pyro
- Pyro is a flexible, scalable deep probabilistic programming library built on PyTorch. Notably, it was designed with these principles in mind: - **Universal**: pyro is a universal PPL -- it can represent any computable probability distribution. - **Scalable**: pyro scales to large data sets with little overhead compared to hand-written code. - **Minimal**: pyro is agile and maintainable. It is implemented with a small core of powerful, composable abstractions. - **Flexible**: pyro aims for automation when you want it, control when you need it. This is accomplished through high-level abstractions to express generative and inference models, while allowing experts easy-access to customize inference.