灰色关联分析法

实现搜索功能 在百度百科中自由发挥 是随意搜索 不对的另找(Implementing Search Function)

《PyQt5快速开发与实战》 第二章节 程序(PyQt5 Rapid Development and Practice Chapter 2 Procedure)

机器学习算法中使用决策树算法进行项目训练并测试

计算多材料单元平均应力应变,用于提取计算等效弹性模量 泊松系数(Calculate the average stress-strain of multi-material elements)

用python编写bp算法，有详细的注释，可以供初学者学习，非常的详细。

生成随机漫步，设置标题，并给标题加上标签(Generating Random Walks)

LSTM入门学习，正弦波序列预测         for i, input_t in enumerate(input.chunk(input.size(1), dim=1)):             h_t, c_t = self.lstm1(input_t, (h_t, c_t))             h_t2, c_t2 = self.lstm2(h_t, (h_t2, c_t2))             output = self.linear(h_t2)  # output.shape:[batch,1]             outputs = [output]  # outputs.shape:[[batch,1],...[batch,1]], list composed of n [batch,1],         for i in range(future):  # if we should predict the future             h_t, c_t = self.lstm1(output, (h_t, c_t))             h_t2, c_t2 = self.lstm2(h_t, (h_t2, c_t2))             output = self.linear(h_t2)  # output.shape:[batch,1]             outputs = [output]  # outputs.shape:[[batch,1],...[batch,1]], list composed of n [batch,1],         outputs = torch.stack(outputs, 1).squeeze(2)  # shape after stack:[batch, n, 1], shape after squeeze: [batch,n]         return outputs

基于谱聚类算法的实现，规格化的图割算法实现(Achieve spectral clustering algorithm, the normalized graph cut algorithm)

讲解Python的基本使用方法，包括数据结构，生成器，迭代器和网络编程(Explain the basic usage of Python)

python语言实现，基于暗通道的图像增强(Image Enhancement Based on Dark Channel)