deep-gaussian-processes

There are 2 repositories under deep-gaussian-processes topic.

• FelixOpolka / Deep-Gaussian-Process

  🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0

  bayesian-inferencedeep-gaussian-processesgaussian-processesgpflowmachine-learningtensorflow
  Language:Python 26

• aboustati / dgplib

  Library for Deep Gaussian Processes based on GPflow

  deep-gaussian-processesgpflowgaussian-processesdeephierarchical
  Language:Python 19

• mingdeyu / DGP

  Python package 'dgpsi' for deep and linked Gaussian process emulations

  deep-gaussian-processesemulationgaussian-processespackagepythonsurrogate-models
  Language:Python 19

• spectraldani / thindeepgps

  Reference implementation of Thin and Deep Gaussian Processes (NeurIPS 2023)

  deep-gaussian-processes
  Language:Python 9
• Deep-LFM

  tomcdonald / Deep-LFM

  Code for the NeurIPS 2021 paper "Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features"

  deep-gaussian-processesphysics-informed-learning
  Language:Python 7

• nips20-2515 / DGP-Graph

  Codes for paper "Stochastic Deep Gaussian Processes over Graphs"

  deep-gaussian-processesgaussian-processesgraph-modelpython
  Language:Python 4

• f-izzat / DGP-StochasticImputation

  A C++ implementation of Deep Gaussian Process with Stochastic Imputation

  deep-gaussian-processesgaussian-process-regressionstochastic-imputation
  Language:C++ 2
• np-dgp

  tomcdonald / np-dgp

  PyTorch implementation of shallow and deep nonparametric convolutions for Gaussian processes

  deep-gaussian-processesgaussian-processes
  Language:Python 2

• JBris / deepgp_eval

  Evaluating Deep Gaussian processes

  bayesianbayesian-inferencedeep-gaussian-processesdeep-kernel-learningdeep-learninggaussian-processesbayesian-gaussian-processessk2torchgpytorchnutspyro
  Language:Jupyter Notebook 1

• mingdeyu / dgpsi-R

  R interface to 'dgpsi' for deep and linked Gaussian process emulations

  deep-gaussian-processesemulationgaussian-processespackagersurrogate-models
  Language:R 0