dirichlet-process

dm13450/dirichletprocess

Build dirichletprocess objects for data analysis

BGU-CS-VIL/DPMMSubClusters.jl

Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning Workshop 2019)

AdalbertoCq/Dirichlet_processes

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.

paidamoyo/survival_cluster_analysis

ACM CHIL 2020: "Survival Cluster Analysis"

jirotubuyaki/ThunderBayesR

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

JayKumarr/OSDM

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

HKU-MedAI/cDPMIL

[ECCV'24] cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process

BGU-CS-VIL/VersatileHDPMixtureModels.jl

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

fpetitjean/HDP

Accurate estimation of conditional categorical probability distributions using Hierarchical Dirichlet Processes

alumbreras/DP-GMM

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

asaparov/hdp

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

Vrroom/infiniteGMM

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

AndrewRLawrence/dp_gp_lvm

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

dmedri/nbdprogram

Predicting Purchase Rates in Stationary Markets

noirritchandra/Lamb

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

sdeepaknarayanan/Dirichlet-Process-Demonstration

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

blakemoya/copre

Source code for the CopRe R package

gabrielecorbo/Bayesian-mixture-model-for-environmental-application

This project was realized for the Bayesian Statistics course, held at Politecnico di Milano, A.Y. 2022/2023.

kumarbhrgv/PM

Probabilistic Models of Human and Machine Intelligence

mainkoon81/ooo-Bayesian-Modeling-C1

Non-parametric Bayesian Model

pokan975/Research-Misc-Files

SaberCali/Chinese-Restaurant-Progress-CRP-

It is about Chinese Restaurant Progress.

zhangz19/CPC

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

apeterson91/rstapDP

Functional Spatial Temporal Aggregated Dirichlet Process Predictors

ecashin/acoustic-walk

streaming field recording shuffler cross-platform and JACK audio

frimane/InfHMM-Infinit-Hidden-Markov-Model

The code interface is written in R, and for the sake of speed, most parts are written in C++. However, no prerequisite knowledge for both languages is required to run the code. An R file called runInfHMM.R sources all needed functions to compile and run the code.

mahsa91/DBOCD

Bayesian Overlapping Community Detector (DBOCD) in Dynamic Networks

remydeshayes/bayesian_clustering

A Predictive View of Bayesian Clustering