Pyro - Deep universal probabilistic programming with Python and PyTorch
Please also refer to the Pyro homepage . 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 compare 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. Pyro is in an alpha release. It is developed and used by Uber AI Labs . More information is available in the launch blog post . Installation First install PyTorch . Install via pip: Python 2.7.*: pip install pyro-ppl Python 3.5...