litus-ai/classy

classy is a simple-to-use library for building high-performance Machine Learning models in NLP.

37
/ 100
Emerging

This is a library for machine learning engineers and researchers who build high-performance natural language processing (NLP) models. It simplifies the process of training, evaluating, and deploying deep neural network models for text-based tasks. You provide your text data, and it outputs a trained model ready for tasks like predicting labels from sentences or sentence pairs.

Use this if you need a streamlined, PyTorch-based framework to rapidly prototype and deploy deep learning models for various NLP tasks.

Not ideal if you are looking for a no-code solution or a general-purpose machine learning library not specifically focused on deep learning for NLP.

natural-language-processing deep-learning text-classification model-training model-deployment
No Package No Dependents
Maintenance 6 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 6 / 25

How are scores calculated?

Stars

87

Forks

3

Language

Python

License

Apache-2.0

Last pushed

Jan 05, 2026

Commits (30d)

0

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