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
  ☆616Updated last month
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆615Updated last year
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆312Updated 11 months ago
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆379Updated 10 months ago
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆594Updated this week
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆997Updated this week
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆540Updated last year
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆577Updated 11 months ago
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆411Updated last year
• manifoldai / merf
  Mixed Effects Random Forest
  ☆229Updated 11 months ago
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆316Updated 2 years ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆373Updated 10 months ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆208Updated last year
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆336Updated 7 months ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆230Updated last month
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆267Updated 3 weeks ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆224Updated 2 years ago
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆135Updated last month
• pymc-devs / pymc-examples
  Examples of PyMC models, including a library of Jupyter notebooks.
  ☆325Updated 3 weeks ago
• dswah / pyGAM
  [HELP REQUESTED] Generalized Additive Models in Python
  ☆897Updated 11 months ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆154Updated last year
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆779Updated last month
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆248Updated last year
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆227Updated last year
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆165Updated 2 years ago
• bambinos / bambi
  BAyesian Model-Building Interface (Bambi) in Python.
  ☆1,156Updated last week
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆638Updated 4 months ago
• square / pysurvival
  Open source package for Survival Analysis modeling
  ☆359Updated last year
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆327Updated 4 years ago
• matthewwardrop / formulaic
  A high-performance implementation of Wilkinson formulas for Python.
  ☆391Updated 4 months ago