Pyro
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About
Pyro is a universal probabilistic programming language (PPL) written in Python, supported by PyTorch on the backend. It enables flexible and expressive deep probabilistic modeling, unifying modern deep learning and Bayesian modeling. Designed with key principles: Universal (can represent any computable probability distribution), Scalable (scales to large data sets with little overhead), Minimal (small core of powerful, composable abstractions), and Flexible (aims for automation when you want it, control when you need it). Pyro also offers NumPyro, a NumPy-backed version leveraging JAX for automatic differentiation and JIT compilation, providing over 100x speedup for HMC and NUTS. Pyro is an Apache 2.0-Licensed Open Source Project.
Platform
Features
• universal probabilistic programming language
• apache 2.0-licensed open source project
• numpy-backed version with jax for speedup (numpyro)
• pytorch backend support
• python-based language
• flexible control for model automation and customization
• minimal core of powerful, composable abstractions
• scalable to large datasets with little overhead
Pricing Plans
Open Source
Free Plan• Universal probabilistic programming
• Deep probabilistic modeling
• PyTorch backend
• NumPyro integration
• Scalable
• Minimal
• Flexible
• Apache 2.0 licensed
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