Alternatives and similar repositories for GP-HSMM

Users that are interested in GP-HSMM are comparing it to the libraries listed below

• naka-lab / HDP-GP-HSMM
  ☆11Updated last year
• mathDR / BP-AR-HMM
  Straight port of Emily Fox's Beta Process Auto Regressive Hidden Markov Model package
  ☆14Updated 10 years ago
• kasparmartens / c-GPLVM
  PyTorch implementation of the Covariate-GPLVM
  ☆25Updated 5 years ago
• LCAS / RKN
  ☆47Updated 3 years ago
• jamesross2 / Bayesian-HMM
  A non-parametric Bayesian approach to Hidden Markov Models
  ☆86Updated 2 years ago
• mbaltieri / PIDcontrolActiveInference
  PID-like control implemented as active inference with linear generative models
  ☆11Updated 5 years ago
• gatsby-sahani / gp-sde
  ☆15Updated 2 years ago
• samcohen16 / Aligning-Time-Series
  ☆51Updated last year
• mattjj / pyslds
  ☆98Updated 7 years ago
• sheqi / GP-RNN_UAI2019
  Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…
  ☆40Updated 3 years ago
• slinderman / recurrent-slds
  Recurrent Switching Linear Dynamical Systems
  ☆116Updated 2 years ago
• catniplab / tree_structured_rslds
  Tree-structured recurrent switching linear dynamical systems
  ☆37Updated 5 years ago
• hmorioka / TCL
  Time-Contrastive Learning
  ☆67Updated 7 years ago
• sremes / nssm-gp
  Non-stationary spectral mixture kernels implemented in GPflow
  ☆28Updated 7 years ago
• lindermanlab / ssm-jax
  Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
  ☆61Updated last year
• dgedon / DeepSSM_SysID
  Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
  ☆99Updated 4 years ago
• jvkersch / hsmmlearn
  A library for hidden semi-Markov models with explicit durations
  ☆85Updated 4 years ago
• dderiso / gdtw
  GDTW is a Python/C++ library that performs dynamic time warping. It is based on a paper by Dave Deriso and Stephen Boyd.
  ☆40Updated 7 months ago
• geomstats / applications
  Examples of more involved applications using Geomstats
  ☆33Updated 4 years ago
• AaltoML / IHGP
  Infinite-horizon Gaussian processes
  ☆33Updated 5 years ago
• katsuma-inoue / soft_skeleton_solver
  ☆15Updated 4 years ago
• hanyas / mimo
  A toolbox for inference of mixture models
  ☆16Updated 2 years ago
• zhenwendai / RGP
  Python library for Recurrent Gaussian Processes
  ☆22Updated 8 years ago
• 1sa014kawa / JetEDMD
  ☆13Updated 5 months ago
• bwbrunton / dmd-neuro
  code to compute the Dynamic Mode Decomposition (DMD), adapted for large-scale neural recordings
  ☆27Updated 9 years ago
• oizumi-lab / GWTune
  ☆22Updated 10 months ago
• timkimd / plnde
  Code for "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations"
  ☆13Updated 4 years ago
• kubota0130 / ipc
  ☆28Updated 2 years ago
• BruntonUWBio / STIMD
  ☆11Updated 7 years ago
• AlexanderFabisch / gmr
  Gaussian Mixture Regression
  ☆197Updated 4 months ago