Alternatives and similar repositories for machineLearning:

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

• weepon / feature_selection
  常用的特征选择方法
  ☆68Updated 2 years ago
• SongDark / DTW_AP
  Affinity Propagation Clustering with DTW distance on temporal sequence classification
  ☆20Updated 6 years ago
• yongyixiao / Broad-learning-system
  ☆27Updated 6 years ago
• LiangjunFeng / Broad-Learning-System
  BLS Code
  ☆121Updated 6 years ago
• EsmeYi / time-series-forcasting
  Using K-NN, SVM, Bayes, LSTM, and multi-variable LSTM models on time series forecasting
  ☆49Updated 5 years ago
• xuman-Amy / preprocessing
  数据预处理之缺失值处理，特征选择
  ☆21Updated 6 years ago
• shiluqiang / WLSSVM_python
  Weighted LSSVM for regression
  ☆38Updated 6 years ago
• ShaoQiBNU / stacking
  集成学习Stacking方法详解
  ☆74Updated 5 years ago
• upup123 / AAAI-2019-AFS
  The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".
  ☆45Updated 6 years ago
• xiefan-guo / Fuzzy-c-Means-Algorithms
  项目基于论文《Fuzzy c-Means Algorithms for Very Large Data》，使用Python语言实现FCM算法及其扩展算法，包括FCM、spFCM、oFCM、kFCM、reskFCM、spkFCM、okFCM。
  ☆64Updated 5 years ago
• Tasswon / SVM-Convolutional_Autoencoder
  A convolutional autoencoder for feature extraction, with an SVM for image classification.
  ☆11Updated 6 years ago
• SMU-Rainflow / PM2.5_predict
  XGB、LSTM、KNNR、SVR预测
  ☆12Updated 4 months ago
• Maria-Habib / GA-XGBoost-Evoloby
  ☆15Updated 4 years ago
• Alxe1 / FeatureSelectionsAndExtractions
  feature selections and extractions
  ☆88Updated 10 months ago
• akyadav26 / Time-Series-Forecast-with-Deep-Hybrid-Architecture
  Multivariate time-series forecasting with LSTNET and soft-DTW loss
  ☆30Updated 4 years ago
• 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
  ☆52Updated 7 years ago
• jia-zhuang / xgboost-lightgbm-hyperparameter-tuning
  Bayesian Optimization and Grid Search for xgboost/lightgbm
  ☆72Updated 2 months ago
• PatientEz / Multidimensional-time-series-prediction-
  Multidimensional Time Series Prediction by using LSTM
  ☆56Updated 5 years ago
• MadhumitaSushil / SDAE
  Stacked Denoising AutoEncoder
  ☆77Updated 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
• jiazhang-ml / MDFS
  Manifold Regularized Discriminative Feature Selection for Multi-label Learning (PR'19)
  ☆19Updated 5 years ago
• LiangjunFeng / Tri-training
  The python implementation of tri-triaing
  ☆50Updated 5 years ago
• rogeroyer / feature_selection_GAAlgorithm
  基于遗传算法的特征选择
  ☆128Updated 5 years ago
• yanshengli / DBN_Learning
  利用深度RBM构建多分类模型
  ☆19Updated 9 years ago
• WebLearning17 / SequencePrediction
  Pytorch 实现RNN、LSTM、GRU模型
  ☆78Updated 6 years ago
• yongyixiao / deconvolution-broad-learning-systen
  using decon to generate feature,then use bls to classfy
  ☆8Updated 6 years ago
• shiluqiang / PSO_python
  PSO algorithm for multi-parameters optimizaiton
  ☆66Updated 6 years ago
• mo2ye / SARIMA-LSTM
  建立SARIMA-LSTM混合模型预测时间序列问题。以PM2.5值为例，使用UCI公开的自2013年1月17日至2015年12月31日五大城市PM2.5小时检测数据，将数据按时间段划分，使用SARIMA过滤其线性趋势，再对过滤后的残差使用LSTM进行预测，最后对预测结果进行…
  ☆78Updated 6 years ago
• lvbohui / fuzzy_cluster
  模糊聚类算法及其改进算法
  ☆13Updated 3 years ago
• aflyingpig0226 / feature-engineering
  机器学习的特征工程，包括特征抽取、特征预处理、特征选择、特征降维。
  ☆25Updated 6 years ago