Alternatives and similar repositories for Infinite-Feature-Selection

Users that are interested in Infinite-Feature-Selection are comparing it to the libraries listed below

• minoue-xx / Oversampling-Imbalanced-Data
  MATLAB Implementation of SMOTE related algorithms
  ☆32Updated last year
• skadio / featureSelection
  [INTERSPEECH 2012] Feature Selection in High-Dimensional Classification
  ☆19Updated 10 years ago
• chongshengzhang / Multi_Imbalance
  Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)
  ☆46Updated 6 years ago
• sechidis / 2018-MLJ-Semi-supervised-feature-selection
  Matlab code of the paper "Simple Strategies for Semi-Supervised Feature Selection", published in Machine Learning Journal
  ☆27Updated 7 years ago
• Critical-Infrastructure-Systems-Lab / Multi-objective-feature-selection
  MatLab implementation of W-QEISS, F-QEISS and W-MOSS: three algorithms for the selection of (quasi) equally informative subsets
  ☆31Updated 2 years ago
• kylejhchen / feature-selection-mRMR
  Feature selection: Minimal Redundancy and Maximal Relevance (mRMR)
  ☆24Updated 11 years ago
• JingweiToo / Filter-Feature-Selection-Toolbox
  Simple, fast and ease of implementation. The filter feature selection methods include Relief-F, PCC, TV, and NCA.
  ☆24Updated 5 years ago
• kailugaji / Fuzzy_Clustering_Algorithms
  Several state-of-the-art fuzzy clustering algorithms, including Fuzzy c-means clustering, fuzzy subspace clustering and maximum entropy c…
  ☆33Updated 5 years ago
• doodzhou / OSFS
  Online Streaming Feature Selection
  ☆29Updated 2 months ago
• helenzhao093 / MLMethods
  Implementations of various feature selection methods
  ☆24Updated 5 years ago
• jiazhang-ml / MDFS
  Manifold Regularized Discriminative Feature Selection for Multi-label Learning (PR'19)
  ☆20Updated 5 years ago
• sbuschjaeger / PyPruning
  Python code to prune ensembles
  ☆13Updated 3 years ago
• Analytics-for-Forecasting / msvr
  MSVR (Multiple-output Support Vector Regression) python module
  ☆54Updated 6 years ago
• Ritam-Guha / Feature-Selection
  It contains some of the novel feature selection algorithms I've developed
  ☆13Updated 4 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
• MadhumitaSushil / SDAE
  Stacked Denoising AutoEncoder
  ☆80Updated 6 years ago
• aminb99 / choquet-integral-NN
  The Choquet Integral Neural Network
  ☆15Updated 6 years ago
• shiralkarprashant / FCBF
  Houses implementation of the Fast Correlation-Based Filter (FCBF) feature selection method.
  ☆62Updated 3 years ago
• nealjean / coreg
  Implementation of Co-training Regressors (COREG) semi-supervised regression algorithm from Zhou and Li, 2005.
  ☆61Updated 7 years ago
• fbrundu / pymrmr
  Python3 binding to mRMR Feature Selection algorithm (currently not maintained)
  ☆141Updated last year
• KKimura360 / MLC_toolbox
  A MATLAB/OCTAVE library for Multi-Label Classification
  ☆35Updated 7 years ago
• AntoineAugusti / bagging-boosting-random-forests
  Bagging, boosting and random forests in Matlab
  ☆25Updated 10 years ago
• vhrique / ELT
  Ensemble Learning Toolbox
  ☆17Updated 5 years ago
• mfbalin / Concrete-Autoencoders
  ☆122Updated 3 years ago
• Alxe1 / FeatureSelectionsAndExtractions
  feature selections and extractions
  ☆88Updated last year
• Albertsr / Class-Imbalance
  Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.
  ☆110Updated 5 years ago
• radovicmiloskg / TMRMR
  Minimum redundancy maximum relevance feature selection approach for temporal gene expression data.
  ☆11Updated 7 years ago
• cyustcer / Deep-Feature-Selection
  Python (PyTorch) realization of Deep Feature Selection (Model, Algorithm)
  ☆17Updated 5 years ago
• NoRaincheck / scikit-feature
  ☆33Updated 11 months ago
• shiluqiang / WLSSVM_python
  Weighted LSSVM for regression
  ☆37Updated 7 years ago