Edward

Edward is a Python library designed for probabilistic modeling, inference, and criticism, tailored for researchers and practitioners in Bayesian statistics, deep learning, and probabilistic programming. Built on TensorFlow, Edward supports a wide array of models and inference methods, including classical and deep probabilistic models, variational inference, Monte Carlo approaches, and tools for model criticism. Its modular design aids rapid experimentation with both small and large datasets.