Alternatives and similar repositories for SVM

Users that are interested in SVM are comparing it to the libraries listed below

• qiuhaining / sklearn-SVM
  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
• xinlianghu / svm
  用Python实现SVM多分类器
  ☆422Updated last year
• LiangjunFeng / Broad-Learning-System
  BLS Code
  ☆127Updated 6 years ago
• AFAgarap / cnn-svm
  An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
  ☆391Updated 2 years ago
• Xiaoyang-Rebecca / PatternRecognition_Matlab
  Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approa…
  ☆72Updated 4 years ago
• Nana0606 / autoencoder
  个人练习，自编码器及其变形（理论+实践）
  ☆338Updated 6 years ago
• zhuofupan / Pytorch-Deep-Neural-Networks
  pytorch >>> 快速搭建自己的模型！
  ☆125Updated 3 years ago
• zhengyima / mnist-classification
  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）
  ☆430Updated 4 years ago
• zhaoxingfeng / SVM
  支持向量机，Support Vector Machine(SVM)，多类分类
  ☆31Updated 8 years ago
• shiluqiang / RBF_NN_Python
  Python code of RBF neural network classification model
  ☆46Updated 6 years ago
• LitoNeo / pytorch-AutoEncoders
  Autoencoders in PyTorch
  ☆102Updated 6 years ago
• zhao62 / Deep-Residual-Shrinkage-Networks
  The deep residual shrinkage network is a variant of deep residual networks.
  ☆484Updated last month
• hello-sea / DeepLearning_Wavelet-LSTM
  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
  ☆181Updated 6 years ago
• UltrasonicZ / CNN_LeNet-5_onedimension
  about how to use CNN with one dimensional signal
  ☆29Updated 7 years ago
• fish-kong / texture-classification-based-on-BPNN-and-dictionary
  代码主要包括：1。特征提取 首先对文本信息进行分词处理，采用基于字符串匹配的方法： 假如一段叫：李二狗就是一个傻逼 基于匹配的方法就是依次截取一到多个词，并与字典库进行匹配。如二狗，如果匹配到字典中有这个词，则将其分为一个词；当取到“狗就”，发现字典中没有与之匹配的，则说明…
  ☆20Updated 6 years ago
• wrayzheng / gmm-em-clustering
  高斯混合模型（GMM 聚类）的 EM 算法实现。
  ☆202Updated 6 years ago
• WebLearning17 / SequencePrediction
  Pytorch 实现RNN、LSTM、GRU模型
  ☆79Updated 7 years ago
• ymzx / pso-svm
  粒子群算法优化支持向量机
  ☆139Updated 3 years ago
• zhaoxingfeng / PCA
  主成分分析，Principal Component Analysis(PCA)
  ☆48Updated 8 years ago
• vvanggeng / TSC-CNN
  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
• xiaomangui / LBP-DBN-face-recognition
  使用LBP特征提取算法提取人脸特征，DBN网络来实现人脸识别，测试数据库ORL数据库，识别率可达90%以上
  ☆97Updated 10 years ago
• Shizhaoyu7288 / GA-SVM
  使用遗传算法优化支持向量机/Optimization of support vector machine using genetic algorithm
  ☆38Updated 3 years ago
• haoyuhu / cluster-analysis
  K-Means++(HCM), Fuzzy C-Means(FCM), Hierarchical Clustering, DBscan
  ☆379Updated 5 months ago
• zhuofupan / Tensorflow-Deep-Neural-Networks
  用Tensorflow实现的深度神经网络。
  ☆140Updated 3 years ago
• wblgers / tensorflow_stacked_denoising_autoencoder
  Implementation of the stacked denoising autoencoder in Tensorflow
  ☆205Updated 7 years ago
• JiangXingRu / Texture-Classification
  ALOT dataset ,multi-class SVM,AdaBoost,K-SVD,LBP,HOG,Gabor
  ☆24Updated 7 years ago
• TimePickerWang / MachineLearning
  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
• fengkai35 / GWO_RBF_SVM
  It is a project of SVM optimization algorithm which use the Grey Wolf Optimizer
  ☆84Updated 6 years ago
• fish-kong / CSDN-code-link
  由于CSDN博客里面不能直接上代码链接，涉嫌营销推广，因此建一个github仓库用于整理这些代码链接
  ☆153Updated 2 years ago
• CLaraRR / autoencoder_practice
  AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.
  ☆41Updated 5 years ago