Julia programmers, probabilistic modelers, and Active Inference practitioners working with RxInfer.jl.

RxInfer.jl Learning and Development Group

Learning, applying, and extending the RxInfer.jl reactive message-passing inference system.

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The RxInfer.jl Learning and Development Group supports learning and extending RxInfer.jl, a Julia package for reactive Bayesian inference. The group produces learning resources, code examples, and contributes to the broader development of RxInfer as a platform for Active Inference.

Overview

RxInfer.jl is a reactive message-passing probabilistic programming system developed externally and adopted by the Institute as a key platform for Active Inference implementations. The Institute's learning group focuses on understanding, applying, and extending RxInfer across Active Inference use cases — building examples, documentation, and learning pathways for community members.

Participate

Participants can join learning sessions, contribute examples, or help improve RxInfer's visualization capabilities. Julia programming experience is helpful but structured learning sessions accommodate all levels.

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RxInfer.jl Learning and Development Group at a glance

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