
Open-source toolkit for learning and inference with probabilistic models.
Visit The Libra ToolkitThe Libra Toolkit is an open-source collection of algorithms and command-line tools for learning and inference with discrete probabilistic models, including Bayesian networks, Markov networks, dependency networks, sum-product networks, and arithmetic circuits. Focused on structure learning and tractable models for efficient exact inference, Libra is designed for researchers, students, and practitioners in probabilistic machine learning and statistical AI. The toolkit is built in OCaml and is intended for use in UNIX-like environments.
Visit The Libra Toolkit's official website for product details and getting started.