Created by: starboerg
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.