Topic: "nmf-matrix-factorization"
kalidouBA/DICEPRO
Semi-Supervise cellular deconvolution of Bulk RnaSeq using NMF and CiberSortx, DCQ or others
Language: R - Size: 42.2 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

myeonghak/Recsys_MF_example
Building a Collaborative Filtering based Recommender system using e-commerce data.
Language: Jupyter Notebook - Size: 7.4 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

eso28599/resNMTF_paper
Code to recreate results from the "Multi-view biclustering via non-negative matrix tri-factorisation" paper.
Language: HTML - Size: 62.8 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 0

riccardoserraino/Synergy-extraction-from-filtered-EMG-dataset-with-NMF-models
Experimental approach for sEMG signal analysis and synergies extraction for robotic hand gestures, based and analysis evaluation and terminal input decisions..
Language: Python - Size: 6.84 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

yChaaby/Topic-Modeling-with-NMF
This project demonstrates the application of Non-Negative Matrix Factorization (NMF) for topic modeling on a dataset of abstracts
Language: Jupyter Notebook - Size: 5.97 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

arnabberawork/Automatic-Ticket-Classification
M.S. and EPGP Assignment - Machine learning model using NLP topic modeling to automatically classify customer complaints based on products and services for improved customer service in the financial industry.
Language: Jupyter Notebook - Size: 242 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

rose-deasha/Topic-Modeling-and-Sentiment-Analysis
Survey Insights Engine
Language: Jupyter Notebook - Size: 1.68 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

avr2002/Topic-Modelling-Using-RACE-Dataset
A Project on Topic Modeling using alogoriths like LSA/LSI, LDA, NMF on RACE dataset
Language: Jupyter Notebook - Size: 335 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

EricPaul075/OCP6-Consumer-goods-automatic-classification-with-NLP-and-CNN
Unsupervised classification of products based on their text description (NLP) or image (computer vision)
Language: Jupyter Notebook - Size: 3.02 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

AugusteLef/Towards-intra-tumor-heterogeneity-deconvolution-from-bulk-RNA-seq-data
Towards Intra-Tumor Heterogeneity Deconvolution from Bulk RNA-seq data @BoevaLab
Size: 4.08 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

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: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

AnkurKumarShukla/audio-separation-nmf
Non-Negative Matrix Factorization (NMF) is a powerful technique used in audio processing for separating mixed audio sources into their constituent parts
Language: Python - Size: 1.8 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 1

petroritse1/NMF_model
This project aims to identify key topics in Quora questions related to popular applications. We'll use Non-Negative Matrix Factorization (NMF) to extract meaningful themes and patterns from this data.
Language: Python - Size: 12.8 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

VtrMirwald/ImagensHiperespectrais
Repositório do grupo de trabalho sobre Imagens Hiperespectrais para a disciplina: 4305512 - Aprendizado de máquina e inteligência artificial em física (2024)
Language: Jupyter Notebook - Size: 6.91 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

crhisto/NMMFlex
Implementation of the Non-negative Multiple Matrix Factorization (NMMF) algorithm proposed in Takeuchi et al, 2013 with some modifications. There is a python native version NMMFlexPy and a R wrapper NMMFlexR
Language: Python - Size: 53.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

kliftun/LS_Insight
Repository of LS Insight, a program that used NMF and dependency analysis for augmented biblical exegesis.
Language: HTML - Size: 591 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Rlvtick/Topic-Modeling-Shopee-Reviews
Topic modeling on Shopee's 1-star reviews to uncover insights and prevalent topics within the reviews.
Language: Jupyter Notebook - Size: 4.63 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

RuwaidaAl/STAT4051
Statistical machine learning techniques
Size: 3.12 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

gustavzudemm/Tagessschau-Nachrichten---Topic-Modelling
Topic Modelling von Tagesschau-Nachrichtenmeldungen mit NMF
Language: Jupyter Notebook - Size: 1.88 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Joal84/movie-recommender
A movie recommendation website powered by an unsupervised learning non-negative matrix factorization algorithm. This project provides users with personalized movie recommendations based on their viewing history and preferences.
Language: HTML - Size: 1.91 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

abhijit12banerjee/Automatic_Ticket_Classification_Using_NLP
Create a model that can automatically classify customer complaints based on the products and services that the ticket mentions.
Language: Jupyter Notebook - Size: 13.5 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

ZahraBenslimane/SoundSourceSeparation_usingNMF
Audio Source Separation using the Non Negative Matrix Multiplication
Language: Jupyter Notebook - Size: 3.75 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

croningp/DigitalCoordinationChemistry
Code and associated data relating to Kowalski, MacGregor, Long, Bell, and Cronin, "Automated Library Generation and Serendipity Quantification enables Diverse Discovery in Coordination Chemistry", JACS, 2022
Language: Jupyter Notebook - Size: 108 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Cancer-Research-Project/NBS-KIRP-CNV
Codebase and Data for the work on Network diffusion-based approach for survival prediction and identification of biomarkers using multi-omics data of Papillary Renal Cell Carcinoma
Language: Jupyter Notebook - Size: 124 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
