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likelihood-free

Here are 6 public repositories matching this topic...

bayesflow-org / bayesflow

A Python library for amortized Bayesian workflows using generative neural networks.

deep-learning parameter-estimation bayesian-inference uncertainty-quantification likelihood-free model-comparison amortized-inference simulation-based invertible-networks

Updated Oct 29, 2024
Python

elfi

elfi-dev / elfi

ELFI - Engine for Likelihood-Free Inference

python statistics simulator inference bayesian bayesian-inference likelihood-free

Updated Jul 8, 2024
Python

mackelab / delfi

Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead

machine-learning neural-networks abc bayesian-inference density-estimation likelihood-free simulation-based-inference

Updated Jul 3, 2020
Python

montefiore-institute / hypothesis

A Python toolkit for (simulation-based) inference and the mechanization of science.

deep-learning inference likelihood-free simulation-based-inference

Updated Apr 15, 2022
Python

sbitzer / pyEPABC

A Python implementation of EP-ABC for likelihood-free, probabilistic inference.

monte-carlo-simulation bayesian-inference likelihood-free probabilistic-models approximate

Updated Jun 22, 2018
Python

gutmanngroup / seqbed

Code for the paper "Sequential Bayesian Experimental Design for Implicit Models via Mutual Information", Bayesian Analysis 2021, https://arxiv.org/abs/2003.09379.

bayesian-experimental-design likelihood-free implicit-models

Updated May 29, 2020
Python

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