▍1. IntelligentOptimizationAlgorithms-master
说明： 多种神经网络合集包括（遗传算法，BP神经网络，粒子群算法等）(Multiple neural network sets including (genetic algorithm,BP neural network, particle swarm optimization, etc.))
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▍2. CNN_Conv2d_train
说明： 基于卷积神经网络（CNN）CNN的图片分类训练代码(CNN network classification training)
▍3. DCGAN-tensorflow-master
这个代码是github上tensorflow版本的DCGAN(This code is the tensorflow version of DCGAN on GitHub)
▍4. Libsvm-2_6
支持向量机初学者可以看看,用于可以用于C-SVM分类、?-SVM分类、?-SVM回归和?-SVM回归等问题 (Support Vector Machine beginners can see that can be used for C-SVM classification,?-SVM classification,?-SVM regression and?-SVM regression problem)
▍5. 机器学习题目代码及数据文件
说明： 实现强化学习，完成人工智能，实现机器学习，掌握学习算法(Realize reinforcement learning, artificial intelligence, machine learning and deep learning)
▍6. Reinforcement-learning-with-tensorflow-master
说明： 实现强化学习，完成人工智能，实现机器学习，完成深度学习(Realize reinforcement learning, artificial intelligence, machine learning and deep learning)
▍7. MarkPolaris-taxonomy_of_iris-master
说明： 使用BP神经网络非线性分类，实现多维度分类，本例子为鸢尾花分类。(BP neural network is used for nonlinear classification to realize multi-dimensional classification. This example is iris classification.)
▍8. bp pred
说明： 反向传播神经网络进行数据回归预测，选取自变量为多维，因变量为一维(Back propagation neural network is used for data regression prediction. The independent variable is multidimensional and the dependent variable is one-dimensional.)
▍9. smo
支持向量机的smo算法实现，包含普通smo和优化后的smo算法(svm impletement with smo, including simple smo and optimitive smo)
▍10. python
说明： 几种LLE（局部线性嵌入）算法的python实例，有数据集。(Several Python examples of LLE (local linear embedding) algorithms have datasets.)
▍11. ML_Sklearn_DecisionTree-master
说明： 合成孔径雷达（SAR）是一种微波设备，能够在复杂 天气状况下产生高分辨率遥感影像。SAR具有分辨率 高、穿透性好的特点，可以全天候、全天时地获取图像信 息。SAR图像变化检测是通过对同一地点不同时刻的 SAR图像进行差异分析，得到所需的地物变化信息。(Change detection for SAR images can be achieved by clustering the differences image. Since SAR image can be interfered by speckle noise, thereby the change detection effect is affected. A method based on fuzzy clustering with spatial neighborhood information is proposed in this paper to improve clustering accuracy.)
▍12. CLDNN
说明： 基于卷积加长短时记忆网络网络的无线电调制方式识别(Identification of radio modulation based on convolution extended short-term memory network)
▍13. pytorch-pix2pix
说明： 该压缩包是pix2pix的pytorch实现，非官方版本，包括训练代码及测试代码(Pytorch implementation of pix2pix, unofficial version, including training code and test code)
▍14. Apriori
说明： 数据挖掘Apriori经典算法源码，只需将main函数中的而数据集换成自己的就可以成功运行啦。(Data mining Apriori classic algorithm source code, you only need to replace the data set in the main function with your own to run successfully.)
▍15. Python Neo4j医药知识图谱自动问答系统源码
Python+Neo4j医药知识图谱自动问答系统源码，知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。(Python+Neo4j Medical Knowledge Atlas Automatic Question and Answer System source code, knowledge atlas construction, automatic question and answer, based on kg automatic question and answer. The knowledge atlas of a certain scale medical field centered on disease is used to complete the automatic question answering and analysis service.)
▍16. Python Neo4j医药知识图谱自动问答系统源码
说明： Python+Neo4j医药知识图谱自动问答系统源码，知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。(Python+Neo4j Medical Knowledge Atlas Automatic Question and Answer System source code, knowledge atlas construction, automatic question and answer, based on kg automatic question and answer. The knowledge atlas of a certain scale medical field centered on disease is used to complete the automatic question answering and analysis service.)
▍17. htru2
对脉冲星的二分类问题，利用逻辑回归，里面有详细的注解(For the two classification problem of pulsars, there are detailed annotations.)
▍18. usrp-stop-and-wait
能够在usrp平台上实现简单的停止等待协议，需要每台电脑打开两个终端(Simple agreement to stop waiting, you need to be able to achieve in the the usrp platform on each computer to open two terminal)
▍19. Deep-Belief-Network-for-Regression-master
利用深度置信网络进行回归建模(Regression Modeling Using Deep Belief Network)
▍20. Deep-Belief-Network-for-Regression-master
说明： 利用深度置信网络进行回归建模(Regression Modeling Using Deep Belief Network)
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