JohnSnowLabs/spark-nlp

💫 Industrial-strength Natural Language Processing (NLP) in Python

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

NLTK Source

CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

TensorFlow code and pre-trained models for BERT

Easy-to-use and powerful LLM and SLM library with awesome model zoo.

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.