python web开发

说明：  基于AlexNet网络模型的单幅彩色图的深度估计，在NYU Depth 数据集，Make3D 数据集，KITTI 数据集经过测试效果很好，只是本次上传由于大小限制，压缩包不包括数据集，读者可自行下载数据集进行训练！(Based on the AlexNet network model, the depth estimation of a single color map, in the NYU Depth dataset, Make3D dataset, KITTI dataset has been tested very well, but this upload due to size limitations, the compressed package does not include the dataset, the reader can Download the data set for training!)

说明：  python演示神经网络来逼近股价走势的预测，基于时间序列的预测(Python demonstrates neural network to approximate the prediction of stock price trend, based on time series prediction)

abaqus 插件，在abaqus程序中生成随机位置的纤维,需要指定数量、纤维半径、长度。(This file is a plugin of abaqus . It is used to generate fibers of random positions. Fiber number,radius,length are needed to input at first.)

LSTM 多变量预测，天气等影戏因素，可以执行，完全可以执行，思想也很简单(LSTM multivariable prediction)

深度学习算法实践源码

说明：  气象因素 ：全球海平面气温 二氧化碳浓度 太阳总辐照度 利用气象因素和xgboost预测未来25年气温变化(Meteorological factors: global sea level temperature, carbon dioxide concentration, total solar irradiance Prediction of Temperature Change in the Next 25 Years Using Meteorological Factors and xgboost)

可爱的Python电子书，高清原创共享发福利了(Lovely Python eBook, share knowledge)

说明：  文档详细介绍了随机森林和决策树概念应用并附有相关代码，可运行(The document details the conceptual application of Stochastic Forest and decision tree)

说明：  用python写的实测fama模型学习思路以及开发案例源代码(Python-based learning idea of measured Fama model and source code of development case)

用于学习python与cookbook的一本书，适用于python小伙伴(A book for learning Python and cookbook, for Python buddies)