salar96/MEP-Orthogonal-NMF

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

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AldiPradana-KD/Automatic-Ticket-Classification

This project processes customer complaint data using pandas for data manipulation and applies text preprocessing techniques, including lemmatization, to clean and normalize complaint text. The `tqdm` library provides progress bars for efficient tracking of text processing tasks.

Size: 1.95 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Mr-TalhaIlyas/SegNext

SegNext Implementation in PyTorch

Language: Python - Size: 3.52 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 55 - Forks: 9

Animadversio/Neuronal_Feature_Attribution_Model

Feature Attribution methods for neurons and Evolution experiments

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gopireddy99/Topic_Modelling

Topic Modelling in NLP using Sample Amazon Reviews dataset

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benedekrozemberczki/BoostedFactorization

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

Language: Python - Size: 829 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 36 - Forks: 13

wecarsoniv/beta-divergence-metrics

PyTorch implementations of the beta divergence loss.

Language: Python - Size: 360 KB - Last synced at: about 14 hours ago - Pushed at: over 3 years ago - Stars: 10 - Forks: 0

GuitarsAI/NMF_Application_Example

NMF Decomposition of two iconic rock songs introductions.

Language: Jupyter Notebook - Size: 34.2 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0

crhisto/DecoFlex

DecoFlex deconvolution method for Omic data implemented as DecoFlexR

Language: R - Size: 8.81 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Surya97/MWDB-project

Multimedia and Web Databases Fall 2019 project

Language: Python - Size: 53.5 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 1

pierreablin/tlnmf

Transform Learning for NMF

Language: Python - Size: 2.06 MB - Last synced at: 11 days ago - Pushed at: over 6 years ago - Stars: 12 - Forks: 5

opsabarsec/NLP-automatic-tagging-stackoverflow-posts

AI - automatic assignment of tags to stackoverflow threads

Language: Jupyter Notebook - Size: 66.4 MB - Last synced at: over 1 year ago - Pushed at: over 4 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 at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 6 - Forks: 7

marcromani/cocktail

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

Language: Python - Size: 3.12 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 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

Language: Jupyter Notebook - Size: 19.2 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

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 at: about 2 years ago - Pushed at: about 2 years 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).

Language: Jupyter Notebook - Size: 6.3 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 0

fakufaku/separake

Echo aware source separation

Language: Jupyter Notebook - Size: 92.3 MB - Last synced at: 29 days ago - Pushed at: almost 7 years ago - Stars: 13 - Forks: 4

nicolasfguillaume/Recommender-Systems-Making-Movies-Recommendation

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

Language: Jupyter Notebook - Size: 229 KB - Last synced at: about 2 years ago - Pushed at: almost 9 years ago - Stars: 15 - Forks: 6

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 at: about 2 years ago - Pushed at: over 4 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 at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 6 - Forks: 4

casiopa/nomads_cluster_api

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

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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

Language: MATLAB - Size: 20.5 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 2

ourendingdays/Diploma

Bachelor Thesis: Classsification of Advertisements by means of Supervised Learning Methods

Language: Python - Size: 140 MB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

qianyuqiu79/DSANLS

distributed nonnegative matrix factorization methods

Language: C++ - Size: 59.6 KB - Last synced at: about 2 years ago - Pushed at: about 5 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.

Language: Jupyter Notebook - Size: 110 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 697 KB - Last synced at: almost 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

Jash271/Topic-Modeling

Segregating Quora Questions to 8 Categories

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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 at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0