Simulation Based Inference Python Packages

sbi

sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you covered.

sbijax

Simulation-based inference in JAX

neuronstar

NeuronStar: open-source code and reproduction package for "Fast Bayesian Updating of the Neutron-Star Equation of State with Neural Posterior and Evidence Estimation"

calisim

A toolbox for the calibration and evaluation of simulation models.

lampe

Likelihood-free AMortized Posterior Estimation with PyTorch

sbiax

Fast, lightweight and parallelised simulation-based inference in JAX.

swyft

A system for scientific simulation-based inference at scale.

gensbi

Generative Models for Simulation-Based Inference in JAX

bayes-compass

COMPASS: Comparison Of Models using Probabilistic Assessment in Simulation-based Settings

falcon-sbi

Precision Inference for Complex Systems

gensbi-examples

Examples and benchmarks for the GenSBI library

askcarl

Gaussian Mixture Model likelihood with support for heterogeneous missing and censored (upper limit) data.

paltas

Conduct simulation-based inference on strong gravitational lensing systems.

synference

Flexible SED fitting using Synthesizer, powered by Simulation Based Inference

setu-sbi

Bridging simulators to probabilistic programming in JAX