Alternatives and similar repositories for LightGBMLSS

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

• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆636Updated 3 months ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆234Updated this week
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆195Updated last year
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆417Updated last year
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆110Updated 4 months ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆380Updated last year
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆139Updated 3 months ago
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆625Updated last year
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆210Updated last year
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆162Updated last year
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆155Updated last year
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆384Updated last year
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆224Updated 2 years ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆66Updated last year
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆151Updated 3 months ago
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆166Updated 2 weeks ago
• Nixtla / utilsforecast
  Helper functions to plot, evaluate, preprocess and engineer features for forecasting
  ☆77Updated last week
• kdgutier / esrnn_torch
  ☆157Updated 4 years ago
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆110Updated 3 months ago
• dholzmueller / pytabkit
  ML models + benchmark for tabular data classification and regression
  ☆224Updated this week
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆578Updated last year
• MIDASverse / MIDASpy
  Python package for missing-data imputation with deep learning
  ☆155Updated 11 months ago
• predict-idlab / tsflex
  Flexible time series feature extraction & processing
  ☆425Updated 10 months ago
• Nixtla / hierarchicalforecast
  Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
  ☆686Updated last week
• tblume1992 / LazyProphet
  Time Series Forecasting with LightGBM
  ☆85Updated 2 years ago
• fabsig / GPBoost
  Combining tree-boosting with Gaussian process and mixed effects models
  ☆623Updated last week
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆116Updated 2 years ago
• guillermo-navas-palencia / optbinning
  Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…
  ☆485Updated last month
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆273Updated last week
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆522Updated 4 months ago