Alternatives and similar repositories for IHGP

Users that are interested in IHGP are comparing it to the libraries listed below

• AaltoML / boundary-gp
  Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
  ☆23Updated 6 years ago
• zgbkdlm / ssdgp
  State-space deep Gaussian processes in Python and Matlab
  ☆30Updated 3 years ago
• jacobnzw / SSMToybox
  Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature
  ☆13Updated 3 years ago
• erichanslee / GP_Derivatives
  Scalable Gaussian Process Regression with Derivatives
  ☆38Updated 6 years ago
• EEA-sensors / sequential-parallelization-examples
  This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.
  ☆32Updated last year
• sorooshafiee / WKF
  ☆15Updated 6 years ago
• sursu / Bayesian-Filtering
  Bayesian Filtering & Smoothing demos
  ☆19Updated 5 years ago
• sremes / nssm-gp
  Non-stationary spectral mixture kernels implemented in GPflow
  ☆28Updated 6 years ago
• thangbui / sparseGP_powerEP
  Unifying sparse approximations for Gaussian process regression and classification, using Power EP
  ☆22Updated 8 years ago
• pmorenoz / RecyclableGP
  Recyclable Gaussian Processes
  ☆11Updated 2 years ago
• HildoBijl / SONIG
  Matlab source code for the SONIG algorithm: Sparse Online Noisy-Input Gaussian process regression.
  ☆28Updated 7 years ago
• thangbui / streaming_sparse_gp
  Streaming sparse Gaussian process approximations
  ☆66Updated 2 years ago
• hughsalimbeni / DGPs_with_IWVI
  Deep Gaussian Processes with Importance-Weighted Variational Inference
  ☆39Updated 6 years ago
• danilkuzin / GP-EnKF
  Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…
  ☆17Updated 6 years ago
• LCAS / RKN
  ☆46Updated 2 years ago
• wjmaddox / online_gp
  Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"
  ☆62Updated 4 years ago
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆100Updated last year
• sremes / nonstationary-spectral-kernels
  Implementation for Non-stationary Spectral Kernels (NIPS 2017)
  ☆20Updated 5 years ago
• tingiskhan / pyfilter
  Particle filtering and sequential parameter inference in Python
  ☆83Updated 2 years ago
• zgbkdlm / dissertation
  Zheng Zhao's doctoral dissertation from Aalto University
  ☆34Updated 2 years ago
• thangbui / geepee
  A collection of Gaussian process models
  ☆30Updated 7 years ago
• secondmind-labs / markovflow
  A Tensorflow based library for Time Series Modelling with Gaussian Processes
  ☆32Updated 11 months ago
• VietTran86 / Copula-Variational-Bayes
  Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2…
  ☆54Updated 6 years ago
• cvxgrp / dmcp
  A CVXPY extension for multi-convex programming
  ☆46Updated 2 years ago
• linesd / SSGPR
  Sparse Spectrum Gaussian Process Regression
  ☆23Updated 5 years ago
• wjmaddox / online_vargp
  Online variational GPs
  ☆35Updated 2 years ago
• cvxgrp / auto_ks
  Repository for "Fitting a Kalman Smoother to Data"
  ☆59Updated last year
• pierresegonne / VINF
  Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
  ☆25Updated 5 years ago
• maziarraissi / ParametricGP
  Parametric Gaussian Process Regression for Big Data
  ☆45Updated 5 years ago
• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆44Updated 7 years ago