Alternatives and similar repositories for sklearn-SVM

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

• zhaoxingfeng / SVM
  支持向量机，Support Vector Machine(SVM)，多类分类
  ☆31Updated 8 years ago
• ymzx / pso-svm
  粒子群算法优化支持向量机
  ☆139Updated 3 years ago
• shiluqiang / RBF_NN_Python
  Python code of RBF neural network classification model
  ☆46Updated 6 years ago
• ShaoQiBNU / stacking
  集成学习Stacking方法详解
  ☆76Updated 6 years ago
• luanshiyinyang / DataMiningProject
  包含一些比较常见的数据挖掘竞赛或者项目的源码
  ☆129Updated 6 years ago
• JaimeTang / PyTorch-and-TransferLearning
  基于PyTorch使用迁移学习完成项目
  ☆60Updated 7 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
  ☆181Updated 6 years ago
• LiangjunFeng / Machine-Learning
  Basic algorithms about machine learnig
  ☆50Updated 4 years ago
• tjaume / BPNeuralNetworks
  利用Python实现三层BP神经网络
  ☆82Updated 7 years ago
• bubbliiiing / Keras-Attention
  这个仓库主要包含了LSTM、卷积神经网络中，注意力机制的实现。
  ☆135Updated 4 years ago
• Alxe1 / FeatureSelectionsAndExtractions
  feature selections and extractions
  ☆88Updated last year
• fengkai35 / GWO_RBF_SVM
  It is a project of SVM optimization algorithm which use the Grey Wolf Optimizer
  ☆84Updated 6 years ago
• fuqiuai / TensorFlow-Deep-Learning
  用TensorFlow搭建CNN/RNN/LSTM/GRU/BiRNN/BiLSTM/BiGRU/Capsule Network等deep learning模型
  ☆59Updated 6 years ago
• rogeroyer / feature_selection_GAAlgorithm
  基于遗传算法的特征选择
  ☆128Updated 5 years ago
• SMU-Rainflow / PM2.5_predict
  XGB、LSTM、KNNR、SVR预测
  ☆13Updated 9 months ago
• shiluqiang / PNN_python
  Probabilistic Neural Network for classification
  ☆32Updated 6 years ago
• luanshiyinyang / Stacking
  机器学习集成模型之Stacking各类模型及工具源码
  ☆118Updated 5 years ago
• SureeLee / ga_bp
  a back propagation neural network with genetic algorithm
  ☆82Updated 7 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
• shiluqiang / WLSSVM_python
  Weighted LSSVM for regression
  ☆38Updated 6 years ago
• AbtMyML / -SVM
  麻雀算法优化支持向量机 python实现
  ☆13Updated 3 years ago
• ChileWang0228 / DeepLearningTutorial
  深度学习代码
  ☆132Updated 5 years ago
• WebLearning17 / SequencePrediction
  Pytorch 实现RNN、LSTM、GRU模型
  ☆79Updated 7 years ago
• xiaosongshine / bearing_detection_by_conv1d
  [深度应用]·DC竞赛轴承故障检测开源Baseline（基于Keras1D卷积 val_acc:0.99780）
  ☆201Updated 5 years ago
• oubahe / GSA-PSO-SVR
  一种有效的电力负荷预测方法
  ☆63Updated 5 years ago
• weepon / feature_selection
  常用的特征选择方法
  ☆68Updated 3 years ago
• shiluqiang / PSO_python
  PSO algorithm for multi-parameters optimizaiton
  ☆66Updated 6 years ago
• coder23263 / Machine_learning_prediction_system
  机器学习预测系统汇总：包括贝叶斯网络、马尔科夫模型、线性回归、岭回归、多项式回归、决策树回归、深度神经网络预测
  ☆82Updated 5 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
• yx868868 / GA-optimized-neural-network
  python 用GA算法优化BP神经网络
  ☆161Updated 4 years ago