Alternatives and similar repositories for goppy

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

• zgbkdlm / tme
  Taylor moment expansion in Python (JaX and SymPy) and Matlab
  ☆11Updated last year
• zgbkdlm / ssdgp
  State-space deep Gaussian processes in Python and Matlab
  ☆30Updated 3 years ago
• thangbui / streaming_sparse_gp
  Streaming sparse Gaussian process approximations
  ☆69Updated 3 years ago
• cvxgrp / auto_ks
  Repository for "Fitting a Kalman Smoother to Data"
  ☆61Updated last year
• linesd / SSGPR
  Sparse Spectrum Gaussian Process Regression
  ☆25Updated 5 years ago
• sorooshafiee / WKF
  ☆16Updated 7 years ago
• Bigpig4396 / Incremental-Gaussian-Process-Regression-IGPR
  ☆16Updated 4 years ago
• pmorenoz / ContinualGP
  Continual Gaussian Processes
  ☆31Updated 2 years ago
• Yusufma03 / pfrnns
  Particle Filter Recurrent Neural Networks (AAAI 2020)
  ☆78Updated last year
• aidanscannell / mogpe
  Mixtures of Gaussian Process Experts in GPflow/TensorFlow
  ☆12Updated 3 years ago
• tingiskhan / pyfilter
  Particle filtering and sequential parameter inference in Python
  ☆83Updated 2 years ago
• pmorenoz / HetMOGP
  Heterogeneous Multi-output Gaussian Processes
  ☆54Updated 5 years ago
• nbfigueroa / ICSC-HMM
  Toolbox for IBP Coupled SPCM-CRP Hidden Markov Model. Also contains code for EM-based HMM learning and inference for Bayesian non-paramet…
  ☆14Updated 6 years ago
• dgedon / DeepSSM_SysID
  Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
  ☆100Updated 4 years ago
• DiegoAE / BOSD
  ☆26Updated 5 years ago
• DanieleGammelli / DeepKalmanFilter
  Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction
  ☆48Updated 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 7 years ago
• pmorenoz / RecyclableGP
  Recyclable Gaussian Processes
  ☆11Updated 3 years ago
• jnez71 / kalmaNN
  Extended Kalman filter for training neural-networks
  ☆97Updated 5 years ago
• AaltoML / IHGP
  Infinite-horizon Gaussian processes
  ☆33Updated 5 years ago
• jmarecek / OnlineLDS
  Source code for the AAAI 2019 paper "On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters" (https://arx…
  ☆19Updated 4 years ago
• erichanslee / GP_Derivatives
  Scalable Gaussian Process Regression with Derivatives
  ☆38Updated 7 years ago
• thangbui / sparseGP_powerEP
  Unifying sparse approximations for Gaussian process regression and classification, using Power EP
  ☆22Updated 9 years ago
• jacobnzw / SSMToybox
  Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature
  ☆12Updated 4 years ago
• GalaxyFox / DS-GA-3001-Deep_Kalman_Filter
  This is a re-implementation and test on paper Deep Kalman Filter: https://arxiv.org/pdf/1511.05121.pdf
  ☆20Updated 6 years ago
• jsll / Extended-Kalman-Filter-Q-learning
  A PyTorch implementation of the Extended Kalman Filter Q-learning algorithm presented in the paper "Deep Robust Kalman Filter"
  ☆13Updated 7 years ago
• fmorenopino / HeterogeneousHMM
  Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…
  ☆80Updated 2 years ago
• gerdm / weighted-likelihood-filter
  Code for the paper "Outlier-robust Kalman Filtering through Generalised Bayes" presented at ICML 2024
  ☆71Updated 4 months ago
• wjmaddox / online_vargp
  Online variational GPs
  ☆37Updated 2 years ago
• Ralami1859 / BayesianOnlineChange-pointDetection-python-codes-
  Implementation of the Bayesian Online Change-point Detector of Ryan Prescott Adams and David McKay.
  ☆15Updated 4 years ago