Alternatives and similar repositories for supervisedPCA-Python

Users that are interested in supervisedPCA-Python are comparing it to the libraries listed below

• yngvem / group-lasso
  Group Lasso implementation following the scikit-learn API
  ☆107Updated last year
• pafoster / pyitlib
  A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.
  ☆101Updated 7 months ago
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆249Updated 6 months ago
• minepy / mictools
  A practical tool for Maximal Information Coefficient (MIC) analysis
  ☆138Updated last year
• riken-aip / pyHSICLasso
  Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
  ☆188Updated 4 years ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆214Updated 2 years ago
• neurodata / SPORF
  This is the implementation of Sparse Projection Oblique Randomer Forest
  ☆102Updated last year
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆232Updated 4 years ago
• bnpy / bnpy
  Bayesian nonparametric machine learning for Python
  ☆234Updated 2 years ago
• vnmabus / dcor
  Distance correlation and related E-statistics in Python
  ☆158Updated last year
• danielhomola / mifs
  Parallelized Mutual Information based Feature Selection module.
  ☆285Updated 4 years ago
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆177Updated 3 years ago
• kormilitzin / the-signature-method-in-machine-learning
  Foundations and Applications
  ☆102Updated 5 years ago
• glm-tools / pyglmnet
  Python implementation of elastic-net regularized generalized linear models
  ☆287Updated 2 years ago
• lopatovsky / HMMs
  Continuous-time Hidden Markov Model
  ☆103Updated last year
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆230Updated 2 years ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆62Updated 8 years ago
• meeliskull / prg
  Software to create Precision-Recall-Gain curves and calculate area under the curve
  ☆42Updated 3 years ago
• gregversteeg / gaussianize
  Transforms univariate data into normally distributed data
  ☆77Updated 3 years ago
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆247Updated last year
• mathurinm / celer
  Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.
  ☆236Updated 6 months ago
• minepy / minepy
  minepy - Maximal Information-based Nonparametric Exploration
  ☆230Updated last year
• alvaromc317 / asgl
  A regression solver for high dimensional penalized linear, quantile and logistic regression models'
  ☆92Updated 6 months ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆250Updated 2 years ago
• madrury / basis-expansions
  Basis expansion transformers in sklearn style.
  ☆97Updated 5 years ago
• GGiecold-zz / Cluster_Ensembles
  A package for combining multiple partitions into a consolidated clustering. The combinatorial optimization problem of obtaining such a co…
  ☆74Updated 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
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 4 years ago
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆169Updated 2 years ago
• mvlearn / mvlearn
  Python package for multi-view machine learning
  ☆215Updated 2 years ago