Hierarchical Models Python Packages

scdef

Deep exponential families for single-cell data.

gp3bayespy

Contract-first Bayesian workflows for hierarchical behavioural data, posterior validation, predictive diagnostics, sensitivity analysis, PSIS-LOO, reproducibility, and dynamic pupillometry.

panelcast

Hierarchical Bayesian prediction for bounded scores of events nested in entities over time — configured by one YAML descriptor.

bayesian-pricing

Hierarchical Bayesian models for insurance pricing — PyMC 5, thin-data segments, credibility factors

hbmep

Hierarchical Bayesian estimation of MEP recruitment curves

typed-tree

TypedTree provides a tree data structure that allows adding type information to both nodes and edges; useful for visualisation purposes

simple-hierarchy

A python package adding basic hierarchal networks in pytorch for classification tasks. It implements a simple hierarchal network structure based on feed-backward outputs.

setu-sbi

Bridging simulators to probabilistic programming in JAX

simple-hierarchy-pytorch

A python package adding basic hierarchal networks in pytorch for classification tasks. It implements a simple hierarchal network structure based on feed-backward outputs.