高维空间的最邻近点查找

nao机器人的编程例子，包括了获得个关节的值，踢球，识别红球等等(Nao robot programming examples, including the acquisition of joint values, kicking, recognition of red balls and so on)

说明：  InSAR代码，用于进行InSAR处理。Python代码(Is the InSAR code for InSAR processing. Python code)

使用python脚本，实现了下载糗事百科上的图片的功能。定义了500页，怎么也够用了吧。程序主题简单，主要是用到了sgmllib模块和urllib2模块。压缩包内包括了几张运行下载的图片。

与经典的方法相比，使用具有长时间记忆细胞的递归神经网络(RNN)不需要或几乎不需要特征工程。数据可以直接输入到神经网络中，神经网络就像一个黑匣子，可以正确地对问题进行建模。其他研究在活动识别数据集上可以使用大量的特征工程，这是一种与经典数据科学技术相结合的信号处理方法。这里的方法在数据预处理的数量方面非常简单(Compared with the classical methods, the recursive neural network (RNN) with long-term memory cells does not need or almost need feature engineering. Data can be directly input into the neural network, which acts as a black box and can correctly model the problem. Other research can use a lot of Feature Engineering on activity recognition data sets, which is a signal processing method combined with classical data science and technology. The method here is very simple in terms of the number of data preprocessing)

copula实现多维相关分析，采用高斯分析多维的关系(Copula implements multidimensional correlation analysis)

# pytorch-MNIST-CelebA-GAN-DCGAN Pytorch implementation of Generative Adversarial Networks (GAN) [1] and Deep Convolutional Generative Adversarial Networks (DCGAN) [2] for MNIST [3] and CelebA [4] datasets. * If you want to train using cropped CelebA dataset, you have to change isCrop = False to isCrop = True. * you can download   - MNIST dataset: http://yann.lecun.com/exdb/mnist/   - CelebA dataset: http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html * pytorch_CelebA_DCGAN.py requires 64 x 64 size image, so you have to resize CelebA dataset (celebA_data_preprocess.py). * pytorch_CelebA_DCGAN.py added learning rate decay code. ## Implementation details * GAN  * DCGAN  ## Resutls ### MNIST

说明：  机器学习的一项作业，仅供参考，主要KNN、逻辑回归、SVM、mlp、cnn、朴素贝叶斯的分类器性能的比较(An assignment of machine learning for reference only)

说明：  openlayers必须的openlayer文件(Gis have to get a ol.js)

数据挖掘在经侦项目中的应用,本文用到python中的社区划分算法(In the application of data mining in economic investigation projects, this paper uses community partition algorithm in Python.)

说明：  电磁仿真，FDTD，一维二维三维仿真源程序代码。。。。。。。。(ELECTROMAGNETIC SIMULATION USING THE FDTD METHOD)