NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
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Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)
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Attention-Based-BiLSTM-relation-extractionby SeoSangwoo
Python 
346
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Tensorflow Implementation of "Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification" (ACL 2016)
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fast-elasticsearch-vector-scoringby lior-k
Java 
345
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Score documents using embedding-vectors dot-product or cosine-similarity with ES Lucene engine
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SPLADE: sparse neural search (SIGIR21, SIGIR22)
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Assorted code ideas, unofficial MP FAQ, plus index to my other repositories.
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c
capsule_text_classificationby andyweizhao
Python 
338
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Natural Language Toolkit for bahasa Malaysia, https://malaya.readthedocs.io/
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multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
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A Model for Natural Language Attack on Text Classification and Inference
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This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille).
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Prune a model while finetuning or training.
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spaCy plugin for Transformers , Udify, ELmo, etc.
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MMSA is a unified framework for Multimodal Sentiment Analysis.
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Snips NLU rust implementation
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Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.
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A easy HMM program written with Python, including the full codes of training, prediction and decoding.
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Simple downloader for pre-trained word vectors
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Pytorch implementation of LSTM/BERT-CRF for named entity recognition
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✔️Contextual word checker for better suggestions
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Implementation of Transformer Model in Tensorflow
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PyTorch code for SpERT: Span-based Entity and Relation Transformer
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simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.
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超轻量级bert的pytorch版本,大量中文注释,容易修改结构,持续更新
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A Abstractive Summarization Implementation with Transformer and Pointer-generator
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State-of-the-art natural language processing for Ruby
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Python 
311
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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
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online natural language processing with word vectors
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Pytorch implementation of R-BERT: "Enriching Pre-trained Language Model with Entity Information for Relation Classification"
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Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)
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Language model fine-tuning on NER with an easy interface and cross-domain evaluation. "T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition, EACL 2021"
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T
Transformers_for_Text_Classificationby zhanlaoban
Python 
302
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基于Transformers的文本分类
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Neural network toolkit for sentence pair modeling.
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Sentence2vec as described in A SIMPLE BUT TOUGH TO BEAT BASELINE FOR SENTENCE EMBEDDINGS by Sanjeev Arora, Yingyu Liang, Tengyu Ma
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CUAD (NeurIPS 2021)
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A powerful dataset generator for Rasa NLU, inspired by Chatito
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text_data_enhancement_with_LaserTaggerby tongchangD
Python 
298
Version:Current
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Modify Chinese text, modified on LaserTagger Model. 文本复述,基于lasertagger做中文文本数据增强。
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using bilstm-crf,bert and other methods to do sequence tagging task
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Named Entity Recognition
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Repository for Project Insight: NLP as a Service
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Recent Deep Learning papers in NLU and RL
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Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.
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An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)
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all kinds of baseline models for sentence similarity 句子对语义相似度模型
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BERT distillation(基于BERT的蒸馏实验 )
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Implementation of the ESIM model for natural language inference with PyTorch
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Code for the ACL2021 paper "Lexicon Enhanced Chinese Sequence Labelling Using BERT Adapter"
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结合BERT+GRU+ATT模型,对自己收集的人物关系数据进行模型训练,用于人物关系抽取。
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NNDIALby shawnwun
NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
Python
347
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v
vectorhubby vector-ai
Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)
Python
347
Updated: 4 y ago
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A
Attention-Based-BiLSTM-relation-extractionby SeoSangwoo
Tensorflow Implementation of "Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification" (ACL 2016)
Python
346
Updated: 4 y ago
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f
fast-elasticsearch-vector-scoringby lior-k
Score documents using embedding-vectors dot-product or cosine-similarity with ES Lucene engine
Java
345
Updated: 3 y ago
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s
spladeby naver
SPLADE: sparse neural search (SIGIR21, SIGIR22)
Python
345
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micropython-samplesby peterhinch
Assorted code ideas, unofficial MP FAQ, plus index to my other repositories.
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339
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c
capsule_text_classificationby andyweizhao
Python
338
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malayaby huseinzol05
Natural Language Toolkit for bahasa Malaysia, https://malaya.readthedocs.io/
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338
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multi-task-NLPby hellohaptik
multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
Python
336
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TextFoolerby jind11
A Model for Natural Language Attack on Text Classification and Inference
Python
335
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T
TransFGby TACJu
This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille).
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334
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nn_pruningby huggingface
Prune a model while finetuning or training.
Jupyter Notebook
333
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c
camphrby PKSHATechnology-Research
spaCy plugin for Transformers , Udify, ELmo, etc.
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332
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MMSAby thuiar
MMSA is a unified framework for Multimodal Sentiment Analysis.
Python
330
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s
snips-nlu-rsby snipsco
Snips NLU rust implementation
Rust
327
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SentimentAnalysisby barissayil
Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.
Python
325
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Easy_HMMby tostq
A easy HMM program written with Python, including the full codes of training, prediction and decoding.
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324
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c
chakinby chakki-works
Simple downloader for pre-trained word vectors
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322
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pytorch_neural_crfby allanj
Pytorch implementation of LSTM/BERT-CRF for named entity recognition
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322
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contextualSpellCheckby R1j1t
✔️Contextual word checker for better suggestions
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321
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bert-nmtby bert-nmt
Python
320
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transformer-tensorflowby lilianweng
Implementation of Transformer Model in Tensorflow
Python
319
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spertby markus-eberts
PyTorch code for SpERT: Span-based Entity and Relation Transformer
Python
317
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simpleT5by Shivanandroy
simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.
Python
317
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bert4pytorchby MuQiuJun-AI
超轻量级bert的pytorch版本,大量中文注释,容易修改结构,持续更新
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317
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transformer-pointer-generatorby xiongma
A Abstractive Summarization Implementation with Transformer and Pointer-generator
Python
316
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informersby ankane
State-of-the-art natural language processing for Ruby
Ruby
312
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slot_filling_and_intent_detection_of_SLUby sz128
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
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311
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words2mapby legel
online natural language processing with word vectors
Python
310
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R
R-BERTby monologg
Pytorch implementation of R-BERT: "Enriching Pre-trained Language Model with Entity Information for Relation Classification"
Python
309
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electra_pytorchby richarddwang
Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)
Python
309
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tnerby asahi417
Language model fine-tuning on NER with an easy interface and cross-domain evaluation. "T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition, EACL 2021"
Python
304
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Transformers_for_Text_Classificationby zhanlaoban
基于Transformers的文本分类
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302
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SPM_toolkitby lanwuwei
Neural network toolkit for sentence pair modeling.
Python
302
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s
sentence2vecby peter3125
Sentence2vec as described in A SIMPLE BUT TOUGH TO BEAT BASELINE FOR SENTENCE EMBEDDINGS by Sanjeev Arora, Yingyu Liang, Tengyu Ma
Python
301
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cuadby TheAtticusProject
CUAD (NeurIPS 2021)
Python
301
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C
Chatetteby SimGus
A powerful dataset generator for Rasa NLU, inspired by Chatito
Python
299
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t
text_data_enhancement_with_LaserTaggerby tongchangD
Modify Chinese text, modified on LaserTagger Model. 文本复述,基于lasertagger做中文文本数据增强。
Python
298
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sequence_taggingby qiufengyuyi
using bilstm-crf,bert and other methods to do sequence tagging task
Python
293
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insightby abhimishra91
Repository for Project Insight: NLP as a Service
Python
290
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deep-learning-nlp-rl-papersby madrugado
Recent Deep Learning papers in NLU and RL
Python
288
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vectoraiby vector-ai
Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.
Python
288
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OpenHINEby BUPT-GAMMA
An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)
Python
287
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nlu_simby brightmart
all kinds of baseline models for sentence similarity 句子对语义相似度模型
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287
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nl2sql_baselineby ZhuiyiTechnology
Python
286
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bert_distillby qiangsiwei
BERT distillation(基于BERT的蒸馏实验 )
Python
286
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E
ESIMby coetaur0
Implementation of the ESIM model for natural language inference with PyTorch
Python
286
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LEBERTby liuwei1206
Code for the ACL2021 paper "Lexicon Enhanced Chinese Sequence Labelling Using BERT Adapter"
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286
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p
people_relation_extractby percent4
结合BERT+GRU+ATT模型,对自己收集的人物关系数据进行模型训练,用于人物关系抽取。
Python
284
Updated: 2 y ago
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