✨ Awesome - A curated list of amazing Topic Models (implementations, libraries, and resources)

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

Blazing fast topic modelling for short texts.

BayesianNonparametrics in julia

dmmclust is a package for clustering short texts, based on Yin and Wang (2014)

A toolbox for inference of mixture models

Direct Gibbs sampling for DPMM using python.

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

Hierarchical Dirichlet Process Generalized Linear Models

An HMM and Phylogenetic Placement based Ultra-Fast Taxonomy Assignment Tool for 16S sequencing

DIVA: A Dirichlet Process Mixtures Based Incremental Deep Clustering Algorithm via Variational Auto-Encoder

Gibbs sampler for the Distance Dependent Chinese Restaurant Process

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

A statistical approach for clonal deconvolution in cancer using longitudinal NGS data

Clustering via Dirichlet Process Mixture Models

3CPET: Finding Co-factor Complexes in Chia-PET experiment using a Hierarchical Dirichlet Process

Coordinate Ascent Variational Inference for Dirichlet Process Mixtures of Gaussians

Dirichlet Process Mixtures with the DPSearch algorithm.

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