Minimalistic CLI labeling tool for text classification
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Updated
Jun 29, 2024 - Python
Minimalistic CLI labeling tool for text classification
Large-Scale text analysis using generative language models: A case study in discovering public value expressions in AI patents. Code and data.
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
🚤 Label data at scale. Fun and precision included.
Label data using HuggingFace's transformers and automatically get a prediction service
A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI )
Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.
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.
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