Alternatives and similar repositories for PyFeast

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

• claesenm / resvm
  Robust Ensemble of SVMs
  ☆21Updated 11 years ago
• Craigacp / FEAST
  A FEAture Selection Toolbox for C/C+, Java, and Matlab/Octave.
  ☆72Updated 2 years ago
• arjoly / random-output-trees
  Randomized output tree for multilabel / multi-output regression tasks
  ☆23Updated 9 years ago
• tensorlib / tensorlib
  Yet another tensor library
  ☆23Updated 8 years ago
• ramarlina / som
  Self-Organizing Map for unsupervised feature engineering and dimensionality reduction
  ☆21Updated 12 years ago
• Jianbo-Lab / CCM
  ☆74Updated 6 years ago
• mims-harvard / scikit-fusion
  scikit-fusion: Data fusion via collective latent factor models
  ☆149Updated 2 years ago
• EpistasisLab / scikit-mdr
  A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
  ☆125Updated 2 months ago
• haozhenWu / Calibrated-Boosting-Forest
  Original implementation of Calibrated Boosting-Forest
  ☆18Updated 7 years ago
• NaegleLab / OpenEnsembles
  Code for ensemble clustering
  ☆102Updated 4 months ago
• benfulcher / hctsa_python
  Initial attempt to incorporate some time-series analysis features from hctsa into python land
  ☆28Updated 9 years ago
• aatapa / RLScore
  ☆68Updated last year
• beamandrew / BNN
  Bayesian Neural Networks
  ☆43Updated 10 years ago
• takuti / stream-feature-selection
  Implementation of unsupervised feature selection algorithm proposed by [Huang, et al. 2015]
  ☆10Updated 9 years ago
• iskandr / knnimpute
  Python implementations of kNN imputation
  ☆31Updated 8 years ago
• alvarouc / mlp
  Multilayer Perceptron Keras wrapper for sklearn
  ☆69Updated 3 years ago
• sramirez / fast-mRMR
  An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).
  ☆83Updated 3 years ago
• greenelab / DAPS
  Denoising Autoencoders for Phenotype Stratification
  ☆41Updated 6 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• airanmehr / cssvm
  Cost-Sensitive Support Vector Machines
  ☆33Updated 9 years ago
• alextp / pylda
  An implementation of gibbs sampling for Latent Dirichlet Allocation
  ☆30Updated 14 years ago
• mstrosaker / hmm
  Hidden Markov models in Python
  ☆22Updated 11 years ago
• lmcinnes / hypergraph
  A library for hypergraphs and hypergraph algorithms
  ☆28Updated 9 years ago
• automl / ChaLearn_Automatic_Machine_Learning_Challenge_2015
  ☆11Updated 9 years ago
• tjanez / PyMTL
  PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…
  ☆44Updated 11 years ago
• anfibil / cse40647.sp14
  ☆20Updated 10 years ago
• jakevdp / lpproj
  Scikit-learn compatible Locality Preserving Projections in Python
  ☆94Updated 6 years ago
• cangermueller / vbmfa
  Variational Bayesian Mixture of Factor Analysers
  ☆24Updated 10 years ago
• mstrazar / iONMF
  Integrative orthogonal non-negative matrix factorization
  ☆31Updated 5 years ago
• hulianyu / CVDD
  An Internal Validity Index Based on Density-Involved Distance (2019).
  ☆17Updated 7 months ago