google/edward2
A probabilistic programming language for deep learning ecosystems that allows writing models as probabilistic programs with flexible training and inference.
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Edward2 is a probabilistic programming library that integrates with TensorFlow, JAX, and NumPy backends. It enables users to write models as probabilistic programs and manipulate model computation for flexible training and inference. The library provides core utilities for uncertainty quantification and Bayesian methods in deep learning applications.
Frequently asked
- What is google/edward2?
- A probabilistic programming language for deep learning ecosystems that allows writing models as probabilistic programs with flexible training and inference.
- Is edward2 open source?
- Yes — google/edward2 is open source, released under the Apache-2.0 license.
- What language is edward2 written in?
- google/edward2 is primarily written in Jupyter Notebook.
- How popular is edward2?
- google/edward2 has 711 stars on GitHub.
- Where can I find edward2?
- google/edward2 is on GitHub at https://github.com/google/edward2.