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
  ☆657Updated 2 months ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆242Updated last week
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆118Updated 7 months ago
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆434Updated last year
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆197Updated 2 years ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆384Updated last year
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆162Updated last year
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆157Updated last year
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆211Updated 2 weeks ago
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆141Updated 6 months ago
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆635Updated last year
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆114Updated 3 weeks ago
• predict-idlab / tsflex
  Flexible time series feature extraction & processing
  ☆430Updated last year
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆225Updated 2 years ago
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆153Updated 6 months ago
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆391Updated this week
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆191Updated 2 weeks ago
• Mcompetitions / M6-methods
  Data, Benchmarks, and methods submitted to the M6 forecasting competition
  ☆121Updated last year
• dholzmueller / pytabkit
  ML models + benchmark for tabular data classification and regression
  ☆282Updated 2 months ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆283Updated last week
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆117Updated 2 years ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆68Updated 2 years ago
• microprediction / timemachines
  Predict time-series with one line of code.
  ☆432Updated last year
• kdgutier / esrnn_torch
  ☆157Updated 4 years ago
• Nixtla / hierarchicalforecast
  Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
  ☆702Updated last week
• Nixtla / utilsforecast
  Helper functions to plot, evaluate, preprocess and engineer features for forecasting
  ☆88Updated last week
• tblume1992 / LazyProphet
  Time Series Forecasting with LightGBM
  ☆85Updated 3 years ago
• mikekeith52 / scalecast
  The practitioner's forecasting library
  ☆345Updated last month
• henrikbostrom / crepes
  Python package for conformal prediction
  ☆535Updated 2 weeks ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆70Updated last week