Distributional Regression Python Packages

skpro

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

xgboostlss

An extension of XGBoost to probabilistic modelling

drforest

Fast distributional random forests with CART, MMD, and sliced-Wasserstein splitting

lightgbmlss

An extension of LightGBM to probabilistic modelling

deeptab

DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mambular, TabM, FT-Transformer, TabulaRNN, TabTransformer, and tabular ResNets.

mambular

DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mambular, TabM, FT-Transformer, TabulaRNN, TabTransformer, and tabular ResNets.

ondil

A package for online distributional learning.

dte-adj

This is a Python library for estimating distributional treatment effects

insurance-distributional

Distributional GBM for insurance pricing — Tweedie, ZIP, Gamma, Negative Binomial with CatBoost

rolch

A package for online distributional learning.

insurance-distributional-glm

GAMLSS (Generalised Additive Models for Location, Scale and Shape) for insurance pricing in Python

stengression

Deep spatiotemporal engression networks for probabilistic forecasting