distributional-regression
There are 14 repositories under distributional-regression topic.
StatMixedML/XGBoostLSS
An extension of XGBoost to probabilistic modelling
StatMixedML/LightGBMLSS
An extension of LightGBM to probabilistic modelling
StatMixedML/CatBoostLSS
An extension of CatBoost to probabilistic modelling
basf/mamba-tabular
Mambular is a Python package that brings the power of Mamba architectures to tabular data, offering a suite of deep learning models for regression, classification, and distributional regression tasks. This includes models like Mambular, FT-Transformer, TabTransformer and tabular ResNets.
StatMixedML/DGBM
Distributional Gradient Boosting Machines
HelmholtzAI-Consultants-Munich/PySDDR
A python package for semi-structured deep distributional regression
StatMixedML/Py-BoostLSS
An extension of Py-Boost to probabilistic modelling
pic-romain/unet-pp
Code of "Distributional Regression U-Nets for the Postprocessing of Precipitation Ensemble Forecasts", Pic et al. (2024+)
pinouche/attention-mechanism_distribution-regression
Code for the KDD 2019 workshop paper. Attention mechanism for distribution regression.
jobstdavid/tsEMOS
Time Series based Ensemble Model Output Statistics
Stan125/distreg.vis
Framework for the visualization of distributional regression models
liesel-devs/liesel-ptm
Penalized Transformation Models in Liesel
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.
manucarl/BCTM
Bayesian Conditional Transformation Models by Manuel Carlan, Thomas Kneib and Nadja Klein