Alternatives and similar repositories for sgmcmc_ssm_code:

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

• 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
• pmorenoz / ContinualGP
  Continual Gaussian Processes
  ☆32Updated last year
• anfelopera / lineqGPR
  Gaussian processes regression models with linear inequality constraints
  ☆14Updated 6 months ago
• XiaoouPan / adaHuber
  Tuning-Free Huber Regression
  ☆14Updated 2 years ago
• pmorenoz / HierCPD
  Hierarchical Change-Point Detection
  ☆14Updated 6 years ago
• zgbkdlm / ssdgp
  State-space deep Gaussian processes in Python and Matlab
  ☆30Updated 2 years ago
• pmorenoz / RecyclableGP
  Recyclable Gaussian Processes
  ☆11Updated 2 years ago
• jmarecek / OnlineLDS
  Source code for the AAAI 2019 paper "On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters" (https://arx…
  ☆19Updated 3 years ago
• zgbkdlm / tme
  Taylor moment expansion in Python (JaX and SymPy) and Matlab
  ☆11Updated last month
• Roth-Lab / pgsm
  ☆12Updated 7 years ago
• MaxGermain / MultistepBSDE
  Deep multistep methods to solve BSDEs of first and second order for the approximation of PDE solutions
  ☆16Updated 4 years ago
• mfrdixon / GP-CVA
  ☆14Updated 5 years ago
• trouleau / var-hawkes
  Learning Hawkes Processes from a Handful of Events
  ☆13Updated last year
• RogerFrigola / VGPSSM
  Variational Gaussian Process State-Space Models
  ☆23Updated 9 years ago
• sremes / nssm-gp
  Non-stationary spectral mixture kernels implemented in GPflow
  ☆28Updated 6 years ago
• gatsby-sahani / gp-sde
  ☆13Updated last year
• DiegoAE / BOSD
  ☆25Updated 4 years ago
• cyianor / smc2017
  Collected code and materials from the intensive course preparing for the workshop on Sequential Monte Carlo (SMC) methods at Uppsala Univ…
  ☆21Updated 6 years ago
• wgurecky / StarVine
  Tools to construct canonical and regular vines. StarVine can also be used as a bivariate copula fitting tool.
  ☆15Updated 4 years ago
• AaltoML / boundary-gp
  Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
  ☆23Updated 5 years ago
• FelixOpolka / Deep-Gaussian-Process
  🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0
  ☆26Updated 11 months ago
• alan-turing-institute / rbocpdms
  Robust bayesian online changepoint detection with model selection
  ☆23Updated 6 years ago
• rasmusbergpalm / pytorch-lgssm
  A Linear Gaussian State Space Model (LGSSM) for pytorch, also known as a Linear Dynamical System (LDS)
  ☆12Updated 3 years ago
• CivML-PolyMtl / OpenBDLM
  Bayesian Dynamic Linear Models for time-series analysis
  ☆25Updated 2 years ago
• VietTran86 / Copula-Variational-Bayes
  Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2…
  ☆51Updated 6 years ago
• cambridge-mlg / sghmc_dgp
  ☆28Updated 5 years ago
• chengl7 / LonGP
  Gaussian process regression + automatical model selection for logitudinal -omics data
  ☆21Updated 3 years ago
• stochasticresearch / copula-py
  Python Copula Module
  ☆43Updated last year
• asnelt / mixedvines
  Python package for canonical vine copula trees with mixed continuous and discrete marginals
  ☆47Updated last year
• nbfigueroa / ICSC-HMM
  Toolbox for IBP Coupled SPCM-CRP Hidden Markov Model. Also contains code for EM-based HMM learning and inference for Bayesian non-paramet…
  ☆15Updated 5 years ago