Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends

Collection of EM algorithms for blind source separation of audio signals

A pytorch package for non-negative matrix factorization.

[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation

This repository is for sharing the scripts of EM algorithm and variational bayes.

Implementation of Unsupervised Naive Bayes with EM Algorithm

A Unified RNA Sequencing Model (URSM) for joint analysis of single cell and bulk RNA-seq data.

PySATL module providing tools for working with mixtures of distributions. In particular, it allows you to evaluate their parameters.

Applied Machine Learning

An interactive toolkit for visualizing GMM convergence in 3D/2D, featuring PCA for dimensionality reduction, K-means++ initialization, and covariance regularization for stability.

Python implementation of N-gram Models, Log linear and Neural Linear Models, Back-propagation and Self-Attention, HMM, PCFG, CRF, EM, VAE

Partially Hidden Markov Chain Linear AutoRegressive model

This repository contains implementation of Neural Network,k-Means and Gaussian Mixture Models with Python

Various machine learning projects using public datasets

Implementation "learn intrinsic parameter" pseudocode in Probabilistic robotics (Chapter 6.3.2)

This is the IR course of NTUST in 2017. IR means that Information Retrieval and Its Applications, including Vector Model, word2Vec technology and so on.

Use Gibbs sampling and variational inference to denoise the image and use EM to segment the image

Generative model for semi-supervised learning