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一个基于VC和OPENCV相结合的视频去抖动的程序(A procedure based on a combination of VC and OPENCV video to jitter)

说明：  什么是
变分自动编码器? 为了理解VAE，我们首先从最简单的网络说起，然后再一步一步添加额外的部分。一个描述神经网络的常见方法是近似一些我们想建模的函数。然而神经网络也可以被看做是携带信息的数据结构。假如我们有一个带有解卷积层的网络，我们设置输入为值全为1的向量，输出为一张图像。然后，我们可以训练这个网络去减小重构图像和原始图像的平均平方误差。那么训练完后，这个图像的信息就被保留在了网络的参数中。(What is a variational automatic encoder? To understand VAE, we start with the simplest network, and then add additional parts step by step. A common way to describe neural networks is to approximate some of the functions we want to model. However, neural networks can also be regarded as data structures carrying information. If we have a network with deconvolution layer, we set the input to a vector with all values of 1 and output to an image. Then, we can train the network to reduce the average square error between the reconstructed image and the original image. After training, the information of the image is retained in the parameters of the network.vae)

Python格兰杰因果检验的一些论文，详细展示了格兰杰因果检验的逻辑。(Granger Causility test)

非常好的蒙特卡洛树搜索写的五子棋示例，核心代码都有中文说明(An Example of Gobang Written by Monte Carlo Tree Search)

说明：  基于python设计了一个用于跑步计时的界面(It's an interface designed for running time setting based on python)

说明：  用python实现二维和三维数据的k-均值聚类算法(Implementation of k-means clustering algorithm for 2D and 3D data with python)

说明：  esn的python代码,esn的简单应用(simple application of ESN)

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：  利用python和opencv拼接两张图片(Splicing two pictures using Python and opencv)

network coding research paper helps to understand wireless network coding implementation