lampe is a simulation-based inference (SBI) package that focuses on amortized estimation of posterior distributions, without relying on explicit likelihood functions; hence the name Likelihood-free AMortized Posterior Estimation (LAMPE). The package provides PyTorch implementations of modern amortized simulation-based inference algorithms like neural ratio estimation (NRE), neural posterior estimation (NPE) and more. Similar to PyTorch, the philosophy of LAMPE is to avoid obfuscation and expose all components, from network architecture to optimizer, to the user such that they are free to modify or replace anything they like.
The lampe package is available on PyPI, which means it is installable via pip.
pip install lampe
Alternatively, if you need the latest features, you can install it from the repository.
pip install git+https://github.com/francois-rozet/lampe
If you have a question, an issue or would like to contribute, please read our contributing guidelines.
The documentation is made with Sphinx and Furo and is hosted at francois-rozet.github.io/lampe.