An exercise on the use of NMF for Blind Signal Separation
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Updated
Nov 8, 2021 - Jupyter Notebook
An exercise on the use of NMF for Blind Signal Separation
This repo contains most of the work I have done during my summer internship 2018 at FAIS, HGC, University of Tokyo.
A movie recommender pipeline hosted on a local flask server using non-negative matrix factorisation (NMF)
Identify topics for news articles using Non-Negative Matrix Factorization
Unsupervised Machine Learning on attacking footballers in Europe’s top 5 leagues (24/25), featuring K-Means Clustering, Anomaly Detection, and an NMF-based similarity recommendation system.
Projet de NLTP comparant des approches supervisées et non supervisées dans le cadre de la formation d'ingénieur machine Learning dispensé par Openclassrooms
Bachelor Thesis work developed in 2025 at University of Bologna. See Readme for more information on the project.
archR: Identifying promoter sequence architectures de novo using NMF
Sklearn, PCA, t-SNE, Isomap, NMF, Random Projection, Spectral Embedding
🔢 Teoria e aplicações da fatoração de matrizes positivas (NMF)
A cutting-edge, modular framework for classifying tweets into mental health categories using advanced Natural Language Processing (NLP) and Machine Learning (ML) techniques.
analyzing and detecting hot topics in blog data using various natural language processing and topic modeling techniques
The Video Chaptering Tool that extracts YouTube transcripts, applies NLP with TF-IDF, NMF, and LDA to identify key topics, and generates meaningful video chapters. It saves results in CSV and visualizes topic distributions, making long-form content easier to navigate, summarize, and analyze effectively.
A webapp for recommending movies based on two models: collaborative filtering with non-negative matrix factorisation and k-nearest neighbours algorithm.
Mapping single-cell transcriptomes in the intratumoral and associated territories of kidney cancer文章代码 空间转录组与侵袭前沿;NMF;Nichnet;cell2loaction;inferCNV,聚类树,OR检验
Using natural language processing NLP to do sentiment analysis on Yelp reviews.
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