OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
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Updated
Jun 6, 2024 - Python
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Non-negative Matrix Factorization (NMF) Tensorflow Implementation
Python PyTorch (GPU) and NumPy (CPU)-based port of Févotte and Dobigeon's robust-NMF algorithm appearing in "Nonlinear hyperspectral unmixing with robust nonnegative matrix factorization."
An algorithm for unsupervised discovery of sequential structure
New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB
Topic modeling streamlit app.
Optimization and Regularization variants of Non-negative Matrix Factorization (NMF)
A blind source separation package using non-negative matrix factorization and non-negative ICA
Projects for ECE 475 - Freq. Machine Learning
The project develops an application that suggests to the reader more similar articles to that he already read. It uses the embedding algorithms of headlines to create their own numerical representation, which allows to compute the similarity between headlines and get the most similar ones.
Non-Negative Matrix Factorization
Coupled clustering of single cell genomic data
Implementation of Bayesian Non-negative Matrix Factorization using Variational Inference with TensorFlow Probability
This project employs a non-negative matrix factorization model (NMF) to cluster the companies comprising the FTSE Russell 2000 Index into industry groups based upon the text used in their annual reports.
Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the estimation of latent factors - rank) for accurate data modeling. Our software suite encompasses cutting-edge data pre-processing and post-processing modules.
Non-negative matrix factorization is applied for classification of defects on steel surface using CNN
Metabolic pathway inference using non-negative matrix factorization with community detection
A generalizable collaborative filtering approach for recommending new procedures to patients and their caregivers.
A movie recommender pipeline hosted on a local flask server using non-negative matrix factorisation (NMF)
Simple NMF Algorithm in Python
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