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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
Web
Task
probabilistic modeling

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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