JamesRitchie / scikit-rvm

Related projects: ⓘ

• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆513Updated 2 years ago
• minepy / minepy
  minepy - Maximal Information-based Nonparametric Exploration
  ☆213Updated 3 months ago
• akusok / hpelm
  High performance implementation of Extreme Learning Machines (fast randomized neural networks).
  ☆191Updated 4 months ago
• danielhomola / mifs
  Parallelized Mutual Information based Feature Selection module.
  ☆288Updated 2 years ago
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆406Updated last year
• scikit-learn-contrib / py-earth
  A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
  ☆457Updated last year
• glm-tools / pyglmnet
  Python implementation of elastic-net regularized generalized linear models
  ☆279Updated last year
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆210Updated last year
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆284Updated 3 months ago
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆240Updated 6 months ago
• riken-aip / pyHSICLasso
  Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
  ☆171Updated 2 years ago
• aj-cloete / pssa
  Singular Spectrum Analysis for time series forecasting in Python
  ☆138Updated 3 years ago
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆414Updated 9 months ago
• fbrundu / pymrmr
  Python3 binding to mRMR Feature Selection algorithm (currently not maintained)
  ☆137Updated this week
• thuijskens / bayesian-optimization
  Python code for bayesian optimization using Gaussian processes
  ☆307Updated 7 years ago
• dmbee / seglearn
  Python module for machine learning time series:
  ☆570Updated 2 years ago
• kieferk / pymssa
  Python implementation of Multivariate Singular Spectrum Analysis (MSSA)
  ☆152Updated 5 years ago
• allentran / pca-magic
  PCA that iteratively replaces missing data
  ☆216Updated 8 months ago
• nickc1 / skccm
  Convergent Cross Mapping in Scikit Learn's style
  ☆98Updated 4 years ago
• yngvem / group-lasso
  Group Lasso implementation following the scikit-learn API
  ☆105Updated 3 months ago
• tmadl / semisup-learn
  Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
  ☆501Updated 2 years ago
• sramirez / fast-mRMR
  An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).
  ☆83Updated 2 years ago
• dclambert / Python-ELM
  Extreme Learning Machine implementation in Python
  ☆544Updated 3 years ago
• bnpy / bnpy
  Bayesian nonparametric machine learning for Python
  ☆208Updated last year
• mattjj / pylds
  some tools for gaussian linear dynamical systems
  ☆84Updated 6 years ago
• alshedivat / keras-gp
  Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
  ☆246Updated last month
• ncullen93 / pyBN
  Bayesian Networks in Python
  ☆146Updated last year
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆352Updated 2 years ago
• shibuiwilliam / keras_gpyopt
  Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.
  ☆57Updated 6 years ago
• parkus / emd
  Empirical Mode Decomposition
  ☆31Updated 5 years ago