调节亮度

从百度上下载音乐的脚本,需要用到python2.x的库。(download music from music.baidu.com)

说明：  DevilYuan股票量化系统由python编写,支持python3.4及以上版本,有如下功能: 可视化(基于PyQT的界面) 多线程事件引擎 四大功能 股票数据 选股 策略回测(同时也支持向(Devilyuan stock quantification system is written by python, and supports Python 3.4 and above. It has the following functions: visualization (pyqt based interface) multi thread event engine, four major functions: stock data stock selection strategy back testing (also support to)

一款基于PYTHON语言，用VIZARD软件写的瞄准射击类小游戏，简单好玩(Python Vizard)

机器学习实战PDF高清版本，其实现语言为Python(Machine Learning Practical PDF HD Version, Its Implementation Language is Python)

说明：  支持向量机(SVM)——分类预测，包括核函数调参，不平衡数据问题，特征降维，网格搜索，管道机制，学习曲线，混淆矩阵，AUC曲线等(Support vector machine (SVM) - classification prediction, including kernel function parameter adjustment, unbalanced data problem, feature dimensionality reduction, grid search, pipeline mechanism, learning curve, confusion matrix, AUC curve, etc)

以图像处理和knn算法为基础，利用knn算法，在python开发环境中设计了一个手写数字识别系统，该系统采用28*28的模板对图新分成784块提取手写数字的784个特征，在二值图像数据基础上，通过朴素贝叶斯分类器算法，对0~9这十类手写数字进行学习和分类。(Based on image processing and KNN algorithm, a handwritten digit recognition system is designed in Python development environment by using KNN algorithm. The system uses 28*28 template to divide the graph into 784 blocks to extract 784 features of handwritten digits. On the basis of binary image data, it learns and classifies the ten types of handwritten digits, 0-9, through Naive Bayesian classifier algorithm.)

基于PyTorch的深度学习技术进步.pdf

2019电赛    电磁炮,河北省一等奖

说明：  台湾大学，李宏毅Deep Learning Tutorial入门介绍课件，300页，经典资料， 1小时读懂Deep Learning(Deep Learning Tutorial 300 page ppt)

弹性成像可以通过不同美达超声、 MRI、 振动等机械的紧张关系。在此文件中提供了测量弹性从 MRI 信号的方法。