wpj12 / SVMLinks
二分类SVM与多分类SVM的实现
☆15Updated 8 years ago
Alternatives and similar repositories for SVM
Users that are interested in SVM are comparing it to the libraries listed below
Sorting:
- 支持向量机(SVM)——分类预测,包括多分类问题,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☆53Updated 7 years ago
- 用Python实现SVM多分类器☆410Updated last year
- Pytorch、Scikit-learn实现多种分类方法,包括逻辑回归(Logistic Regression)、多层感知机(MLP)、支持向量机(SVM)、K近邻(KNN)、CNN、RNN,极简代码适合新手小白入门,附英文实验报告(ACM模板)☆424Updated 4 years ago
- 深度学习代码☆132Updated 5 years ago
- The deep residual shrinkage network is a variant of deep residual networks.☆482Updated last month
- LSTM + Wavelet(长短期记忆神经网络+小波分析):深度学习与数字信号处理的结合☆178Updated 6 years ago
- Application of Machine Learning Techniques for Heart Sound Recording Classification By Vincent Lee and Anatoly Yakovlev☆8Updated 7 years ago
- An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification☆387Updated 2 years ago
- 支持向量机,Support Vector Machine(SVM),多类分类☆31Updated 8 years ago
- 基于PyTorch使用迁移学习完成项目☆60Updated 7 years ago
- It is a project of SVM optimization algorithm which use the Grey Wolf Optimizer☆82Updated 6 years ago
- 提取图像的灰度共生矩阵(GLCM),根据GLCM求解图像的概率特征,利用特征训练SVM分类器,对目标分类☆120Updated 6 years ago
- ☆54Updated 6 years ago
- 基于一维卷积神经网络(1D-CNN)的多元时间序列分类☆78Updated 5 years ago
- 使用5-6个模型(可以是knn svm 贝叶斯等等)用投票的方式做一个集成学习对MNIST数据集进行分类。☆24Updated 6 years ago
- LSTM和SVM实现设备故障诊断☆50Updated 6 years ago
- Python code of RBF neural network classification model☆46Updated 6 years ago
- 用TensorFlow搭建CNN/RNN/LSTM/GRU/BiRNN/BiLSTM/BiGRU/Capsule Network等deep learning模型☆59Updated 6 years ago
- 利用Python实现三层BP神经网络☆82Updated 7 years ago
- Pytorch 实现RNN、LSTM、GRU模型☆78Updated 7 years ago
- 本科毕业设计 基于Haar特征与AdaBoost算法的 人脸检测的实现☆49Updated 7 years ago
- 一维卷积神经网络☆41Updated 5 years ago
- 粒子群算法优化支持向量机☆139Updated 3 years ago
- 八种最常用的GAN生成式对抗网络代码框架☆71Updated 6 years ago
- pytorch >>> 快速搭建自己的模型!☆124Updated 2 years ago
- 使用libsvm和遗传算法优化支持向量机的cost和gamma参数☆33Updated 13 years ago
- 高斯混合模型(GMM 聚类)的 EM 算法实现。☆200Updated 6 years ago
- Machine Learning in Action学习笔记,一个文件夹代表一个算法,每个文件夹包含算法所需的数据集、源码和图片,图片放在pic文件夹中,数据集放在在Data文件夹内。书中的代码是python2的,有不少错误,这里代码是我用python3写的,且都能直接运行☆208Updated 6 years ago
- a back propagation neural network with genetic algorithm☆82Updated 7 years ago
- 1、BP-momentum神经网络numpy实现及Pytorch实现及各optim在AQI数据集的表现。2、BP网络分类☆38Updated 5 years ago