Bayesian Experimental Design in BayesFlow

BayesFlow is a Python library implementing amortized Bayesin inference workflows. It’s based on Keras, which now supports TensorFlow, Jax and PyTorch as backends.

In this short, self-contained tutorial, I show how to find optimal designs for a Michaelis-Menten model.