There are 2 repositories under text-labeling topic.
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
✨ Rubrix, open-source framework for data-centric NLP. Data annotation and monitoring for enterprise NLP
A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)
Data labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package
Simplest and fastest image and text annotation tool.
Label data using HuggingFace's transformers and automatically get a prediction service
Alternate Implementation for Zero Shot Text Classification: Instead of reframing NLI/XNLI, this reframes the text backbone of CLIP models to do ZSC. Hence, can be lightweight + supports more languages without trading-off accuracy. (Super simple, a 10th-grader could totally write this but since no 10th-grader did, I did) - Prithivi Da
Cross-platform GUI to label documents
🚀SpAnnor annotator for Named Entity Recognition easy to use tool. The annotator allows users to quickly assign custom labels to one or more entities in the text. Easy to setup for Data Training for SpaCy 🔥.