methodology-14
Probabilistic Programming
3260 papers • 126 benchmarks • 313 datasets
Probabilistic programming languages are designed to describe probabilistic models and then perform inference in those models. PPLs are closely related to graphical models and Bayesian networks, but are more expressive and flexible. ( Image credit: Michael Betancourt )
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in probabilistic-programming-14
Trend
Dataset
Best Model
Actions
No benchmarks available.
Libraries
iUse these libraries to find probabilistic-programming-14 models and implementations
2 papers 663
Datasets
No datasets available.
Subtasks
No subtasks available.