Dirichlet Process K-means

BayesianNonparametrics in julia

◽ <- ⚪ 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.

Bayesian Nonparametric Mixture Models in Julia

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 Non-Parametric Image Segmentation using HDP-MRF

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

3 week Capstone project with BP - predicting part failure based on historical data

Survival Based Clustering : Consistent Clustering of continuous molecular data with censored survival times

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"

Beta Kernel Processes Modeling

Rcpp Package implements Hierarchical Functional Models

Bayesian Nonparametrics Models