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Multi-output Gaussian process regression via multi-task neural network
code for the ICML2018 paper "Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design"
Python implementation of the MACE Bayesian optimization algorithm, the GP hyperparameters are integrated out via MCMC
A library for Gaussian process regression
A simple processor running on FPGA written in Haskell(CLaSH) and compiled into verilog
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