Alternatives and similar repositories for auto_ks

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

• tingiskhan / pyfilter
  Particle filtering and sequential parameter inference in Python
  ☆83Updated 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
  ☆82Updated last year
• gerdm / weighted-likelihood-filter
  Code for the paper "Outlier-robust Kalman Filtering through Generalised Bayes" presented at ICML 2024
  ☆71Updated 2 months ago
• AaltoML / IHGP
  Infinite-horizon Gaussian processes
  ☆33Updated 5 years ago
• jacobnzw / SSMToybox
  Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature
  ☆12Updated 4 years ago
• strongio / torchcast
  Forecasting with PyTorch
  ☆55Updated last month
• sorooshafiee / WKF
  ☆16Updated 7 years ago
• sursu / Bayesian-Filtering
  Bayesian Filtering & Smoothing demos
  ☆19Updated 6 years ago
• milsto / robust-kalman
  Robust Kalman filter with adaptive noise statistics estimation.
  ☆147Updated 7 years ago
• cvxgrp / cvx_short_course
  Materials for a short course on convex optimization.
  ☆357Updated 3 months ago
• jnez71 / kalmaNN
  Extended Kalman filter for training neural-networks
  ☆97Updated 5 years ago
• joshloyal / L1-Trend-Filtering
  This is a Python package wrapper around the C solver for the l1 trend filtering algorithm written by Kwangmoo Koh, Seung-Jean Kim and Ste…
  ☆21Updated 7 years ago
• zgbkdlm / ssdgp
  State-space deep Gaussian processes in Python and Matlab
  ☆30Updated 3 years ago
• VBayesLab / VBLab
  Official documentation
  ☆31Updated 4 years ago
• Yusufma03 / pfrnns
  Particle Filter Recurrent Neural Networks (AAAI 2020)
  ☆78Updated last year
• sjblim / rnf-ijcnn-2020
  Recurrent Neural Filters for Time Series Prediction
  ☆23Updated 5 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
• oseiskar / simdkalman
  Python Kalman filters vectorized as Single Instruction, Multiple Data
  ☆189Updated 2 years ago
• erichanslee / GP_Derivatives
  Scalable Gaussian Process Regression with Derivatives
  ☆38Updated 7 years ago
• pmorenoz / RecyclableGP
  Recyclable Gaussian Processes
  ☆11Updated 3 years ago
• oxfordcontrol / ClarabelDocs
  Documentation for the Clarabel interior point conic solver
  ☆30Updated 7 months ago
• johnhw / pfilter
  Basic Python particle filter
  ☆180Updated 2 years ago
• pmorenoz / ContinualGP
  Continual Gaussian Processes
  ☆31Updated 2 years ago
• zgbkdlm / tme
  Taylor moment expansion in Python (JaX and SymPy) and Matlab
  ☆11Updated last year
• jgosmann / goppy
  Gaussian Online Processes for Python
  ☆19Updated 11 months ago
• decargroup / pykoop
  Koopman operator identification library in Python, compatible with `scikit-learn`
  ☆102Updated 3 months ago
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆102Updated 2 years ago
• ido90 / UsingKalmanFilterTheRightWay
  ☆27Updated 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.
  ☆27Updated last year
• jerkern / pyParticleEst
  Python Library for Particle based estimation methods
  ☆64Updated 7 years ago