Boltzmann Machines in TensorFlow with examples

GSDMM: Short text clustering

Collection of probabilistic models and inference algorithms

Open Source Package for Gibbs Sampling of LDA

Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015)

Implement of L-LDA Model(Labeled Latent Dirichlet Allocation Model) with python

A PureScript, browser-based implementation of LDA topic modeling.

A method for variant graph genotyping based on exact alignment of k-mers

A Java package for the LDA and DMM topic models

Bayesian Factorization with Side Information in C++ with Python wrapper

An unsupervised machine learning algorithm for the segmentation of spatial data sets.

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

Clone identification from single-cell data

David Mackay's book review and problem solvings and own python codes, mathematica files

Inference in Bayesian Belief Networks using Probability Propagation in Trees of Clusters (PPTC) and Gibbs sampling

A Latent Dirichlet Allocation implementation in Python.

AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.

Blazing fast topic modelling for short texts.

Functions for Bayesian inference of vector autoregressive and vector error correction models

Matlab implementations of various multi-sensor labelled multi-Bernoulli filters