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 8 years ago
• LiangjunFeng / Broad-Learning-System
  BLS Code
  ☆127Updated 6 years ago
• xinlianghu / svm
  用Python实现SVM多分类器
  ☆429Updated last year
• shiluqiang / RBF_NN_Python
  Python code of RBF neural network classification model
  ☆46Updated 6 years ago
• zhaoxingfeng / SVM
  支持向量机，Support Vector Machine(SVM)，多类分类
  ☆31Updated 8 years ago
• Anonymoushhh / Ensemble_Learning
  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
• AFAgarap / cnn-svm
  An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
  ☆394Updated 2 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）
  ☆433Updated 5 years ago
• zhuofupan / Pytorch-Deep-Neural-Networks
  pytorch >>> 快速搭建自己的模型！
  ☆125Updated 3 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
  ☆79Updated 5 years ago
• feferna / psoCNN
  Code to validate the "Particle swarm optimization of deep neural networks architectures for image classification" paper.
  ☆96Updated 3 months ago
• ymzx / pso-svm
  粒子群算法优化支持向量机
  ☆143Updated 3 years ago
• ShaoQiBNU / stacking
  集成学习Stacking方法详解
  ☆77Updated 6 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
• UltrasonicZ / CNN_LeNet-5_onedimension
  about how to use CNN with one dimensional signal
  ☆29Updated 7 years ago
• kenandaoerdect / one-dimensional-data-classification
  Simple one-dimensional data classification using LSTM, CNN, FC in Pytorch
  ☆22Updated 6 years ago
• LitoNeo / pytorch-AutoEncoders
  Autoencoders in PyTorch
  ☆102Updated 6 years ago
• starhou / One-dimensional-GAN
  用GAN生成一维数据
  ☆124Updated 5 years ago
• Nana0606 / autoencoder
  个人练习，自编码器及其变形（理论+实践）
  ☆339Updated 6 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
• wrayzheng / gmm-em-clustering
  高斯混合模型（GMM 聚类）的 EM 算法实现。
  ☆202Updated 6 years ago
• smriti100jain / svr
  Support Vector Regression
  ☆57Updated 7 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…
  ☆73Updated 4 years ago
• 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
  ☆183Updated 6 years ago
• yx868868 / GA-optimized-neural-network
  python 用GA算法优化BP神经网络
  ☆161Updated 4 years ago
• ChileWang0228 / DeepLearningTutorial
  深度学习代码
  ☆132Updated 6 years ago
• LiangjunFeng / Machine-Learning
  Basic algorithms about machine learnig
  ☆50Updated 5 years ago
• zhuofupan / Tensorflow-Deep-Neural-Networks
  用Tensorflow实现的深度神经网络。
  ☆141Updated 3 years ago
• zhao62 / Deep-Residual-Shrinkage-Networks
  The deep residual shrinkage network is a variant of deep residual networks.
  ☆487Updated 2 months ago
• fengkai35 / GWO_RBF_SVM
  It is a project of SVM optimization algorithm which use the Grey Wolf Optimizer
  ☆84Updated 6 years ago