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.
Visit Edward's official website for product details and getting started.
Comprehensive guides and API references for using Edward effectively.
Access the source code, report issues, and contribute to the Edward project.