tensorflow股票LSTM预测

两个小脚本，用来打开谷歌的，它并不是翻墙脚本，只能打开谷歌，学生在写论文的时候可能用到，一个用于Linux，一个用于Windows

python读取excel文件，并对其中的时间进行处理，输出到txt文件中(python read excel file, and one of time to process and output to txt file)

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)

该项目为基于python和opencv的人脸识别门禁系统，用了opencv的lbph算法，达到百分之七十以上的相似度才可认为是识别成功

to use it coding,like notepad,editplus,code!

说明：  可以对DS证据理论的基本概率分配函数进行融合(The basic probability distribution function of DS evidence theory can be fused.)

说明：  学生成绩管理系统，实现读写文件，理信息系统（Management Information System，简称MIS）是一个以人为主导，利用计算机硬件、软件、网络通信设备以及其他办公设备，进行信息的收集、传输、加工、储存、更新、拓展和维护的系统。(The management information system (MIS) is a system that uses computer hardware, software, network communication equipment and other office equipment to collect, transmit, process, store, update, expand and maintain information.)

说明：  对连续数据进行SVR回归建模，并对参数寻优(SVR regression modeling for continuous data and parameter optimization)

说明：  DensePose用深度学习把2D图像坐标映射到3D人体表面上，再加上以每秒多帧的速度处理密集坐标，最后实现动态人物的精确定位和姿态估计。该技术集目标检测、姿态估计、目标部分/实例分割等多种计算机视觉任务于一身的一个综合问题。(DensePost maps 2D image coordinates to 3D human body surface by in-depth learning, and processes dense coordinates at the speed of multiple frames per second. Finally, it realizes precise positioning and attitude estimation of dynamic characters. This technology integrates many kinds of computer vision tasks, such as target detection, attitude estimation, target part/instance segmentation, etc.)

说明：  云计算与边缘计算协同九大应用场景(2019年)(Nine application scenarios of cloud computing and edge computing collaboration (2019))