Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)
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Updated
Feb 8, 2024 - R
Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)
🏖TagEditor - Annotation tool for spaCy
AWS bulk tagging tool
A command-line tool designed to tag your doujin voice library. Support mp3/m4a/flac.
An easy to use mpv script to annotate videos with tags while you watch.
A gtk linux application to handle audio tags 🎵
A darktable plugin that tries to predict keywords based on the selected image. This plugin uses photils-cli to handle this task. Photils-cli is an application that passes the image through a neural network, classifies it, and extracts the suggested tags. Everything happens offline without the need that your data are sent over the internet.
The ultimate open-source AI tagging tool for image galleries using metadata, or .txt files for AI training. Using newest wd-vit-tagger-v3 model by SmilingWolf
Copy current post tags and rating on boorus and illustration2vec in to the clipboard for easy import in to a program or another booru.
Light weight labeling engine
Simple Image Viewer with ability to tag images, search by tags, and mark regions for AI training
Saves requests from github.com/jetboom/boorutagparser as file/tag list pairs for extremely easy bulk import of tagged items in to Hydrus Network.
Tagasuarus, the gateway to your semantic multiverse "Tag your Planet!"
A small script to create Matroska tags based on data from NFO files
Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)
This is a repository to implement the Google Tag Manager server-side tag template for Pinterest Conversions API to be deployed into Google Community Template Gallery.
MIRROR of https://codeberg.org/catseye/tagfarm : An ultra-lightweight filesystem-based categorization system for arbitrary files
Code and data for EMNLP2021 paper: WIKIBIAS: Detecting Multi-Span Subjective Biases in Language
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