differential-dgp

Implementation of stochastic variational inference for differentially deep gaussian processes

zero-inflated-gp

Implementation of Variational Zero-Inflated Gaussian Process with Sparse Kernels

gaussian-process-odes

Implementation of the work Variational multiple shooting for Bayesian ODEs with Gaussian processes

gprn-svi

Implementation for Stovhastic Variational Inference for following models :Gaussian Process Regression Netwroks (Wilson, 2011) and Sparse GPRN

sleep-tracking

Sleep stage estimation using RNNs with physiological data from wearable devices