:game_die: Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation

Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.

An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.

TopicModel4J: A Java Package for Topic Models (Contain LDA, Collapsed Variational Bayesian Inference for LDA, author-topic model, BTM, dirichlet multinomial mixture model, DPMM, Dual Sparse Topic Model, GaussianLDA, Hierarchical Dirichlet processes, Labeled LDA, Link LDA, Pseudo-document-based Topic Model, Sentence LDA and so on)

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.

R Package. Bayesian and nonparametric quantile regression, using Gaussian Processes to model the trend, and Dirichlet Processes, for the error. Author: Carlos Omar Pardo Gomez.

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

This source directory contains library routines that provide alternative ways of computing generalised second order Stirling numbers used in working with Pitman-Yor and Dirichlet processes (PYP and DP). Included is library routines for posterior sampling on the discount and concentration parameters of the PYP/DP, and some simple demo scripts.

♻ Tools for Dirichlet Processes

Accurate estimation of conditional categorical probability distributions using Hierarchical Dirichlet Processes

Word sense induction with Hierarchical Dirichlet Processes (HDP)

Code for ECCV 2016 paper "Globally Continuous and Non-Markovian Crowd Activity Analysis from Videos"

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

Software for Bayesian nonparametric population structure analysis based on hierarchical Dirichlet processes.

Implementations of Inference algorithms for Topic Models like Latent Dirichlet Allocation, Hierarchical Dirichlet Processes, and more!

Python implementation of Hierarchical Dirichlet Processes

Gibbs sampler for the Hierarchical Dirichlet Processes with perplexity computing

Automatically exported from code.google.com/p/dirichlet-processes

Mixture models using Dirichlet Processes in Javascript

Three coursework pieces: one on Gaussian Processes, another on Probabilistic Ranking, and a final one on Latent Dirichlet Processes

This is the implementation of the Tree Structured Dirichlet Processes for Morphological Segmentation, Computational Linguistics, 2018

Code used for the paper "Model Selection for Maternal Hypertensive Disorders with Symmetric Hierarchical Dirichlet Processes" by B. Franzolini, A. Lijoi and I. Pruenster (2023), The Annals of Applied Statistics 17(1): 313-332. March 2023. DOI:10.1214/22-AOAS1628

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Presentation given on the 2015-04-30 at LaHC in the Image&Tracking group

Visualizing clustering with Dirichlet processes

Manifold-valued Dirichlet Processes on SPD manifolds

Blocked Gibbs sampler for hierarchical Dirichlet processes

A Slice Sampler for Hierarchical Dirichlet Processes

Nonparametric topic modeling via Hierarchical Dirichlet Processes

R implementation of Fleming-Viot-dependent Dirichlet Processes