GitHub / hoomanbing / Outlier-Detection-and-Removal-from-Multimedia
Detection and removal of specific types of outliers present in different data formats which includes detection and removal of contextual outliers from textual data using LOF, outliers from tabular numeric data using LOF, gaussian noise from image data using NLM.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hoomanbing%2FOutlier-Detection-and-Removal-from-Multimedia
PURL: pkg:github/hoomanbing/Outlier-Detection-and-Removal-from-Multimedia
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 9.87 MB
Dependencies parsed at: Pending
Created at: about 1 year ago
Updated at: 7 months ago
Pushed at: 7 months ago
Last synced at: 7 months ago
Topics: autoencoder, data-filtering, gaussian-filter, gaussian-noise, local-outlier-factor, median-filter, noise-reduction, non-local-means, outlier-detection, synthetic-data