Edward2 is a probabilistic programming library that integrates with TensorFlow, JAX, and NumPy backends. It enables users to write models as probabilistic programs and manipulate model computation for flexible training and inference. The library provides core utilities for uncertainty quantification and Bayesian methods in deep learning applications.