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What is this Python project?

pyABC is a tool for distributed likelihood-free inference using Approximate Bayesian Computation.

What's the difference between this project and similar ones?

• It provides a state-of-the-art implementation of ABC-SMC with a few unique algorithms, such as population size adaptation, measurement noise quantification, and automatic distance learning.
• It allows to exploit HPC infrastructure, thus scaling to computationally complex problems.
• It has a very easy-to-use interface and is used by researchers in many areas.