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Desenvolvedores de Julia, modeladores probabilísticos e especialistas em visualização trabalhando com RxInfer.jl.
Desenvolvendo capacidades de visualização para modelos probabilísticos do RxInfer.jl.
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Este projeto de Ecossistema melhora as capacidades de visualização de modelos do RxInfer.jl — desenvolvendo ferramentas que facilitam a visualização, exploração e compreensão da estrutura e dinâmica dos modelos gerativos construídos com o sistema RxInfer.
Good visualization tools make probabilistic models more interpretable and accessible. This project develops visualization infrastructure for RxInfer.jl, contributing to a growing ecosystem of tooling around the system. Work includes graph rendering, inference visualization, and interactive exploration interfaces. The project is led by Fraser Paterson, developed in partnership with BIASlab, the university research lab where RxInfer.jl originated.
Programadores de Julia, especialistas em visualização e praticantes de Inferência Ativa são bem-vindos.
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Computational meta-analysis of Active Inference literature with nanopublication and knowledge-graph outputs.
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Notebook-based applied Active Inference work connected to blockchain-adjacent and generative modeling examples.
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Python models and materials for ant-inspired multiagent Active Inference.
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Active Inference & Category Theory
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Active Entity Ontology for Science
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