BlackBIRDS documentation

BlackBIRDS is a Python package consisting of generically applicable, black-box inference methods for differentiable simulation models. It facilitates both (a) the differentiable implementation of simulation models by providing a common object-oriented framework for their implementation in PyTorch, and (b) the use of a variety of gradient-assisted inference procedures for these simulation models, allowing researchers to easily exploit the differentiable nature of their simulator in parameter estimation tasks. The package consists of both Bayesian and non-Bayesian inference methods, and relies on well-supported software libraries (e.g. normflows, Stimper et al. (2023)) to provide this broad functionality.

Installation

The easiest way to install the package is to obtain it from the PyPI repository

pip install blackbirds

Alternatively, you can obtain the latest version directly from git,

pip install git+https://github.com/arnauqb/blackbirds