Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Flair | 13,529 | 24 | 69 | 3 months ago | 31 | October 28, 2023 | 65 | other | Python | |
A very simple framework for state-of-the-art Natural Language Processing (NLP) | ||||||||||
Kashgari | 2,141 | 1 | 1 | 3 years ago | 11 | October 18, 2019 | 32 | apache-2.0 | Python | |
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. | ||||||||||
Ncrfpp | 1,862 | 2 years ago | 1 | March 16, 2022 | 5 | apache-2.0 | Python | |||
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. | ||||||||||
Anago | 1,428 | 5 | 1 | 2 years ago | 14 | July 17, 2018 | 43 | mit | Python | |
Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on. | ||||||||||
Cluener2020 | 1,416 | 2 years ago | 48 | Python | ||||||
CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition | ||||||||||
Named_entity_recognition | 1,118 | 3 years ago | 27 | Python | ||||||
中文命名实体识别(包括多种模型:HMM,CRF,BiLSTM,BiLSTM+CRF的具体实现) | ||||||||||
Seqeval | 866 | 42 | 165 | 2 years ago | 24 | October 24, 2020 | 23 | mit | Python | |
A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...) | ||||||||||
Neuronlp2 | 358 | 4 years ago | 7 | gpl-3.0 | Python | |||||
Deep neural models for core NLP tasks (Pytorch version) | ||||||||||
Adaseq | 295 | 7 months ago | 11 | November 15, 2023 | 19 | apache-2.0 | Python | |||
AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models | ||||||||||
Slot_filling_and_intent_detection_of_slu | 289 | 3 years ago | apache-2.0 | Python | ||||||
slot filling, intent detection, joint training, ATIS & SNIPS datasets, the Facebook’s multilingual dataset, MIT corpus, E-commerce Shopping Assistant (ECSA) dataset, CoNLL2003 NER, ELMo, BERT, XLNet |