R implementation of the Dirichlet Process Gaussian Mixture Model (with MCMC)

Predicting Purchase Rates in Stationary Markets

Probabilistic Models of Human and Machine Intelligence

Accurate estimation of conditional categorical probability distributions using Hierarchical Dirichlet Processes

A demo of Dirichlet Distribution, Dirichlet Process and the Chinese Restaurant Process based GMM Clustering

Bayesian Overlapping Community Detector (DBOCD) in Dynamic Networks

Collection of probabilistic models and inference algorithms

Brief introduction and implementations of related concepts to Dirichlet Processes: GEM distribution, Polya Urn, Chinese restaurant process, Stick-Breaking construction, and Posterior of a DP.

Implementation of Rasmussen's paper on The Infinite Gaussian Mixture Model

This repository captures code developed during my PhD at the University of Bath and includes the implementation of the DP-GP-LVM model.

ACM CHIL 2020: "Survival Cluster Analysis"

This code belongs to ACL conference paper entitled as "An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering"

streaming field recording shuffler cross-platform and JACK audio

A Predictive View of Bayesian Clustering

Codes for Chandra, et al. (2021+). Escaping the curse of dimensionality in Bayesian model based clustering. Please refer to the original paper for details https://arxiv.org/abs/2006.02700

Code for our UAI '20 paper "Scalable and Flexible Clustering of Grouped Data via Parallel and Distributed Sampling in Versatile Hierarchical Dirichlet Processes"

Code to work with Dirichlet processes and hierarchical Dirichlet processes and perform inference using MCMC.

MATALAB code for "Clustering Curves Based on Change Point Analysis: A Nonparametric Bayesian Approach", Statistica Sinica

An R Package for Bayesian Nonparametric Clustering. We plan to implement several models.