NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
$ git clone https://github.com/jiesutd/NCRFpp.gitTutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
keras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS
💫 Industrial-strength Natural Language Processing (NLP) in Python
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Named Entity Recognition using multilayered bidirectional LSTM
AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models
Data from GitHub · snapshot Sep 24, 2026