深度深林代码下载

说明：  本例程是我研究生阶段做的一个小项目，该项目用pytorch的深度学习框架来进行人体姿态识别，能够实现头部和身体的骨架识别！图像处理方面加入了OpenCV包进行相关的处理，希望能帮助大家！(175/5000 This routine is a small project that I did in the graduate stage. The project uses pytorch's deep learning framework to recognize human body posture, and can realize skeleton recognition of head and body! In the aspect of image processing, OpenCV package has been added for relevant processing, hoping to help everyone!)

说明：  通过建立随机森林，实现大数据样本拟合回归。随机森林参数通过误差最低确定(Through the establishment of random forest, large data sample fitting regression is realized. Determination of random forest parameters by minimum error)

构建了无向加权网，并对网络的度分布、集聚系数、最短路径、度匹配度、度中心性等重要参数进行了计算，在此基础上构建了社区挖掘算法用于网络的社区发现，并采用链路预测算法构建推荐系统(An undirected weighted network is constructed, and some important parameters, such as degree distribution, aggregation coefficient, shortest path, degree matching degree and degree centrality, are calculated. On this basis, a community discovery algorithm is built for the network, and a link prediction algorithm is used to construct a recommendation system.)

说明：  python程序计算皮尔逊相关系数、最大信息系数以及灰色关联度(Pearson correlation coefficient, maximum information coefficient and grey correlation degree were calculated by Python program)

python 检测鼠标键盘是否按下去，该源码程序调用了user32.dll,在windows下面可以实现极快的鼠标键盘按下检测等各种功能，是开发游戏、辅助程序、其他功能性软件必不可少的部分，建议开一个线程实施检测

可以将grads数据转换成ncl能读的数据，直接一步实现(Grads data can be converted into NCL readable data, which can be directly implemented in one step)

数模中求解偏微分方程时，在已知数据的基础上进行线性插值拟合。利用差分法求解该模型，先用网格划分区域，对 区域内部节点做泰勒展开。对偏导数进行离散化处理。(tthe solution to the PDE problem in mathematical modeling)

python神经网络书中的代码，非常使用的学习资料(the code in<python nerual net>, this is trully useful)

说明：  笨办法学Python3， 通过50道简单题目来上手Python，炒鸡适合初学者（全英文，不过难词较少，过了4级就可以看）(LEARN PYTHON 3 THE HARD WAY__ A Very Simple Introduction To The Terrifyingly Beautiful World Of computers And Code, Third Edition by Zed A. Shaw)

从图像数据集读取图片并拼接成大图