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https://github.com/mackelab/delfi/
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README.md 
# DELFI
[![Build Status](https://travis-ci.org/mackelab/delfi.svg?branch=master)](https://travis-ci.org/mackelab/delfi) [![Docs](https://img.shields.io/badge/docs-latest-brightgreen.svg?style=flat)](http://www.mackelab.org/delfi/)

`delfi` is a Python toolbox for density estimation likelihood-free inference. It provides several algorithms for sequential neural posterior estimation (SNPE). Documentation including [installation instructions](http://www.mackelab.org/delfi/install) and a [tutorial on how to get started](http://www.mackelab.org/delfi/tutorials/quickstart) is available at [http://www.mackelab.org/delfi/](http://www.mackelab.org/delfi/).

`delfi`'s successor is `sbi`, a package for simulation-based inference based on PyTorch, see: https://github.com/mackelab/sbi.
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