pyro-ppl/pyro
A deep universal probabilistic programming library built on PyTorch for scalable Bayesian inference and variational inference.
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Pyro is a flexible, scalable deep probabilistic programming library built on top of PyTorch. It provides high-level abstractions for expressing generative and inference models while allowing customization of inference algorithms. Originally developed at Uber AI and now maintained by the community including the Broad Institute, it supports universal probability distributions, variational inference, and Bayesian deep learning.
Frequently asked
- What is pyro-ppl/pyro?
- A deep universal probabilistic programming library built on PyTorch for scalable Bayesian inference and variational inference.
- Is pyro open source?
- Yes — pyro-ppl/pyro is open source, released under the Apache-2.0 license.
- What language is pyro written in?
- pyro-ppl/pyro is primarily written in Python.
- How popular is pyro?
- pyro-ppl/pyro has 9k stars on GitHub.
- Where can I find pyro?
- pyro-ppl/pyro is on GitHub at https://github.com/pyro-ppl/pyro.