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

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!

Towards Intra-Tumor Heterogeneity Deconvolution from Bulk RNA-seq data @BoevaLab

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

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

Audio Source Separation using the Non Negative Matrix Multiplication

2023 NCKU Image Processing Homework Code

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

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.

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

Topic Modelling von Tagesschau-Nachrichtenmeldungen mit NMF

Statistical machine learning techniques

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.

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

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