Pyro Insights | Sumble

What is Pyro?

Pyro is a universal probabilistic programming language written in Python and backed by PyTorch. It enables researchers and developers to build complex probabilistic models and perform inference using variational inference and Markov chain Monte Carlo (MCMC) methods. It is commonly used for Bayesian modeling, deep probabilistic learning, and statistical inference in fields like machine learning, artificial intelligence, and scientific modeling.

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What other technologies are related to Pyro?

Pyro Competitor Technologies

TensorFlow Probability

TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow, offering similar functionality to Pyro for probabilistic programming and inference.

mentioned alongside Pyro in 69% (57) of relevant job posts

Stan

Stan is a probabilistic programming language for specifying statistical models. It provides algorithms for Bayesian inference, making it a competitor to Pyro in the realm of probabilistic modeling.

mentioned alongside Pyro in 10% (84) of relevant job posts

Pyro Complementary Technologies

PyTorch

Pyro is built on PyTorch and relies on it for tensor computation, automatic differentiation, and GPU acceleration. It is strongly complementary.

mentioned alongside Pyro in 0% (162) of relevant job posts

NumPy

NumPy is a fundamental package for numerical computation in Python, which Pyro and other related libraries may utilize for array manipulation and mathematical operations. It is complementary but less directly than PyTorch.

mentioned alongside Pyro in 0% (81) of relevant job posts