Tutorials of Pyro
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刘政(Barry Liu) ae9d6378a6 An Introduction to Models in_Pyro 2 weeks ago
An_Introduction_to_Models_in_Pyro.ipynb An Introduction to Models in_Pyro 2 weeks ago
README.md README 2 weeks ago

README.md

Pyro Tutorials

Introduction of Pyro

Pyro is a universal probabilistic programming language (PPL) written in Python and supported by PyTorch on the backend. Pyro enables flexible and expressive deep probabilistic modeling, unifying the best of modern deep learning and Bayesian modeling. It was designed with these key principles:

Universal: Pyro can represent any computable probability distribution.
Scalable: Pyro scales to large data sets with little overhead.
Minimal: Pyro is implemented with a small core of powerful, composable abstractions.
Flexible: Pyro aims for automation when you want it, control when you need it.

Features

  • Language: Python
  • OS: Windows/Linux/MacOs