🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0
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Updated
Feb 11, 2024 - Python
🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0
Python package 'dgpsi' for deep and linked Gaussian process emulations
Library for Deep Gaussian Processes based on GPflow
Reference implementation of Thin and Deep Gaussian Processes (NeurIPS 2023)
Code for the NeurIPS 2021 paper "Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features"
Codes for paper "Stochastic Deep Gaussian Processes over Graphs"
A C++ implementation of Deep Gaussian Process with Stochastic Imputation
PyTorch implementation of shallow and deep nonparametric convolutions for Gaussian processes
Evaluating Deep Gaussian processes
R interface to 'dgpsi' for deep and linked Gaussian process emulations
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