search

mackelab / delfi

Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
http://www.mackelab.org/delfi
Other
71 stars 28 forks source link
abc bayesian-inference density-estimation likelihood-free machine-learning neural-networks simulation-based-inference

readme

DELFI

Build Status Docs

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 and a tutorial on how to get started is available at 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.