Alternatives and similar repositories for pgbm:

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

• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆105Updated this week
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆193Updated last year
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆224Updated last year
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆291Updated 8 months ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆222Updated 3 weeks ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆142Updated last year
• pyro-ppl / Pyro-M5-Starter-Kit
  Learn Pyro through the M5 forecasting competition
  ☆84Updated 4 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 2 years ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆257Updated last week
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆67Updated last year
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆160Updated 10 months ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆72Updated last year
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆116Updated last year
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆203Updated 9 months ago
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆388Updated 9 months ago
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆314Updated last year
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆61Updated 4 months ago
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆65Updated 9 months ago
• ing-bank / probatus
  Validation (like Recursive Feature Elimination for SHAP) of (multiclass) classifiers & regressors and data used to develop them.
  ☆134Updated last week
• Nixtla / utilsforecast
  ☆54Updated last week
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆245Updated last year
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆173Updated 2 years ago
• tblume1992 / LazyProphet
  Time Series Forecasting with LightGBM
  ☆83Updated 2 years ago
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆199Updated 11 months ago
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆143Updated 5 months ago
• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆89Updated 5 months ago
• octoenergy / timeserio
  Better `keras` models for time series and beyond
  ☆61Updated last year
• manuel-calzolari / shapicant
  Feature selection package based on SHAP and target permutation, for pandas and Spark
  ☆30Updated 2 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆89Updated last year