Alternatives and similar repositories for pybats:

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

• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆160Updated 9 months ago
• pymc-devs / pymc-bart
  ☆100Updated this week
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆222Updated last month
• MIDASverse / MIDASpy
  Python package for missing-data imputation with deep learning
  ☆140Updated 4 months ago
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆191Updated last year
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆142Updated last year
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆101Updated 6 months ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆144Updated 11 months ago
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆90Updated last week
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 2 years ago
• devindg / pybuc
  Bayesian Structural Time Series / Unobserved Components
  ☆30Updated 3 weeks ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆289Updated 7 months ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆223Updated last year
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆378Updated 8 months ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆254Updated this week
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆219Updated last year
• hamrel-cxu / EnbPI
  Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…
  ☆101Updated last year
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆76Updated last month
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆77Updated 7 months ago
• OliverHennhoefer / unquad
  Conformal Anomaly Detection
  ☆38Updated this week
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 3 years ago
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆61Updated 3 months ago
• Nixtla / utilsforecast
  ☆50Updated last month
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆59Updated this week
• DynamicsAndNeuralSystems / pycatch22
  python implementation of catch22
  ☆76Updated 4 months ago
• manuel-calzolari / shapicant
  Feature selection package based on SHAP and target permutation, for pandas and Spark
  ☆30Updated 2 years ago
• alvaromc317 / asgl
  A regression solver for high dimensional penalized linear, quantile and logistic regression models'
  ☆81Updated 3 months ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆48Updated last month
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆202Updated 8 months ago
• AngelPone / pyhts
  A python package for hierarchical forecasting, inspired by hts package in R.
  ☆28Updated 10 months ago