Probabilistic Models Python Packages

hierarchicalforecast

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

stochtree

Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference

pydtmc

A library for discrete-time Markov chains analysis.

gibbus

Flexible analytic log-concave distributions fitted by maximum likelihood, with support-aware modeling and optional mixtures for multimodal data.

pyaif-toolkit

PyAIF (pyaif-toolkit): active inference in Python with categorical and continuous observations, shallow inference, and deep temporal inference.

drforest

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

typola

Probabilistic models over linguistic typology source data (WALS, Grambank, ...) with pluggable count-to-probability estimators.

lymph-model

Python package for statistical modelling of lymphatic metastatic spread in head & neck cancer.

mta

Multi-Touch Attribution

samseg

Sequence Adaptive Multimodal SEGmentation (SAMSEG)

treeffuser

Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion models.

adyant

A novel method for URL path discovery via intelligent bruteforcing - backed by Markov chains (under development)

calibrain

Python toolbox for uncertainty estimation and calibration in EEG/MEG inverse source imaging.

first-passage-percolation-sim

Simulations of the first passage percolation on the square lattice

memocell

Bayesian inference of stochastic cellular processes with and without memory in Python.

deeprob-kit

A Python Library for Deep Probabilistic Modeling

keras-adf

Tensorflow/Keras implementation of Assumed Density Filtering (ADF) based probabilistic neural networks

topomics

Topic modeling for multiomics data

torch-adf

PyTorch implementation of Assumed Density Filtering (ADF) based probabilistic neural networks

ppchain

Your Probabilistic Modeling Copilot