地震数据画图

用GAN实现数据增强,数据是人脸数据，生成合成的人脸(using GAN to implement data augumentation)

Packt - Panda3D 1.7 Game Development Cookbook 2011 RETAiL eBOOk(Packt- Panda3D 1.7 Game Development Cookbook 2011 RETAiL eBOOk)

说明：  Python自带GUi编辑器Tkinter入门教程(Python comes with GUi editor Tkinter introductory tutorial)

WIn10+Anaconda环境下安装PyTorch(避坑指南)

链路状态算法的实现的程序适用于任何无论大小的网络的网络拓扑。与每个节点都有部分信息在网络拓扑图，它可以创建网络的最短路径树。给出了有效拓扑数据，它将为您提供之间的最短路径源和目标路由器。

说明：  A commented bash script to generate our final 2nd place solution can be found in make_kaggle_solution.sh. Running all the commands sequentially will probably take 7 - 10 days on recent consumer grade hardware. If you have multiple GPUs you can speed things up by doing training and feature extraction for the two networks in parallel. However, due to the computationally heavy data augmentation it may be far less than twice as fast especially when working with 512x512 pixel input images. You can also obtain a quadratic weighted kappa score of 0.839 on the private leaderboard by just training the 4x4 kernel networks and by performing only 20 feature extraction iterations with the weights that gave you the best MSE validation scores during training. The entire ensemble only achieves a slightly higher score of 0.845.

This example demonstrates how to use the backend service in Google-App-Engine. 1. Change name of application in app.yml and firstmodule.yaml to the name of you application 2. Upload the files 3. Open the main page

说明：  通过读入文件，再进行大小写转换，再写出文件，得到转换结果。(By reading in the file, converting the case and writing out the file, the conversion result is obtained.)

说明：  Deep reinforcement learning algorithm