michaelchughes / NPBayesHMMLinks
Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP-HMM). Implemented in Matlab.
☆78Updated 7 years ago
Alternatives and similar repositories for NPBayesHMM
Users that are interested in NPBayesHMM are comparing it to the libraries listed below
Sorting:
- ☆96Updated 6 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆66Updated 7 years ago
- some tools for gaussian linear dynamical systems☆89Updated 7 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆139Updated 7 years ago
- Bayesian Gaussian mixture models in Python.☆63Updated 2 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- A library for hidden semi-Markov models with explicit durations☆86Updated 3 years ago
- Variational Bayes linear and logistic regression☆34Updated 5 years ago
- Gaussian process regression + automatical model selection for logitudinal -omics data☆21Updated 4 years ago
- Variational Inference in Gaussian Mixture Model☆59Updated 4 years ago
- Online EM algorithms for hidden Markov and semi-Markov models + applications to audio segmentation and clustering☆71Updated 10 years ago
- Bayesian GPLVM in MATLAB and R☆75Updated 7 years ago
- Variational Gaussian Process State-Space Models☆24Updated 9 years ago
- autoregressive plugin☆27Updated 2 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆51Updated 9 years ago
- Black box variational inference for state space models☆2Updated 8 years ago
- Variational Bayesian Canonical Correlation Analysis☆30Updated 8 years ago
- Input Output Hidden Markov Model (IOHMM) in Python☆167Updated 11 months ago
- Sticky hierarchical Dirichlet process hidden Markov model for time series denoising☆48Updated 8 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆32Updated 8 years ago
- Variational Bayesian GP-LVM model in MATLAB.☆12Updated 9 years ago
- Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB☆224Updated 2 years ago
- Mutual Information functions for C and MATLAB☆143Updated 7 years ago
- A non-parametric Bayesian approach to Hidden Markov Models☆87Updated 2 years ago
- Deep Gaussian Processes in matlab☆93Updated 3 years ago
- Matlab code for S. Theodoridis' "Machine Learning: A Bayesian and Optimization Perspective" (2015).☆68Updated 6 years ago
- A collection of Gaussian process models☆30Updated 7 years ago
- Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'☆22Updated 11 years ago