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.
  ☆103Updated 8 months ago
• minepy / mictools
  A practical tool for Maximal Information Coefficient (MIC) analysis
  ☆140Updated last year
• vnmabus / dcor
  Distance correlation and related E-statistics in Python
  ☆158Updated 2 weeks ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆214Updated 2 years ago
• mathurinm / celer
  Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.
  ☆237Updated 7 months ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 4 years ago
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆249Updated 7 months ago
• riken-aip / pyHSICLasso
  Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
  ☆191Updated 4 years ago
• maxpumperla / entropy-mdlp
  Minimum description length principle algorithm in Python, for optimal binning of continuous variables
  ☆61Updated 2 years ago
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆170Updated 2 years ago
• neurodata / SPORF
  This is the implementation of Sparse Projection Oblique Randomer Forest
  ☆103Updated last year
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆232Updated 5 years ago
• madrury / basis-expansions
  Basis expansion transformers in sklearn style.
  ☆97Updated 5 years ago
• kormilitzin / the-signature-method-in-machine-learning
  Foundations and Applications
  ☆101Updated 5 years ago
• fmorenopino / HeterogeneousHMM
  Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…
  ☆80Updated 2 years ago
• jamesross2 / Bayesian-HMM
  A non-parametric Bayesian approach to Hidden Markov Models
  ☆87Updated 2 years ago
• alvaromc317 / asgl
  A regression solver for high dimensional penalized linear, quantile and logistic regression models'
  ☆92Updated 7 months ago
• sdpython / mlinsights
  Extends scikit-learn with new models, transformers, metrics, plotting.
  ☆73Updated 2 weeks ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆249Updated 2 years ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆231Updated 2 years ago
• digital-idiot / RotationForest
  Implementation of the Rotation Forest by Rodriques et al. 2006
  ☆15Updated 9 months ago
• meeliskull / prg
  Software to create Precision-Recall-Gain curves and calculate area under the curve
  ☆42Updated 3 years ago
• partofthething / ace
  Python package for performing the Alternating Conditional Expectation (ACE) regression
  ☆72Updated 2 years ago
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆247Updated last year
• minepy / minepy
  minepy - Maximal Information-based Nonparametric Exploration
  ☆230Updated last year
• gregversteeg / gaussianize
  Transforms univariate data into normally distributed data
  ☆77Updated 3 years ago
• SvenSerneels / direpack
  A Python 3 package for state-of-the-art statistical dimension reduction methods
  ☆42Updated 3 weeks ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆62Updated 8 years ago
• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆191Updated 4 months ago