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GitHub topics: distributional-regression

sktime/skpro

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

Language: Python - Size: 11.6 MB - Last synced at: 3 days ago - Pushed at: 5 days ago - Stars: 269 - Forks: 54

StatMixedML/LightGBMLSS

An extension of LightGBM to probabilistic modelling

Language: Python - Size: 32 MB - Last synced at: 17 days ago - Pushed at: 12 months ago - Stars: 310 - Forks: 33

StatMixedML/XGBoostLSS

An extension of XGBoost to probabilistic modelling

Language: Python - Size: 90.2 MB - Last synced at: 19 days ago - Pushed at: about 2 months ago - Stars: 611 - Forks: 65

basf/mamba-tabular

Mambular 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.

Language: Python - Size: 9.13 MB - Last synced at: 26 days ago - Pushed at: about 2 months ago - Stars: 218 - Forks: 15

gavinsimpson/gratia

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

Language: R - Size: 308 MB - Last synced at: 13 days ago - Pushed at: about 1 month ago - Stars: 218 - Forks: 31

StatMixedML/CatBoostLSS

An extension of CatBoost to probabilistic modelling

Size: 6.82 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 142 - Forks: 13

pic-romain/unet-pp

Code of "Distributional Regression U-Nets for the Postprocessing of Precipitation Ensemble Forecasts", Pic et al. (2024+)

Language: Python - Size: 38.1 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 5 - Forks: 1

StatMixedML/DGBM

Distributional Gradient Boosting Machines

Size: 169 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 26 - Forks: 1

StatMixedML/Py-BoostLSS

An extension of Py-Boost to probabilistic modelling

Language: Python - Size: 5.07 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 21 - Forks: 0

liesel-devs/liesel-ptm

Penalized Transformation Models in Liesel

Language: Python - Size: 14 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 1

jobstdavid/tsEMOS

Time Series based Ensemble Model Output Statistics

Language: R - Size: 204 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

Stan125/distreg.vis

Framework for the visualization of distributional regression models

Language: R - Size: 5.67 MB - Last synced at: 13 days ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1

HelmholtzAI-Consultants-Munich/PySDDR

A python package for semi-structured deep distributional regression

Language: Jupyter Notebook - Size: 8.83 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 20 - Forks: 8

manucarl/BCTM

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

Language: R - Size: 265 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

pinouche/attention-mechanism_distribution-regression

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

Language: Jupyter Notebook - Size: 111 KB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 3

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