michaelchughes / NPBayesHMM
Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP-HMM). Implemented in Matlab.
☆79Updated 7 years ago
Alternatives and similar repositories for NPBayesHMM:
Users that are interested in NPBayesHMM are comparing it to the libraries listed below
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆65Updated 7 years ago
- Variational Gaussian Process State-Space Models☆23Updated 9 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆137Updated 7 years ago
- Bayesian Gaussian mixture models in Python.☆64Updated last year
- ☆93Updated 6 years ago
- Sticky hierarchical Dirichlet process hidden Markov model for time series denoising☆45Updated 8 years ago
- Black box variational inference for state space models☆1Updated 8 years ago
- Deep Gaussian Processes in matlab☆91Updated 3 years ago
- Fastfit matlab toolbox☆25Updated 8 years ago
- ☆153Updated 5 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- Bayesian GPLVM in MATLAB and R☆74Updated 7 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆31Updated 7 years ago
- A library for hidden semi-Markov models with explicit durations☆83Updated 3 years ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- A non-parametric Bayesian approach to Hidden Markov Models☆85Updated last year
- some tools for gaussian linear dynamical systems☆88Updated 6 years ago
- Python implementation of the PR-SSM.☆51Updated 6 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆49Updated 9 years ago
- Variational Bayesian GP-LVM model in MATLAB.☆12Updated 9 years ago
- Python Library for Particle based estimation methods☆61Updated 6 years ago
- autoregressive plugin☆27Updated 2 years ago
- Dirichlet process mixture model code in Matlab. Sampling and variational.☆70Updated 12 years ago
- A collection of Gaussian process models☆30Updated 7 years ago
- Matlab code for S. Theodoridis' "Machine Learning: A Bayesian and Optimization Perspective" (2015).☆66Updated 6 years ago
- Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB☆221Updated last year
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆31Updated 5 years ago
- Variational Bayesian Canonical Correlation Analysis☆30Updated 7 years ago
- GPstuff - Gaussian process models for Bayesian analysis☆172Updated 2 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 10 years ago