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Collection of probabilistic models and inference algorithms

A Latent Dirichlet Allocation implementation in Python.

Visualization of Gibbs sampling for 2D Gaussian distribution

Python implementation of Restricted Boltzmann Machine (RBM). And an example on MNIST dataset.

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

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

Bayesian Non-Parametric Image Segmentation using HDP-MRF

Coordinate Ascent Variational Inference for Dirichlet Process Mixtures of Gaussians