DPMM.jl

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This project is a research work on distributed inference for Dirichlet Process Mixture Models on Julia by me with the supervision of John W. Fischer III. I implemented distributed Split-Merge Gibbs sampler in Julia which is both modular and as efficient as C++ implementation (see benchmark results). Here are some resulting clusters from NYTimes articles dataset.