TensorFlow Probability extends TensorFlow with tools for probabilistic machine learning, including probability distributions, bijectors for transformed variables, and variational inference. It enables integration of Bayesian reasoning with neural networks, supporting gradient-based inference and scalable computation across GPUs and distributed systems. The library works with both TensorFlow and JAX as backends.