Alternatives and similar repositories for NPBayesHMM

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

• DrugowitschLab / VBLinLogit
  Variational Bayes linear and logistic regression
  ☆35Updated 6 years ago
• mattjj / pyslds
  ☆98Updated 7 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆67Updated 8 years ago
• acerbilab / vbmc
  Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
  ☆232Updated 2 years ago
• mattjj / pylds
  some tools for gaussian linear dynamical systems
  ☆90Updated 7 years ago
• RogerFrigola / VGPSSM
  Variational Gaussian Process State-Space Models
  ☆25Updated 10 years ago
• chengl7 / LonGP
  Gaussian process regression + automatical model selection for logitudinal -omics data
  ☆20Updated 4 years ago
• SheffieldML / vargplvm
  Bayesian GPLVM in MATLAB and R
  ☆76Updated 8 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 / theano_pyglm
  Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…
  ☆45Updated 11 years ago
• kamperh / bayes_gmm
  Bayesian Gaussian mixture models in Python.
  ☆64Updated 2 years ago
• SheffieldML / GPmat
  Matlab implementations of Gaussian processes and other machine learning tools.
  ☆143Updated 8 years ago
• Mogeng / IOHMM
  Input Output Hidden Markov Model (IOHMM) in Python
  ☆172Updated last year
• SheffieldML / deepGP
  Deep Gaussian Processes in matlab
  ☆93Updated 4 years ago
• ganguli-lab / twpca
  🕝 Time-warped principal components analysis (twPCA)
  ☆127Updated 4 years ago
• kimjingu / nonnegfac-matlab
  Matlab implementations of fast algorithms for nonnegative matrix and tensor factorizations
  ☆58Updated 11 years ago
• bertini36 / GMM
  Variational Inference in Gaussian Mixture Model
  ☆61Updated 5 years ago
• rmgarnett / gpml_extensions
  Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.
  ☆34Updated 8 years ago
• epfl-lts2 / pyunlocbox
  A Python convex optimization package using proximal splitting methods
  ☆119Updated 3 months ago
• mattjj / pyhsmm-autoregressive
  autoregressive plugin
  ☆27Updated 3 years ago
• slinderman / pyglm
  Interpretable neural spike train models with fully-Bayesian inference algorithms
  ☆48Updated 7 years ago
• probml / pmtksupport
  Various packages used by PMTK.
  ☆56Updated 6 years ago
• Craigacp / MIToolbox
  Mutual Information functions for C and MATLAB
  ☆144Updated 7 years ago
• tminka / fastfit
  Fastfit matlab toolbox
  ☆27Updated 8 years ago
• ryotat / tensor
  matlab code for convex optimization based tensor decomposition (completion/denoising)
  ☆44Updated 11 years ago
• lawrennd / vargplvm
  Variational Bayesian GP-LVM model in MATLAB.
  ☆12Updated 10 years ago
• bnpy / bnpy
  Bayesian nonparametric machine learning for Python
  ☆234Updated 2 years ago
• alphacsc / alphacsc
  Convolution dictionary learning for time-series
  ☆133Updated last month
• mattjj / pybasicbayes
  ☆155Updated 6 years ago
• brian-lau / MatlabStan
  Matlab interface to Stan, a package for Bayesian inference
  ☆86Updated 2 years ago