distributional-regression 开源项目推荐（45 个）

StatMixedML /XGBoostLSS

An extension of XGBoost to probabilistic modelling

StatMixedML /LightGBMLSS

An extension of LightGBM to probabilistic modelling

sktime /skpro

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

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.

gavinsimpson /gratia

ggplot-based graphics and useful functions for GAMs fitted using the mgcv package

StatMixedML /CatBoostLSS

An extension of CatBoost to probabilistic modelling

simon-hirsch /ondil

A package for online distributional learning.

OpenTabular /NAMpy

Interpretable additive models for tabular data: classical GAMs (with REML smoothness selection, inference, shape constraints & diagnostics) plus neural additive models (NAM, NBM, NodeGAM, GPNAM, SIAN, SPAM, and more) for regression, classification, and distributional regression.

StatMixedML /DGBM

Distributional Gradient Boosting Machines

StatMixedML /Py-BoostLSS

An extension of Py-Boost to probabilistic modelling

HelmholtzAI-Consultants-Munich /PySDDR

A python package for semi-structured deep distributional regression

pic-romain /unet-pp

Code of "Distributional Regression U-Nets for the Postprocessing of Precipitation Ensemble Forecasts", Pic et al. (2025)

pinouche /attention-mechanism_distribution-regression

Code for the KDD 2019 workshop paper. Attention mechanism for distribution regression.

pinouche /kernel_mean_embedding_distribution-regression

code for the KDD 2019 workshop paper https://arxiv.org/abs/1904.10583. Kernel mean embedding for distribution regression.

ccardehu /glvmlss

Generalized Latent Variable Models for Location, Shape, and Scale (GLVM-LSS)

jobstdavid /tsEMOS

Time Series based Ensemble Model Output Statistics

Stan125 /distreg.vis

Framework for the visualization of distributional regression models

manucarl /BCTM

Bayesian Conditional Transformation Models by Manuel Carlan, Thomas Kneib and Nadja Klein

simon-hirsch /online-mv-distreg

Reproduction code for the paper on online multivariate distributional regression for electricity price forecasting

MArpogaus /hybrid-flows

Multivariate conditional density estimation combining semi-parametric statistical modeling and neural network-based normalizing flows for enhanced interpretability.