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All Projects → ICB-DCM → pyABC

ICB-DCM / pyABC

Licence: BSD-3-Clause License
distributed, likelihood-free inference

Programming Languages

python
139335 projects - #7 most used programming language

Labels

abcparameter-inferenceapproximate-bayesian-inferencelikelihood-free-inference

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pyABC

pyABC logo

CI Docs Codecov PyPI DOI Code style: Black

Massively parallel, distributed and scalable ABC-SMC (Approximate Bayesian Computation - Sequential Monte Carlo) for parameter estimation of complex stochastic models. Implemented in Python with support of the R language.

Examples

Many examples are available as Jupyter Notebooks in the examples directory and also for download and for online inspection in the example section of the documentation.

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