Nested ratio estimation and inhomogeneous poisson point process sample caching for simulator efficient marginal posterior estimation.
Project description
Check out the quickstart notebook -->
This is a beta release. If you encounter problems, please contact the authors or submit a bug report.
SWYFT
Truncated marginal neural ratio estimation
Installation
After installing pytorch, please run the command:
pip install swyft
Documentation
Detailed documentation can be found on readthedocs.
Related tools and repositories
- Our repository applying swyft to benchmarks and example inference problems is available at tmnre.
- sbi is a collection of likelihood-free / simulator-based methods
Citing
If you use swyft in scientific publications, please cite one or both:
Truncated Marginal Neural Ratio Estimation. Benjamin Kurt Miller, Alex Cole, Patrick Forré, Gilles Louppe, Christoph Weniger. https://arxiv.org/abs/2107.01214
Simulation-efficient marginal posterior estimation with swyft: stop wasting your precious time. Benjamin Kurt Miller, Alex Cole, Gilles Louppe, Christoph Weniger. https://arxiv.org/abs/2011.13951
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