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New Repo: MuyGPys July 30, 2021

MuyGPys is a Gaussian process estimation method that affords fast hyperparameter optimization by way of performing leave-one-out cross-validation. MuyGPys achieves best-in-class speed and scalability by limiting inference to the information contained in k nearest neighborhoods for prediction locations for both hyperparameter optimization and tuning. Documentation and other resources are available at the MuyGPys Read the Docs site.