Alternatives and similar repositories for ICSC-HMM

Users that are interested in ICSC-HMM are comparing it to the libraries listed below

• boschresearch / PR-SSM
  Python implementation of the PR-SSM.
  ☆51Updated 6 years ago
• sorooshafiee / WKF
  ☆15Updated 6 years ago
• young-j-park / 18-NeurIPS-APIAE
  ☆21Updated 6 years ago
• sheqi / GP-RNN_UAI2019
  Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…
  ☆40Updated 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
• thangbui / sparseGP_powerEP
  Unifying sparse approximations for Gaussian process regression and classification, using Power EP
  ☆22Updated 8 years ago
• rsnirwan / GPLVMsInFinance
  Applications of Gaussian Process Latent Variable Models in Finance
  ☆11Updated 2 years ago
• michaelchughes / NPBayesHMM
  Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…
  ☆78Updated 7 years ago
• bertini36 / GMM
  Variational Inference in Gaussian Mixture Model
  ☆59Updated 4 years ago
• thangbui / streaming_sparse_gp
  Streaming sparse Gaussian process approximations
  ☆66Updated 2 years ago
• sremes / nssm-gp
  Non-stationary spectral mixture kernels implemented in GPflow
  ☆28Updated 6 years ago
• AaltoML / IHGP
  Infinite-horizon Gaussian processes
  ☆33Updated 4 years ago
• martinseilair / learningoptimalcontrol
  Great resources for learning optimal control
  ☆17Updated 5 years ago
• zhd96 / ds-hdp-hmm
  Disentangled Sticky Hierarchical Dirichlet Process Hidden Markov Model
  ☆30Updated 4 years ago
• jacobnzw / SSMToybox
  Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature
  ☆13Updated 3 years ago
• chrisdxie / in-depth-VI-tutorial
  ☆11Updated 9 years ago
• sremes / nonstationary-spectral-kernels
  Implementation for Non-stationary Spectral Kernels (NIPS 2017)
  ☆20Updated 5 years ago
• BatyaGG / Gaussian-Mixture-Models
  Gaussian Mixture Model (GMM) and Gaussian Mixture Regression (GMR) implemented purely on numpy
  ☆65Updated 6 years ago
• zhenwendai / RGP
  Python library for Recurrent Gaussian Processes
  ☆19Updated 7 years ago
• DiegoAE / BOSD
  ☆26Updated 5 years ago
• linesd / SSGPR
  Sparse Spectrum Gaussian Process Regression
  ☆23Updated 5 years ago
• wjmaddox / online_vargp
  Online variational GPs
  ☆35Updated 2 years ago
• LCAS / RKN
  ☆46Updated 2 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
  ☆19Updated 5 years ago
• kamperh / bayes_gmm
  Bayesian Gaussian mixture models in Python.
  ☆63Updated 2 years ago
• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆52Updated 3 years ago
• Stanford-ILIAD / active-preference-based-gpr
  Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"
  ☆39Updated last year
• kindredresearch / arp
  Autoregressive policies for continuous control reinforcement learning
  ☆32Updated 6 years ago
• RogerFrigola / VGPSSM
  Variational Gaussian Process State-Space Models
  ☆24Updated 9 years ago
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆65Updated 6 years ago