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A scalable general purpose micro-framework for defining dataflows.
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GaussianProcesses.jl is a Julia package for Gaussian Processes that allows fitting exact Gaussian process models when observations are Gaussian distributed about the latent function. The main GP function fits Gaussian and non-Gaussian data, and parameters can be estimated by maximizing the log-likelihood or sampled with Hamiltonian Monte Carlo.