stripnet VS datalabel

Compare stripnet vs datalabel and see what are their differences.

stripnet

STriP Net: Semantic Similarity of Scientific Papers (S3P) Network (by stephenleo)
NLP semantic-similarity topic-modeling network-analysis Research scientific-publications Natural Language Processing Data Science
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datalabel

datalabel is a UI-based data editing tool that makes it easy to create labeled text data in a dataframe. With datalabel, you can quickly and effortlessly edit your data without having to write any code. Its intuitive interface makes it ideal for both experienced data professionals and those new to data editing. (by CoreLabsAI)
Annotation annotation-tool data-labeling data-labeling-tools Data Science Datasets Deep Learning label-studio Labeling labeling-tool Natural Language Processing NLP text-annotation Training ui-label label-ui
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stripnet datalabel
1 1
85 2
- -
0.0 10.0
almost 2 years ago about 1 year ago
HTML HTML
Apache License 2.0 -
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

stripnet

Posts with mentions or reviews of stripnet. We have used some of these posts to build our list of alternatives and similar projects.

datalabel

Posts with mentions or reviews of datalabel. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing stripnet and datalabel you can also consider the following projects:

feed-visualizer - Feed Visualizer creates interactive visualizations by clustering RSS/Atom feed items based on semantic similarity. Feed Visualizer also attempts to automatically predict the labels for each cluster. This application will create a "semantic summary" of a website's contents by scanning its RSS/Atom feed, allowing for easy discovery and navigation to topics of interest. Feed Visualizer creates interactive visualizations in the form of static HTML and JS files, which may be edited and sent to a server.

recogito-js - A JavaScript library for text annotation

sa-uta11-results - 📈 [CHI 2023] Results of the statistical analysis applied to the UTA11 guide.

markup - A web-based document annotation tool, powered by GPT-4 :rocket:

gensim - Topic Modelling for Humans

awesome-data-labeling - A curated list of awesome data labeling tools

Amber-Heard_Disinformation_Operations_Bots - Amber Heard Social Network Analysis of Disinformation/Influence Operations, Bots, & Crime Across-Platforms. - Twitter, Reddit, YouTube, Instagram, Change.org, Facebook, Tumblr, TikTok. To create Foundations to Help victims of bots, cyberabuse, domestic abuse, coercive control, crime, & disinformation operations. We want to Save Lives & help partners create systems to help online - including specialized and accurate rescue, quality custom, data analysis, social network analysis, forensics, research, and public safety technologies - with focus on the victim primarily & her environment.

Universal Data Tool - Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

doccano - Open source annotation tool for machine learning practitioners.

refinery - The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format

stripnet vs feed-visualizer datalabel vs recogito-js stripnet vs sa-uta11-results datalabel vs markup stripnet vs gensim datalabel vs awesome-data-labeling stripnet vs Amber-Heard_Disinformation_Operations_Bots datalabel vs Universal Data Tool datalabel vs doccano datalabel vs refinery datalabel vs label-studio