DecoFlex deconvolution method for Omic data implemented as DecoFlexR
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Updated
Mar 6, 2024 - R
DecoFlex deconvolution method for Omic data implemented as DecoFlexR
Clustering and resource allocation using Deterministic Annealing Approach and Orthogonal Non-negative Matrix Factorization O-(NMF)
SegNext Implementation in PyTorch
Big_Data_Analisis_Clustering_Tweets
Feature Attribution methods for neurons and Evolution experiments
MATH189 final project, trying to do non-negative matrix factorization in parallel
This is a machine learning project that aims to recommend songs to users based on their listening history and rating. Non-negative Matrix Factorization (NMF) is used for song recommendation.
An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
Multimedia and Web Databases Fall 2019 project
New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB
Different supervised and unsupervised learning algorithms (including RNN deep learning network) together with NLP transformers are used to do text-author classification from Gutenberg project.
Automatic classification of tickets / complaints in the financial / banking sector.
This is the 4th project for the Data Science T5 Bootcamp. It is called "Sentiment Analysis of the Yelp Reviews" Using NLP and Topic Modelling.
Personal GitHub to host and shares my academic mini-projects related to my master degree.
PyTorch implementations of the beta divergence loss.
Digitals&Nomads: puesta en producción de un modelo de Clustering con Flask en Heroku.
Code for project HTML / Jquery / javascript / python. The url is below.
Movie-Recommender system using Non-negative matrix factorization (NMF) and Neighborhood-Based Collaborative Filtering methods.
A short data analysis project of AirBnB listings in Berlin. Aspects of the analysis include data wrangling, exploratory analysis of the price, location, property, user reviews data and basic topic extraction using user reviews.
A blind source separation package using non-negative matrix factorization and non-negative ICA
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