Alternatives and similar repositories for GPBoost

Users that are interested in GPBoost are comparing it to the libraries listed below

• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆647Updated last month
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆390Updated last year
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆333Updated last month
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆635Updated last year
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆317Updated 2 years ago
• Quantco / glum
  High performance Python GLMs with all the features!
  ☆357Updated 3 weeks ago
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆542Updated 2 years ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆383Updated last year
• manifoldai / merf
  Mixed Effects Random Forest
  ☆233Updated last year
• dswah / pyGAM
  [CONTRIBUTORS WELCOME] Generalized Additive Models in Python
  ☆915Updated last month
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,042Updated this week
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆242Updated 2 weeks ago
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆169Updated 2 years ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆232Updated last year
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆649Updated 8 months ago
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆342Updated last year
• scikit-learn-contrib / MAPIE
  A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
  ☆1,464Updated last week
• pymc-devs / pymc-bart
  ☆122Updated last week
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆660Updated last month
• ModelOriented / DALEX
  moDel Agnostic Language for Exploration and eXplanation
  ☆1,440Updated 2 months ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆251Updated last year
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆117Updated 6 months ago
• bambinos / bambi
  BAyesian Model-Building Interface (Bambi) in Python.
  ☆1,198Updated last week
• GAA-UAM / scikit-fda
  Functional Data Analysis Python package
  ☆334Updated 3 months ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆156Updated last year
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,782Updated last month
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆279Updated last week
• erdogant / distfit
  distfit is a python library for probability density fitting.
  ☆406Updated 3 weeks ago
• erdogant / bnlearn
  Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…
  ☆542Updated 2 weeks ago
• guillermo-navas-palencia / optbinning
  Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…
  ☆491Updated last month