ido90 / UsingKalmanFilterTheRightWay

Related projects: ⓘ

• sorooshafiee / WKF
  ☆14Updated 5 years ago
• cvxgrp / auto_ks
  Repository for "Fitting a Kalman Smoother to Data"
  ☆55Updated 6 months ago
• sursu / Bayesian-Filtering
  Bayesian Filtering & Smoothing demos
  ☆18Updated 4 years ago
• EEA-sensors / sequential-parallelization-examples
  This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.
  ☆28Updated last year
• sivantoledo / ultimate-kalman
  ☆11Updated 3 weeks ago
• decargroup / pykoop
  Koopman operator identification library in Python, compatible with `scikit-learn`
  ☆58Updated 4 months ago
• akloss / differentiable_filters
  tensorflow code for differentiable filtering
  ☆27Updated 3 years ago
• wjmaddox / online_gp
  Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"
  ☆54Updated 3 years ago
• AaltoML / IHGP
  Infinite-horizon Gaussian processes
  ☆30Updated 3 years ago
• jacobnzw / SSMToybox
  Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature
  ☆12Updated 3 years ago
• erichanslee / GP_Derivatives
  Scalable Gaussian Process Regression with Derivatives
  ☆37Updated 5 years ago
• fdcl-gwu / Matrix-Fisher-Gaussian
  Distribution and filtering on SO(3) x Euclidean space
  ☆10Updated 2 years ago
• BerenMillidge / NeuralKalmanFiltering
  Code for the simulations in the neural Kalman filtering paper
  ☆16Updated 3 years ago
• ido90 / Optimized-Kalman-Filter
  Get an optimized Kalman Filter from data of system-states and observations.
  ☆37Updated 3 months ago
• agijsberts / ssgpr
  Batch and incremental Sparse Spectrum Gaussian Process for Regression
  ☆9Updated 3 years ago
• tingiskhan / pyfilter
  Particle filtering and sequential parameter inference in Python
  ☆74Updated last year
• manschuer / SRGP
  stochastic recursive Gaussian Process (SRGP)
  ☆18Updated 3 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
  ☆60Updated 7 months ago
• wjmaddox / online_vargp
  Online variational GPs
  ☆28Updated last year
• oxcsml / constrained-diffusion
  ☆13Updated last year
• jgosmann / goppy
  Gaussian Online Processes for Python
  ☆14Updated 6 months ago
• fast-algos / pIRLS
  Fast IRLS code for solving p-norm regression problems
  ☆13Updated 4 years ago
• pmorenoz / RecyclableGP
  Recyclable Gaussian Processes
  ☆11Updated last year
• brentyi / jax-ekf
  Generic EKF, with support for non-Euclidean manifolds
  ☆22Updated 2 years ago
• EEA-sensors / parallel-non-linear-gaussian-smoothers
  Companion code in JAX for the paper Parallel Iterated Extended and Sigma-Point Kalman Smoothers.
  ☆24Updated last month
• plgreenLIRU / Gaussian-Process-SparseGP-Tutorial
  ☆14Updated this week
• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆49Updated 2 years ago
• sbitzer / UKF-exposed
  A Jupyter-notebook based article investigating (useful parameter settings for) the Unscented Kalman Filter (UKF).
  ☆28Updated 8 years ago
• jejjohnson / uncertain_gps
  Exploring how to to deal with uncertain inputs with gaussian process regression models.
  ☆26Updated 3 years ago
• zgbkdlm / tme
  Taylor moment expansion in Python (JaX and SymPy) and Matlab
  ☆13Updated last year