Alternatives and similar repositories for scikit-feature

Users that are interested in scikit-feature are comparing it to the libraries listed below

• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆247Updated last year
• kaushalshetty / FeatureSelectionGA
  Feature Selection using Genetic Algorithm (DEAP Framework)
  ☆374Updated 2 years ago
• danilkolikov / fsfc
  Feature Selection for Clustering
  ☆96Updated 7 years ago
• OpenIDEA-YunanUniversity / ycimpute
  A missing value imputation library based on machine learning. It's implementation missForest, simple edition of MICE(R pacakge), knn, EM,…
  ☆108Updated last year
• SantiagoEG / FCBF_module
  Fast Correlation-Based Feature Selection
  ☆31Updated 8 years ago
• mvlearn / mvlearn
  Python package for multi-view machine learning
  ☆215Updated 2 years ago
• emanuel-metzenthin / Lime-For-Time
  Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
  ☆97Updated last year
• danielhomola / mifs
  Parallelized Mutual Information based Feature Selection module.
  ☆285Updated 4 years ago
• riken-aip / pyHSICLasso
  Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
  ☆188Updated 4 years ago
• fbrundu / pymrmr
  Python3 binding to mRMR Feature Selection algorithm (currently not maintained)
  ☆141Updated last year
• Treers / MetaCost
  P. Domingos proposed a principled method for making an arbitrary classifier cost-sensitive by wrapping a cost-minimizing procedure around…
  ☆39Updated 6 years ago
• helenzhao093 / MLMethods
  Implementations of various feature selection methods
  ☆24Updated 5 years ago
• nikdon / pyEntropy
  Entropy for Python
  ☆363Updated this week
• lasso-net / lassonet
  Feature selection in neural networks
  ☆249Updated last year
• KulikDM / pythresh
  Outlier Detection Thresholding
  ☆137Updated 3 weeks ago
• hfawaz / cd-diagram
  Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
  ☆298Updated 3 years ago
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆420Updated 2 years ago
• minepy / minepy
  minepy - Maximal Information-based Nonparametric Exploration
  ☆230Updated last year
• FlorentF9 / DeepTemporalClustering
  Keras implementation of the Deep Temporal Clustering (DTC) model
  ☆235Updated last month
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆196Updated 2 years ago
• DavideNardone / MTSS-Multivariate-Time-Series-Software
  A GP-GPU/CPU Dynamic Time Warping (DTW) implementation for the analysis of Multivariate Time Series (MTS).
  ☆46Updated 5 years ago
• seninp / saxpy
  Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python
  ☆216Updated 4 months ago
• felix-last / kmeans_smote
  Oversampling for imbalanced learning based on k-means and SMOTE
  ☆129Updated 4 years ago
• tobias-freidling / hsic-lasso-psi
  Post-selection inference based on truncated Gaussians for the HSIC-Lasso feature selection procedure
  ☆10Updated 4 years ago
• shiralkarprashant / FCBF
  Houses implementation of the Fast Correlation-Based Filter (FCBF) feature selection method.
  ☆62Updated 3 years ago
• chongshengzhang / Multi_Imbalance
  Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)
  ☆46Updated 6 years ago
• wildboar-foundation / wildboar
  wildboar is a Python module for temporal machine learning
  ☆30Updated 3 months ago
• Alxe1 / FeatureSelectionsAndExtractions
  feature selections and extractions
  ☆88Updated last year
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆169Updated 2 years ago
• ronniemi / explainAnomaliesUsingSHAP
  Explaining Anomalies Detected by Autoencoders Using SHAP
  ☆44Updated 4 years ago