Alternatives and similar repositories for scikit-rvm

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

• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆521Updated 3 years ago
• minepy / minepy
  minepy - Maximal Information-based Nonparametric Exploration
  ☆229Updated last year
• kimjingu / nonnegfac-python
  Python toolbox for nonnegative matrix factorization
  ☆115Updated 7 years ago
• glm-tools / pyglmnet
  Python implementation of elastic-net regularized generalized linear models
  ☆284Updated 2 years ago
• danielhomola / mifs
  Parallelized Mutual Information based Feature Selection module.
  ☆286Updated 3 years ago
• akusok / hpelm
  High performance implementation of Extreme Learning Machines (fast randomized neural networks).
  ☆198Updated 6 months ago
• marionmari / pyGPs
  pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.
  ☆216Updated 6 years ago
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆288Updated last year
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆247Updated 2 months ago
• scikit-learn-contrib / py-earth
  A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
  ☆464Updated 2 years ago
• jmetzen / gp_extras
  Additional kernels that can be used with scikit-learn's Gaussian Process module
  ☆82Updated last year
• mattjj / pylds
  some tools for gaussian linear dynamical systems
  ☆89Updated 7 years ago
• SheffieldML / notebook
  Collection of jupyter notebooks for demonstrating software.
  ☆169Updated 2 years ago
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆422Updated last year
• dganguli / robust-pca
  A simple Python implementation of R-PCA
  ☆245Updated 2 years ago
• rmaestre / Mutual-Information
  In probability theory and information theory, the mutual information of two random variables is a quantity that measures the mutual depen…
  ☆78Updated 13 years ago
• thuijskens / bayesian-optimization
  Python code for bayesian optimization using Gaussian processes
  ☆312Updated 8 years ago
• sramirez / fast-mRMR
  An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).
  ☆83Updated 3 years ago
• gallantlab / pyrcca
  Regularized kernel canonical correlation analysis in Python
  ☆252Updated 4 years ago
• allentran / pca-magic
  PCA that iteratively replaces missing data
  ☆223Updated last year
• jakevdp / wpca
  Weighted Principal Component Analysis (PCA) in Python
  ☆156Updated 7 years ago
• jakevdp / lpproj
  Scikit-learn compatible Locality Preserving Projections in Python
  ☆94Updated 6 years ago
• alshedivat / keras-gp
  Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
  ☆249Updated last year
• mmp2 / megaman
  megaman: Manifold Learning for Millions of Points
  ☆328Updated 2 years ago
• Craigacp / MIToolbox
  Mutual Information functions for C and MATLAB
  ☆143Updated 7 years ago
• Jianbo-Lab / CCM
  ☆74Updated 6 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
• dfm / pcp
  A Python implementation of the Principal Component Pursuit algorithm from arXiv:0912.3599
  ☆66Updated 5 years ago
• bnpy / bnpy
  Bayesian nonparametric machine learning for Python
  ☆227Updated 2 years ago
• riken-aip / pyHSICLasso
  Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
  ☆185Updated 3 years ago