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README.md

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# BayesFlow <img src="https://github.com/stefanradev93/BayesFlow/blob/master/img/bayesflow_hex.png?raw=true" align="right" width=20% height=20% />
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[![Actions Status](https://github.com/stefanradev93/bayesflow/workflows/Tests/badge.svg)](https://github.com/stefanradev93/bayesflow/actions)
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[![Licence](https://img.shields.io/github/license/stefanradev93/BayesFlow)](https://img.shields.io/github/license/stefanradev93/BayesFlow)
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[![License: MIT](https://img.shields.io/badge/License-MIT-red.svg)](https://opensource.org/licenses/MIT)
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[![DOI](https://joss.theoj.org/papers/10.21105/joss.05702/status.svg)](https://doi.org/10.21105/joss.05702)
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[![contributions welcome](https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat)](https://github.com/dwyl/esta/issues)
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Welcome to our BayesFlow library for efficient simulation-based Bayesian workflows! Our library enables users to create specialized neural networks for *amortized Bayesian inference*, which repay users with rapid statistical inference after a potentially longer simulation-based training phase.
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