Using Non-negative Matrix Factorization (NMF) and Variational Autoencoder (VAE) machine learning architectures to analyze spatial and spectral features of hyperspectral cathodoluminescence (CL) spectroscopy images taken from hybrid inorganic-organic perovskite material

This repository contains the entire code for the .NET Modeling Framework

R package implementing Bayesian NMF using various models and prior structures.

Identify topics for news articles using Non-Negative Matrix Factorization

中文文本生成（NLG）之文本摘要（text summarization）工具包, 语料数据(corpus data), 抽取式摘要 Extractive text summary of Lead3、keyword、textrank、text teaser、word significance、LDA、LSI、NMF。（graph，feature，topic model，summarize tool or tookit）

A software framework for small satellites based on CCSDS MO services

🌲 An easy-to-use and scalable toolkit for genomic alteration signature (a.k.a. mutational signature) analysis and visualization in R https://shixiangwang.github.io/sigminer/reference/index.html

Linear regression, retraining models, regularization, SVC, RandomForest, K-means, PCA, Recommender systems, Neural Network, Keras

An R package for studying mutational signatures and structural variant signatures along clonal evolution in cancer.

hyperspectral galaxy modeling and deblending

Unlock the depths of Wikipedia with WikiBot. It delivers concise summaries and suggests related articles to fuel your curiosity and guide your exploration.

A fast and versatile implementation of spike-triggered non-negative matrix factorization (STNMF) based on accelerated/fast HALS algorithms

R package to extract muscle synergies from electromyogram

libnmfd: Music Processing Applications of Nonnegative Matrix Factorization

Rcpp Machine Learning: Fast robust NMF, divisive clustering, and more

seqArchR: Identifying (promoter) sequence architectures de novo using NMF

A study of a recommendation system for movies used as a first step in ML Flow

libfmp - Python package for teaching and learning Fundamentals of Music Processing (FMP)