Edward

Edward

Library for probabilistic modeling, inference, and model criticism.

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About Edward

Edward is a Python library designed for researchers and developers working in probabilistic modeling and machine learning. It provides a unified testbed for fast experimentation with probabilistic models, supporting both classical statistical models and complex deep learning models. Built on TensorFlow, Edward enables modeling, inference, and criticism, making it ideal for advanced research and experimentation in probabilistic programming.

Pricing Plans
Open Source
$0

Resources

Product Website

Visit Edward's official website for product details and getting started.

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Documentation

Comprehensive guides and API references for using Edward effectively.

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GitHub Repository

Access the source code, report issues, and contribute to the Edward project.

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