Edward is a Python library for building and testing probabilistic models, helping you experiment with Bayesian statistics, deep learning, and more.
Experiment with probabilistic models in Python
Edward is a Python library designed for creating and experimenting with probabilistic models. Whether you’re working on classical hierarchical models or exploring deep probabilistic approaches, Edward makes it easy to build, test, and refine your ideas.
The site is perfect for researchers, data scientists, and anyone interested in Bayesian statistics or machine learning. You’ll find tutorials, an API reference, and a welcoming community to help you get started and deepen your understanding.
With Edward, you can combine the strengths of Bayesian statistics, machine learning, and deep learning in one place. If you want to experiment quickly and push the boundaries of probabilistic programming, this library offers the tools and resources you need.
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