Archives for probabilistic programming
Pyro is a state-of-the-art programming language for deep probabilistic modelling. It is a flexible and scalable probabilistic programming language (PPL). It unifies the modern concepts of deep learning and Bayesian modelling. It has been written in Python and built on top of Pytorch. The Uber AI Labs introduced it in 2017. A team now maintains…
The post Guide To Pyro – A Deep Probabilistic Programming Language appeared first on Analytics India Magazine.
Pyro is a state-of-the-art programming language for deep probabilistic modelling. It is a flexible and scalable probabilistic programming language (PPL). It unifies the modern concepts of deep learning and Bayesian modelling. It has been written in Python and built on top of Pytorch. The Uber AI Labs introduced it in 2017. A team now maintains…
The post Guide To Pyro – A Deep Probabilistic Programming Language appeared first on Analytics India Magazine.
Pyro is a state-of-the-art programming language for deep probabilistic modelling. It is a flexible and scalable probabilistic programming language (PPL). It unifies the modern concepts of deep learning and Bayesian modelling. It has been written in Python and built on top of Pytorch. The Uber AI Labs introduced it in 2017. A team now maintains…
The post Guide To Pyro – A Deep Probabilistic Programming Language appeared first on Analytics India Magazine.
Introduction Infer.NET is a framework for making Bayesian inference on graphical models. The user specifies the factors and variables of a graphical model. Infer.NET analyses them and creates a schedule for making inference on the model. The model can then be queried for marginal distributions. Microsoft Research and .NET Foundation developed Infer.NET. It is also…
The post Introduction To Infer.NET – A Framework For Probabilistic Programming in DOTNET appeared first on Analytics India Magazine.