TensorFlow Probability

TensorFlow Probability (TFP) is a library that extends TensorFlow to make it easier to work with statistical and probabilistic models. It provides tools for building, training, and analyzing models that incorporate uncertainty, randomness, and probability distributions. TFP is used in applications like machine learning, data analysis, and scientific research to model complex systems where uncertainty is inherent, helping researchers and developers create more flexible, robust, and interpretable models while leveraging TensorFlow’s efficient computation capabilities.