em-algorithm topic
Machine-Learning-Models
Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaus...
pb_bss
Collection of EM algorithms for blind source separation of audio signals
splink
Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends
pytorch-NMF
A pytorch package for non-negative matrix factorization.
seqHMM
Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences
tsa4
R code for Time Series Analysis and Its Applications, Ed 4
astsa
R package to accompany Time Series Analysis and Its Applications: With R Examples -and- Time Series: A Data Analysis Approach Using R
machine-learning
Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Ma...
Coursera-UW-Machine-Learning-Clustering-Retrieval