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1. Bayesian model averaging of an objective function over a model class using advanced MCMC techniques.

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2. A Haskell program (and library) for the creation and analysis of gene regulatory networks generated from biological pathway data.

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3. A quick script to grok the last 132 years of baby naming data.

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4. A julia binding to the C++ discrete approximate inference library for graphical models: libDAI

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5. Generate Venn diagrams in Julia using Compose.jl.

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6. Easy RAG scripts for a local, embedded, MCP-enabled knowledge store.

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