hegdepashupati
Doctoral student, Probabilistic Machine Learning group at Aalto University, Finland.
Finland
Pinned Repositories
differential-dgp
Implementation of stochastic variational inference for differentially deep gaussian processes
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
zero-inflated-gp
Implementation of Variational Zero-Inflated Gaussian Process with Sparse Kernels
hegdepashupati's Repositories
hegdepashupati/differential-dgp
Implementation of stochastic variational inference for differentially deep gaussian processes
hegdepashupati/zero-inflated-gp
Implementation of Variational Zero-Inflated Gaussian Process with Sparse Kernels
hegdepashupati/gaussian-process-odes
Implementation of the work Variational multiple shooting for Bayesian ODEs with Gaussian processes
hegdepashupati/gprn-svi
Implementation for Stovhastic Variational Inference for following models :Gaussian Process Regression Netwroks (Wilson, 2011) and Sparse GPRN
hegdepashupati/sleep-tracking
Sleep stage estimation using RNNs with physiological data from wearable devices