Likelihood Free 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.

pyabc

distributed, likelihood-free inference

lampe

Likelihood-free AMortized Posterior Estimation with PyTorch

synference

Flexible SED fitting using Synthesizer, powered by Simulation Based Inference

swyft

A system for scientific simulation-based inference at scale.

pytorch-inferno

PyTorch implementation of inference aware neural optimisation (de Castro and Dorigo, 2018 https://www.sciencedirect.com/science/article/pii/S0010465519301948)

pyselfi

A python implementation of the Simulator Expansion for Likelihood-Free Inference (SELFI) algorithm

pyroundtrip

Roundtrip: density estimation with deep generative neural networks

lotkavolterra-simulator

Simulator of the Lotka-Volterra prey-predator system with demographic and observational noise and biases