There are 4 repositories under bayesian-nonparametric-models topic.
Dirichlet Process K-means
BayesianNonparametrics in julia
:white_medium_small_square: <- :white_circle: Structural Equation Modeling from a broader context.
Benchmarks of Bayesian Nonparametric models in Turing and other PPLs
An R Package for Bayesian Nonparametric Clustering. We plan to implement several models.
Toolbox for IBP Coupled SPCM-CRP Hidden Markov Model. Also contains code for EM-based HMM learning and inference for Bayesian non-parametric HDP-HMM and IBP-HMM.
Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning
Probabilistic inference of somatic copy number alterations using repeat DNA (FAST-SeqS)
Bayesian Nonparametric Mixture Models in Java
Toolbox for spectral non-parametric clustering of SPD matices (covariance matrices and ellipsoids). Also contains code for EM-based GMM learning and inference for Bayesian non-parametric CRP-GMM.
A Julia Package for Bayesian Nonparametric Analysis for Machine Learning
Survival Based Clustering : Consistent Clustering of continuous molecular data with censored survival times
3 week Capstone project with BP - predicting part failure based on historical data
Beta Kernel Processes Modeling
Statistical analysis and modeling using R, particularly with a focus on cluster analysis and visualization of probabilities
MATLAB code for journal paper ``Extended Multiobject Tracking with Nonparametric Bayesian Learning of Object Classes and Model Parameters"