，各大量化投资平台内部资料，切勿外传 ！(Various quantitative investment strategy codes)

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.)

Speech and Language Processing.pdf

说明：  这个是爬虫代码，希望大家可以喜欢收藏，不胜感激(This is the crawler code. I hope you enjoy collecting it. Thank you very much.)