Project Name	Stars	Repos Using This	Packages Using This	Most Recent Commit	Total Releases	Latest Release	Open Issues	License	Language
Nagisa	365	1	7	3 months ago	22	July 30, 2023	4	mit	Python
A Japanese tokenizer based on recurrent neural networks
Neuronlp2	358			4 years ago			7	gpl-3.0	Python
Deep neural models for core NLP tasks (Pytorch version)
Hscrf Pytorch	261			6 years ago			4		Python
ACL 2018: Hybrid semi-Markov CRF for Neural Sequence Labeling (http://aclweb.org/anthology/P18-2038)
A Pytorch Tutorial To Sequence Labeling	202			4 years ago			7	mit	Python
Empower Sequence Labeling with Task-Aware Neural Language Model \| a PyTorch Tutorial to Sequence Labeling
Unf	63			4 years ago			1	apache-2.0	Python
UNF(Universal NLP Framework)
Crowdlayer	37			3 years ago				gpl-3.0	Jupyter Notebook
A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with different biases and levels of expertise.
Macadam	37			4 years ago	2	July 15, 2020		mit	Python
Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。
Datnet	18			3 years ago			3		Python
The implementation of Dual Adversarial Neural Transfer (DATNets) for Sequence Labeling, which is able to tackle sequence labeling tasks such as POS Tagging, NER, Chunking,etc..
Tf Lstm Crf Tagger	11			6 years ago				apache-2.0	Jupyter Notebook
TensorFlow Implementation For [Neural Architecture for Named Entity Recognition](https://arxiv.org/abs/1603.01360)
An Attentive Neural Model For Labeling Adverse Drug Reactions	9			4 years ago					Python
An Attentive Neural Sequence Labeling Model for Adverse Drug Reactions Mentions Extraction

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Nagisa ⭐ 365

A Japanese tokenizer based on recurrent neural networks

dependent packages 7total releases 22most recent commit 3 months ago

Neuronlp2 ⭐ 358

Deep neural models for core NLP tasks (Pytorch version)

most recent commit 4 years ago

Hscrf Pytorch ⭐ 261

ACL 2018: Hybrid semi-Markov CRF for Neural Sequence Labeling (http://aclweb.org/anthology/P18-2038)

most recent commit 6 years ago

A Pytorch Tutorial To Sequence Labeling ⭐ 202

Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling

most recent commit 4 years ago

Unf ⭐ 63

UNF(Universal NLP Framework)

most recent commit 4 years ago

Crowdlayer ⭐ 37

A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with different biases and levels of expertise.

most recent commit 3 years ago

Macadam ⭐ 37

Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCN 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Latti

total releases 2most recent commit 4 years ago

Datnet ⭐ 18

The implementation of Dual Adversarial Neural Transfer (DATNets) for Sequence Labeling, which is able to tackle sequence labeling tasks such as POS Tagging, NER, Chunking,etc..

most recent commit 3 years ago

Tf Lstm Crf Tagger ⭐ 11

TensorFlow Implementation For [Neural Architecture for Named Entity Recognition](https://arxiv.org/abs/1603.01360)

most recent commit 6 years ago

An Attentive Neural Model For Labeling Adverse Drug Reactions ⭐ 9

An Attentive Neural Sequence Labeling Model for Adverse Drug Reactions Mentions Extraction

most recent commit 4 years ago

Suggest An Alternative To An-Attentive-Neural-Model-for-labeling-Adverse-Drug-Reactions

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An Attentive Neural Model For Labeling Adverse Drug Reactions vs Unf

An Attentive Neural Model For Labeling Adverse Drug Reactions vs Crowdlayer

An Attentive Neural Model For Labeling Adverse Drug Reactions vs Macadam

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