OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

This repository provides Python implementations for Non-negative Matrix Factorization (NMF) using the Multiplicative Update (MU) algorithm. Two initialization methods are supported: random initialization and Non-negative Double Singular Value Decomposition (NNDSVD). NMF is a matrix factorization technique used in various fields, including topic mod

Non-negative Matrix Factorization (NMF) Tensorflow Implementation

Bayesian MCMC matrix factorization algorithm

Python PyTorch (GPU) and NumPy (CPU)-based port of Févotte and Dobigeon's robust-NMF algorithm appearing in "Nonlinear hyperspectral unmixing with robust nonnegative matrix factorization."

Codes and data coming with article "A Survey and an Extensive Evaluation of Popular Audio Declipping Methods", and others closely related

✨ Awesome - A curated list of amazing Topic Models (implementations, libraries, and resources)

Built a collaborative filtering and content-based recommendation/recommender system specific to H&M using the Surprise library and cosine similarity to generate similarity and distance-based recommendations.

FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing [NeurIPS 2024]

Python package for integrating and analyzing multiple single-cell datasets (A Python version of LIGER)

An algorithm for unsupervised discovery of sequential structure

Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the estimation of latent factors - rank) for accurate data modeling. Our software suite encompasses cutting-edge data pre-processing and post-processing modules.

New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB

Topic modeling streamlit app.

Python code for phase identification and spectrum analysis of energy dispersive x-ray spectroscopy (EDS)

PyTorch implementation of Robust Non-negative Tensor Factorization appearing in N. Dey, et al., "Robust Non-negative Tensor Factorization, Diffeomorphic Motion Correction and Functional Statistics to Understand Fixation in Fluorescence Microscopy".

Projects for ECE 475 - Freq. Machine Learning

A C++ framework of Distributed Non-Negative Matrix Factorization implementation to find Latent Dimensionality in Big Data

A blind source separation package using non-negative matrix factorization and non-negative ICA

Optimization and Regularization variants of Non-negative Matrix Factorization (NMF)