explosion/spaCy
๐ซ Industrial-strength Natural Language Processing (NLP) in Python
Zero and Few shot named entity & relationships recognition
$ git clone https://github.com/IBM/zshot.git๐ซ Industrial-strength Natural Language Processing (NLP) in Python
This package features data-science related tasks for developing new recognizers for Presidio. It is used for the evaluation of the entire system, as well as for evaluating specific PII recognizers or PII detection models.
CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.
AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.
Data from GitHub ยท snapshot Sep 24, 2026