Discussion on Probabilistic programming in Julia.
Discussions and ideas about bringing inference algorithms and theory from statistics combined with formal semantics, compilers, and other tools from programming languages to build efficient inference evaluators for models and applications from Machine Learning.
Current Git organizations include:
Discussions about Julia’s usage for Probabilistic programming, current packages, and future package development ideas and requests are welcome.