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pyABC is a massively parallel, distributed, and scalable ABC-SMC (Approximate Bayesian Computation - Sequential Monte Carlo) framework for parameter estimation of complex stochastic models. It provides numerous state-of-the-art algorithms for efficient, accurate, robust likelihood-free inference, described in the documentation and illustrated in example notebooks. Written in Python, with support for integration with R and Julia.


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Related Projects

  • Parameter Estimation with Likelihoods: pyPESTO
  • Neural Posterior Estimation: BayesFlow

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