CNNautoencoder

实现了一个吃豆人小游戏的功能，使用了多种搜索算法，包括DFS以及BFS等(Implements a Pac-Man game features, using a variety of search algorithms, including DFS and BFS, etc.)

kaggle--入门题，房价预测，常用机器学习算法。(Kaggle entry questions, house price forecasts.)

创建和签名自签证书，非常适用于搭建测试环境使用，可以减少重复的使用命令进行繁琐的操作，可用于自动化运维环境使用。例如搭建测试的ssl证书加密的网站，或者自建VPN服务器使用。

开心麻花影视作品分析(项目源码下载)-Python项目开发案例集锦13.zip

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)

import cv2 import numpy as np import math import matplotlib.pyplot as plt class Hog_descriptor(): def __init__(self, img, cell_size=16, bin_size=8): self.img = img self.img = np.sqrt(img / np.max(img)) self.img = img * 255 self.cell_size = cell_size self.bin_size = bin_size self.angle_unit = 360 / self.bin_size # assert type(self.bin_size) == int, "bin_size should be integer," # assert type(self.cell_size) == int, "cell_size should be integer," # assert type(self.angle_unit) == int, "bin_size should be divisible by 360" def extract(self): height, width = self.img.shape gradient_magnitude, gradient_angle = self.global_gradient() gradient_magnitude = abs(gradient_magnitude) cell_gradient_vector = np.zeros((int(height / self.cell_size), int(width / self.cell_size), self.bin_size)) for i in rang

说明：  Univariate Moran's I 指数计算过程脚本，运用ArcGIS自带的arcpy工具包(Univariate Moran's I calculation script using ArcPy tool in ArcGIS Desktop software)

按照制定的行对excel进行分割为不同的文件夹及不同文件(Divide the excel into different folders and different files according to the line made)

说明：  ARCGIS图斑净面积计算工具,AreaCalculationTool(A Tool for Calculating Net Area of Patches)

智能车控制，预瞄追踪，实车验证，参加过比赛。好用好用好用(Intelligent vehicle control, preview tracking, real vehicle verification, participated in the competition. Good use, good use and good use.)