Alternatives and similar repositories for Projection-pursuit

Users that are interested in Projection-pursuit are comparing it to the libraries listed below

• microprediction / humpday
  Elo ratings for global black box derivative-free optimizers
  ☆142Updated 11 months ago
• SvenSerneels / direpack
  A Python 3 package for state-of-the-art statistical dimension reduction methods
  ☆42Updated last week
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆120Updated 2 years ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆75Updated last year
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆58Updated 2 years ago
• DynamicsAndNeuralSystems / pycatch22
  python implementation of catch22
  ☆91Updated 5 months ago
• vnmabus / dcor
  Distance correlation and related E-statistics in Python
  ☆158Updated last week
• GAA-UAM / scikit-fda
  Functional Data Analysis Python package
  ☆337Updated 2 months ago
• arthurpessa / ordpy
  A Python package for data analysis with permutation entropy and ordinal network methods.
  ☆110Updated 2 months ago
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆44Updated 3 months ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆213Updated 3 months ago
• olivertomic / hoggorm
  Explorative multivariate statistics in Python
  ☆79Updated 4 years ago
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆65Updated last week
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆102Updated 3 years ago
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆88Updated 6 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
• jaswinder9051998 / zoofs
  zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range fr…
  ☆251Updated 3 weeks ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated 5 months ago
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆177Updated 3 years ago
• scikit-learn-contrib / scikit-learn-extra
  scikit-learn contrib estimators
  ☆199Updated last week
• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆191Updated 4 months ago
• jxx123 / fireTS
  A python multi-variate time series prediction library working with sklearn
  ☆100Updated 5 years ago
• tee-lab / PyDaddy
  Python package to discover stochastic differential equations from time series data
  ☆99Updated last year
• manuel-calzolari / shapicant
  Feature selection package based on SHAP and target permutation, for pandas and Spark
  ☆31Updated 3 years ago
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆142Updated 9 months ago
• MIDASverse / MIDASpy
  Python package for missing-data imputation with deep learning
  ☆156Updated last year
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆252Updated last week
• pavelkomarov / projection-pursuit
  An implementation of multivariate projection pursuit regression and univariate classification
  ☆38Updated 4 months ago
• alvaromc317 / asgl
  A regression solver for high dimensional penalized linear, quantile and logistic regression models'
  ☆92Updated 7 months ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆298Updated last week