Alternatives and similar repositories for basis-expansions

Users that are interested in basis-expansions are comparing it to the libraries listed below

• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆120Updated 2 years ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆230Updated 2 years ago
• GAA-UAM / scikit-fda
  Functional Data Analysis Python package
  ☆337Updated 2 months ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated 4 months ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆148Updated 2 years ago
• pymc-devs / pymc-bart
  ☆134Updated 2 weeks ago
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆201Updated last year
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆318Updated 2 years ago
• partofthething / ace
  Python package for performing the Alternating Conditional Expectation (ACE) regression
  ☆72Updated 2 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆232Updated 4 years ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆292Updated 2 weeks ago
• MIDASverse / MIDASpy
  Python package for missing-data imputation with deep learning
  ☆156Updated last year
• vnmabus / dcor
  Distance correlation and related E-statistics in Python
  ☆158Updated last year
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆226Updated 2 years ago
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆172Updated 3 weeks ago
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆169Updated 2 years ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆251Updated 2 years ago
• StevenGolovkine / FDApy
  Python Package for Functional Data Analysis
  ☆56Updated 10 months ago
• madrury / py-glm
  Generalized Linear Models in Sklearn Style
  ☆131Updated 5 years ago
• alvaromc317 / asgl
  A regression solver for high dimensional penalized linear, quantile and logistic regression models'
  ☆92Updated 6 months ago
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆97Updated last year
• pymc-devs / pymc-extras
  Powerful add-ons for PyMC
  ☆127Updated 2 weeks ago
• DynamicsAndNeuralSystems / catch22
  catch22: CAnonical Time-series CHaracteristics
  ☆454Updated this week
• manuel-calzolari / shapicant
  Feature selection package based on SHAP and target permutation, for pandas and Spark
  ☆31Updated 3 years ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆387Updated last year
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 4 years ago
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆247Updated last year
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆244Updated 5 years ago
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆240Updated 7 years ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆251Updated this week