Popular GitHub Repositories for Nmf Synchronizations

Real-time GCC-NMF Blind Speech Separation and Enhancement

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

Sentiment Analysis & Topic Modeling with Amazon Reviews

We created a topic modeling pipeline to evaluate different topic modeling algorithms, including their performance on short and long text, preprocessed and not preprocessed datasets, and with different embedding models. Finally, we summarized the results and suggested how to choose algorithms based on the task.

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

distributed nonnegative matrix factorization methods

Face Recognition with SVM classifier using PCA, ICA, NMF, LDA reduced face vectors

Multi-Modal Multi-Task Remote Physiological Sensing

My experiment of multilayer NMF, a deep neural network in which the first several layers take Semi-NMF as its pseudo-activation-function that finds the latent sturcture embedding in the original data unsupervisely.

tutorial about caffe, scrapy, voctools, theano-NMF, multimodal

Audio-based perception for autonomous cars is very important for discerning and comprehending the environment, as it can complement existing vision-based perception and pave the way for multimodal operation. However, these sensors have not yet been fully established in modern autonomous vehicles, robbing the system of context when needing to make important driving decisions. Our project seeks to take steps towards tackling this by applying machine learning techniques to help separate, classify and localise sounds of objects in a car’s vicinity. With these two capabilities, a car is more well-informed of its surroundings and can act accordingly (such as responding and making way for police cars, ambulances and fire trucks).

Hankel Singular Value Decomposition, Hankel Non-negative Matrix Factorization

apply LDA, NMF, K-means, Word2Vec to Boston's Dataset(complaints about traffic conditions)

Nonnegative matrix factorization with DAG constraints. A probabilistic formulation, variational learning.

This is REST-API for Indonesian Text Summarization using Non-Negative Matrix Factorization for the algorithm to summarize documents and FastAPI for the framework.

Synthetic Data Generation by Non-negative Matrix Factorization (NMF)