Adaptive Experimentation

Ax is an open-source Python library for adaptive experimentation, a technique that uses machine learning to efficiently tune parameters in complex systems. It supports Bayesian optimization and bandit optimization strategies, powered by BoTorch and PyTorch. The library is actively maintained, with a typical release cadence of minor versions every few months, and the current version is 1.2.4.