GuitarsAI/NMF_Application_Example

NMF Decomposition of two iconic rock songs introductions.

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Mr-TalhaIlyas/SegNext

SegNext Implementation in PyTorch

Language: Python - Size: 3.52 MB - Last synced: 24 days ago - Pushed: 7 months ago - Stars: 37 - Forks: 6

Jash271/Topic-Modeling

Segregating Quora Questions to 8 Categories

Language: Jupyter Notebook - Size: 151 KB - Last synced: about 1 month ago - Pushed: almost 4 years ago - Stars: 0 - Forks: 0

wecarsoniv/beta-divergence-metrics

PyTorch implementations of the beta divergence loss.

Language: Python - Size: 360 KB - Last synced: 4 days ago - Pushed: over 2 years ago - Stars: 9 - Forks: 0

crhisto/DecoFlex

DecoFlex deconvolution method for Omic data implemented as DecoFlexR

Language: R - Size: 8.81 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

salar96/MEP-Orthogonal-NMF

Clustering and resource allocation using Deterministic Annealing Approach and Orthogonal Non-negative Matrix Factorization O-(NMF)

Language: Python - Size: 200 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 6 - Forks: 2

Surya97/MWDB-project

Multimedia and Web Databases Fall 2019 project

Language: Python - Size: 53.5 MB - Last synced: 4 months ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 1

opsabarsec/NLP-automatic-tagging-stackoverflow-posts

AI - automatic assignment of tags to stackoverflow threads

Language: Jupyter Notebook - Size: 66.4 MB - Last synced: 4 months ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0

csbbcompbio/CSBB-v3.0

CSBB - Computational Suite For Bioinformaticians and Biologists

Language: Perl - Size: 4.7 MB - Last synced: 7 months ago - Pushed: almost 6 years ago - Stars: 6 - Forks: 7

benedekrozemberczki/BoostedFactorization

An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).

Language: Python - Size: 829 KB - Last synced: 15 days ago - Pushed: over 1 year ago - Stars: 33 - Forks: 13

Animadversio/Neuronal_Feature_Attribution_Model

Feature Attribution methods for neurons and Evolution experiments

Language: Python - Size: 533 KB - Last synced: 12 months ago - Pushed: 12 months ago - Stars: 0 - Forks: 0

marcromani/cocktail

A blind source separation package using non-negative matrix factorization and non-negative ICA

Language: Python - Size: 3.12 MB - Last synced: 11 months ago - Pushed: almost 3 years ago - Stars: 13 - Forks: 3

pareshg18/Topic-Modelling-Amazon-Fine-Food-Reviews

Summarizing amazon fine food reviews and finding relevant topics through NLP based models

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npcrites/MATH189-HPC-NMF Fork of jlucassen/MATH189-HPC-NMF

MATH189 final project, trying to do non-negative matrix factorization in parallel

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Varun-N-M/Songs-recommendation_using_NMF

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.

Language: Python - Size: 3.87 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0

Abhishek0697/Acoustic-classification-and-localisation-of-sound-sources-for-autonomous-vehicles-using-ML

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).

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fakufaku/separake

Echo aware source separation

Language: Jupyter Notebook - Size: 92.3 MB - Last synced: about 1 year ago - Pushed: almost 6 years ago - Stars: 13 - Forks: 4

pierreablin/tlnmf

Transform Learning for NMF

Language: Python - Size: 2.06 MB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 12 - Forks: 5

nicolasfguillaume/Recommender-Systems-Making-Movies-Recommendation

Making movies recommendation using a Collaborative Filtering Algorithm on the famous MovieLens dataset.

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bghojogh/Prototype-Selection-Matrix-Decomposition

The code for prototype selection and instance ranking using matrix decomposition and subspace learning

Language: Python - Size: 23.4 KB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0

mmahesh/cocain-bpg-matrix-factorization

New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB

Language: Python - Size: 4.59 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 6 - Forks: 4

casiopa/nomads_cluster_api

Digitals&Nomads: puesta en producción de un modelo de Clustering con Flask en Heroku.

Language: Jupyter Notebook - Size: 1000 KB - Last synced: 11 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 1

dashnak90/Movie_recommender

Movie-Recommender system using Non-negative matrix factorization (NMF) and Neighborhood-Based Collaborative Filtering methods.

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singularity4/NonlinearOrthogonalNMF

A Nonlinear Orthogonal Non-Negative Matrix Factorization Approach to Subspace Clustering

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qianyuqiu79/DSANLS

distributed nonnegative matrix factorization methods

Language: C++ - Size: 59.6 KB - Last synced: about 1 year ago - Pushed: about 4 years ago - Stars: 15 - Forks: 1

vincent-thompson/nature_article_recommender

Content-based recommender system for scientific research articles, with Dash application for browsing 100+ subdomains developed through extensive NMF topic modeling.

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anant1203/Calcium-Imaging-Neuron-Segmentation-Code-Neuro-Finder-Challenge- Fork of dsp-uga/team-coombs

Extracted regions of interest that correspond to individual neurons from time-varying images using image features extraction techniques like Non-Negative Matrix Factorization and deep learning segmentation model Unet. Using PySpark, Thunder, Keras.

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bhparijat/topic-modelling

A comparison of LDA and NMF on ABC new headlines dataset

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florianmorath/Computational-Intelligence-Lab

Computational Intelligence Lab project at ETH Zurich.

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junyuchen245/Nonnegative_Matrix_Factorization_with_KLD_MATLAB

Language: MATLAB - Size: 200 KB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 0 - Forks: 0