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Distributional Regression Python Packages

Python packages with the GitHub topic distributional-regression. Sorted by relevance, with stars and monthly downloads.
sktime
skpro

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

209K 324 184
StatMixedML
xgboostlss

An extension of XGBoost to probabilistic modelling

3K 709 80
StatMixedML
lightgbmlss

An extension of LightGBM to probabilistic modelling

3K 384 36
basf
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.

1K 306 24
OpenTabular
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.

773 306 24
CyberAgentAILab
dte-adj

This is a Python library for estimating distributional treatment effects

553 10 2
simon-hirsch
rolch

A package for online distributional learning.

542 35 7
simon-hirsch
ondil

Methods for online / incremental estimation of distributional regression models

530 34 7
burning-cost
insurance-distributional

Distributional GBM for insurance pricing — TweedieGBM, GammaGBM, ZIPGBM, NegBinomialGBM, per-risk volatility scoring

317 0 0
burning-cost
insurance-distributional-glm

GAMLSS for insurance pricing in Python — model variance, shape, and tail parameters as functions of covariates

225 0 0
PyCoder913
stengression

Spatiotemporal engression for probabilistic forecasting on low-frequency datasets.

139 0 0
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