Alternatives and similar repositories for ERRCOV_ICASSP22:

Users that are interested in ERRCOV_ICASSP22 are comparing it to the libraries listed below

• KalmanNet / Unsupervised_EUSIPCO_22
  Unsupervised Kalman Gain Estimation
  ☆18Updated 3 years ago
• zgbkdlm / tme
  Taylor moment expansion in Python (JaX and SymPy) and Matlab
  ☆11Updated 2 months ago
• zgbkdlm / ssdgp
  State-space deep Gaussian processes in Python and Matlab
  ☆30Updated 2 years ago
• sorooshafiee / WKF
  ☆14Updated 6 years ago
• AlexTMallen / dpk
  Deep Probabilistic Koopman: long-term time-series forecasting under quasi-periodic uncertainty
  ☆21Updated 3 years ago
• zshicode / Deep-Learning-Based-State-Estimation
  Incorporating Transformer and LSTM to Kalman Filter with EM algorithm
  ☆147Updated 2 years ago
• EEA-sensors / Bayesian-Filtering-and-Smoothing
  Companion Matlab and Python codes for the book Bayesian Filtering and Smoothing by Simo Särkkä and Lennart Svensson
  ☆68Updated last year
• decargroup / pykoop
  Koopman operator identification library in Python, compatible with `scikit-learn`
  ☆67Updated 3 months ago
• kokikwbt / deep-kalman-filter
  ☆13Updated 2 years ago
• AlexTMallen / koopman-forecasting
  Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory
  ☆35Updated 3 years ago
• geonchoi / Split-KalmanNet
  ☆21Updated last year
• coursekevin / svise
  Accompanying code for "State Estimation of a Physical System without Governing Equations"
  ☆84Updated 7 months ago
• cvxgrp / auto_ks
  Repository for "Fitting a Kalman Smoother to Data"
  ☆56Updated last year
• KalmanNet / Latent_KalmanNet_TSP
  ☆12Updated last year
• LCAS / RKN
  ☆47Updated 2 years ago
• morim3 / DeepKalmanFilter
  Pytorch Implementation of Deep Kalman Filter
  ☆9Updated 2 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
• MarcoTodescato / Efficient-GP-Regression-via-Kalman-Filtering
  Code to implement efficient spatio-temporal Gaussian Process regression via iterative Kalman Filtering. KF is used to resolve the tempora…
  ☆38Updated 6 years ago
• maltamiranomontero / DSM-bocd
  ☆13Updated last year
• AaltoML / IHGP
  Infinite-horizon Gaussian processes
  ☆32Updated 4 years ago
• cvxgrp / cvxpyrepair
  Code for "Automatic repair of convex optimization problems".
  ☆14Updated 5 years ago
• DanieleGammelli / DeepKalmanFilter
  Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction
  ☆43Updated 5 years ago
• zgbkdlm / dissertation
  Zheng Zhao's doctoral dissertation from Aalto University
  ☆35Updated 2 years ago
• jamesross2 / Bayesian-HMM
  A non-parametric Bayesian approach to Hidden Markov Models
  ☆85Updated last year
• mengcz13 / IJCAI2022_ST-KMRN
  Official implementation of "Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data".
  ☆10Updated 2 years ago
• ido90 / UsingKalmanFilterTheRightWay
  ☆20Updated last year
• mpoluektov / kan-polar
  Kolmogorov-Arnold Networks in MATLAB
  ☆41Updated 3 weeks ago
• KalmanNet / KalmanNet_TSP
  code for KalmanNet
  ☆307Updated last year
• manschuer / SRGP
  stochastic recursive Gaussian Process (SRGP)
  ☆20Updated 4 years ago
• rhymesg / Particle_Filter
  MATLAB implementation of standard particle filter, auxiliary particle filter, mixture particle filter, and out-of-sequence particle filte…
  ☆36Updated 5 years ago