topic-modeling-lda

Fast, flexible and easy to use probabilistic modelling in Python.

scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics

Python package of Tomoto, the Topic Modeling Tool

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This project has two parts. In part one, we use markov random field to denoise an image. In Part two, we use similar model for image segmentation.

High-performance reactive message-passing based Bayesian inference engine

GraphMat graph analytics framework

A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.

Python implementation of EM algorithm for GMM. And visualization for 2D case.

Bayesian Methods for Machine Learning