Pyro
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About
Pyro is a universal probabilistic programming language (PPL) written in Python and supported by PyTorch on the backend. It enables flexible and expressive deep probabilistic modeling, unifying modern deep learning and Bayesian modeling. Pyro is designed to be universal, representing any computable probability distribution; scalable, handling large datasets with little overhead; minimal, implemented with a small core of powerful, composable abstractions; and flexible, offering automation when desired and control when needed. It is an Apache 2.0-Licensed Open Source Project and integrates with NumPyro for accelerated probabilistic programming using JAX.
Platform
Features
• pytorch backend support
• deep probabilistic modeling
• numpy-backed numpyro integration
• flexible control
• minimal core abstractions
• scalable to large datasets
• universal probabilistic programming
Pricing Plans
Open Source
Free Plan• Universal probabilistic programming
• Deep probabilistic modeling
• Scalable to large datasets
• Flexible and expressive
• Apache 2.0 Licensed
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