A Nonparametric Variational Inference package for Julia language supporting Turing proabilistic programs.
An applied course on Probabilistic Machine Learning and Bayesian methods using Julia
This presentation was a friendly introduction to Probabilistic Programming. We explored how modern inference methods and recent advances in Differentiable Programming can help us unlock the full potential of Bayesian Machine Learning.
Researcher in Probabilistic Machine Learning
MSc Student in Applied Mathematics