Audio Source Separation using the Non Negative Matrix Multiplication

Building a Collaborative Filtering based Recommender system using e-commerce data.

Semi-Supervise cellular deconvolution of Bulk RnaSeq using NMF and CiberSortx, DCQ or others

Detailed sentiment analysis (overall and aspect based sentiment analysis) on major Singapore attractions.

Unsupervised classification of products based on their text description (NLP) or image (computer vision)

Code and associated data relating to Kowalski, MacGregor, Long, Bell, and Cronin, "Automated Library Generation and Serendipity Quantification enables Diverse Discovery in Coordination Chemistry", JACS, 2022

A Project on Topic Modeling using alogoriths like LSA/LSI, LDA, NMF on RACE dataset

Codebase and Data for the work on Network diffusion-based approach for survival prediction and identification of biomarkers using multi-omics data of Papillary Renal Cell Carcinoma

Two Movie recommenders deployed on Flask app. The recommender are build on NMF and Cosine Similarity model, trained on MovieLens 100k, and automatically updated every 12 hour!

2023 NCKU Image Processing Homework Code

Pipeline de PLN do projeto "Mood Hound" (6º DSM - 2023, FATEC Profº Jessen Vidal - SJC)

Topic modeling on Shopee's 1-star reviews to uncover insights and prevalent topics within the reviews.

This repository classifies Goodreads Fantasy book reviews into subgenres using advanced topic modeling techniques like NMF, LDA, and BERTopic. A dataset of 2M English-language reviews is analyzed, with topics compared to predefined subgenres using cosine similarity. Heatmaps and summaries visualize the results.

Statistical machine learning techniques

Topic Modelling von Tagesschau-Nachrichtenmeldungen mit NMF

A movie recommendation website powered by an unsupervised learning non-negative matrix factorization algorithm. This project provides users with personalized movie recommendations based on their viewing history and preferences.

Repository of LS Insight, a program that used NMF and dependency analysis for augmented biblical exegesis.

Implementation of the Non-negative Multiple Matrix Factorization (NMMF) algorithm proposed in Takeuchi et al, 2013 with some modifications. There is a python native version NMMFlexPy and a R wrapper NMMFlexR