AD: a repository for graph convolutional networks at https://github.com/Jiakui/awesome-gcn (resources for graph convolutional networks (图卷积神经网络相关资源)).
codertimo/BERT-pytorch, Google AI 2018 BERT pytorch implementation,
huggingface/pytorch-pretrained-BERT, A PyTorch implementation of Google AI's BERT model with script to load Google's pre-trained models,
dmlc/gluon-nlp, Gluon + MXNet implementation that reproduces BERT pretraining and finetuning on GLUE benchmark, SQuAD, etc,
dbiir/UER-py, UER-py is a toolkit for pre-training on general-domain corpus and fine-tuning on downstream task. UER-py maintains model modularity and supports research extensibility. It facilitates the use of different pre-training models (e.g. BERT), and provides interfaces for users to further extend upon.
BrikerMan/Kashgari, Simple, Keras-powered multilingual NLP framework, allows you to build your models in 5 minutes for named entity recognition (NER), part-of-speech tagging (PoS) and text classification tasks. Includes BERT, GPT-2 and word2vec embedding.
kaushaltrivedi/fast-bert, Super easy library for BERT based NLP models,
brightmart/roberta_zh, RoBERTa for Chinese, 中文预训练RoBERTa模型,
ymcui/Chinese-BERT-wwm, Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm预训练模型) https://arxiv.org/abs/1906.08101,
thunlp/OpenCLaP,Open Chinese Language Pre-trained Model Zoo, OpenCLaP:多领域开源中文预训练语言模型仓库,
ymcui/Chinese-PreTrained-XLNet, Pre-Trained Chinese XLNet(中文XLNet预训练模型),
brightmart/xlnet_zh, 中文预训练XLNet模型: Pre-Trained Chinese XLNet_Large,
thunlp/ERNIE, Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities", imporove bert with heterogeneous information fusion.
PaddlePaddle/LARK, LAnguage Representations Kit, PaddlePaddle implementation of BERT. It also contains an improved version of BERT, ERNIE, for chinese NLP tasks. BERT 的中文改进版 ERNIE,
zihangdai/xlnet, XLNet: Generalized Autoregressive Pretraining for Language Understanding,
kimiyoung/transformer-xl, Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context, This repository contains the code in both PyTorch and TensorFlow for our paper.
GaoPeng97/transformer-xl-chinese, transformer xl在中文文本生成上的尝试。(transformer xl for text generation of chinese),
PaddlePaddle/ERNIE, An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools) BERT 的中文改进版 ERNIE,
pytorch/fairseq, Facebook AI Research Sequence-to-Sequence Toolkit written in Python. RoBERTa: A Robustly Optimized BERT Pretraining Approach,
facebookresearch/SpanBERT, Code for using and evaluating SpanBERT. , This repository contains code and models for the paper: SpanBERT: Improving Pre-training by Representing and Predicting Spans.,
brightmart/albert_zh, 海量中文预训练ALBERT模型, A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS https://arxiv.org/pdf/1909.11942.pdf,
lonePatient/albert_pytorch, A Lite Bert For Self-Supervised Learning Language Representations,
kpe/bert-for-tf2, A Keras TensorFlow 2.0 implementation of BERT, ALBERT and adapter-BERT. https://github.com/kpe/bert-for-tf2,
brightmart/bert_language_understanding, Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN,
Y1ran/NLP-BERT--ChineseVersion, 谷歌自然语言处理模型BERT:论文解析与python代码,
allenai/scibert, A BERT model for scientific text. https://arxiv.org/abs/1903.10676,
MeRajat/SolvingAlmostAnythingWithBert, BioBert Pytorch
kexinhuang12345/clinicalBERT, ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission https://arxiv.org/abs/1904.05342
EmilyAlsentzer/clinicalBERT, repository for Publicly Available Clinical BERT Embeddings
zhihu/cuBERT, Fast implementation of BERT inference directly on NVIDIA (CUDA, CUBLAS) and Intel MKL
xmxoxo/BERT-train2deploy, Bert Model training and deploy, BERT模型从训练到部署,
https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT, BERT For TensorFlow, This repository provides a script and recipe to train BERT to achieve state of the art accuracy, and is tested and maintained by NVIDIA.
qiangsiwei/bert_distill, BERT distillation(基于BERT的蒸馏实验 ),
kevinmtian/distill-bert, Knowledge Distillation from BERT,
sogou/SMRCToolkit, This toolkit was designed for the fast and efficient development of modern machine comprehension models, including both published models and original prototypes.,
benywon/ChineseBert, This is a chinese Bert model specific for question answering,
matthew-z/R-net, R-net in PyTorch, with BERT and ELMo,
nyu-dl/dl4marco-bert, Passage Re-ranking with BERT,
chiayewken/bert-qa, BERT for question answering starting with HotpotQA,
ankit-ai/BertQA-Attention-on-Steroids, BertQA - Attention on Steroids,
NoviScl/BERT-RACE, This work is based on Pytorch implementation of BERT (https://github.com/huggingface/pytorch-pretrained-BERT). I adapted the original BERT model to work on multiple choice machine comprehension.
allenai/allennlp-bert-qa-wrapper, This is a simple wrapper on top of pretrained BERT based QA models from pytorch-pretrained-bert to make AllenNLP model archives, so that you can serve demos from AllenNLP.
edmondchensj/ChineseQA-with-BERT, EECS 496: Advanced Topics in Deep Learning Final Project: Chinese Question Answering with BERT (Baidu DuReader Dataset)
graykode/toeicbert, TOEIC(Test of English for International Communication) solving using pytorch-pretrained-BERT model.,
graykode/KorQuAD-beginner, https://github.com/graykode/KorQuAD-beginner
krishna-sharma19/SBU-QA, This repository uses pretrain BERT embeddings for transfer learning in QA domain
basketballandlearn/Dureader-Bert, BERT Dureader多文档阅读理解 排名第七, 2019 Dureader机器阅读理解 单模型代码。,
zhpmatrix/Kaggle-Quora-Insincere-Questions-Classification, Kaggle新赛(baseline)-基于BERT的fine-tuning方案+基于tensor2tensor的Transformer Encoder方案
maksna/bert-fine-tuning-for-chinese-multiclass-classification, use google pre-training model bert to fine-tuning for the chinese multiclass classification
NLPScott/bert-Chinese-classification-task, bert中文分类实践,
fooSynaptic/BERT_classifer_trial, BERT trial for chinese corpus classfication
xiaopingzhong/bert-finetune-for-classfier, 微调BERT模型,同时构建自己的数据集实现分类
pengming617/bert_classification, 利用bert预训练的中文模型进行文本分类,
xieyufei1993/Bert-Pytorch-Chinese-TextClassification, Pytorch Bert Finetune in Chinese Text Classification,
liyibo/text-classification-demos, Neural models for Text Classification in Tensorflow, such as cnn, dpcnn, fasttext, bert ...,
circlePi/BERT_Chinese_Text_Class_By_pytorch, A Pytorch implements of Chinese text class based on BERT_Pretrained_Model,
kaushaltrivedi/bert-toxic-comments-multilabel, Multilabel classification for Toxic comments challenge using Bert,
lonePatient/BERT-chinese-text-classification-pytorch, This repo contains a PyTorch implementation of a pretrained BERT model for text classification.,
Chung-I/Douban-Sentiment-Analysis, Sentiment Analysis on Douban Movie Short Comments Dataset using BERT.
lynnna-xu/bert_sa, bert sentiment analysis tensorflow serving with RESTful API
HSLCY/ABSA-BERT-pair, Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence (NAACL 2019) https://arxiv.org/abs/1903.09588,
songyouwei/ABSA-PyTorch, Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。,
howardhsu/BERT-for-RRC-ABSA, code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis",
brightmart/sentiment_analysis_fine_grain, Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger,
zhpmatrix/bert-sequence-tagging, 基于BERT的中文序列标注
kyzhouhzau/BERT-NER, Use google BERT to do CoNLL-2003 NER ! ,
king-menin/ner-bert, NER task solution (bert-Bi-LSTM-CRF) with google bert https://github.com/google-research.
macanv/BERT-BiLSMT-CRF-NER, Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning ,
FuYanzhe2/Name-Entity-Recognition, Lstm-crf,Lattice-CRF,bert-ner及近年ner相关论文follow,
mhcao916/NER_Based_on_BERT, this project is based on google bert model, which is a Chinese NER
ProHiryu/bert-chinese-ner, 使用预训练语言模型BERT做中文NER,
sberbank-ai/ner-bert, BERT-NER (nert-bert) with google bert,
kyzhouhzau/Bert-BiLSTM-CRF, This model base on bert-as-service. Model structure : bert-embedding bilstm crf. ,
Hoiy/berserker, Berserker - BERt chineSE woRd toKenizER, Berserker (BERt chineSE woRd toKenizER) is a Chinese tokenizer built on top of Google's BERT model. ,
Kyubyong/bert_ner, Ner with Bert,
jiangpinglei/BERT_ChineseWordSegment, A Chinese word segment model based on BERT, F1-Score 97%,
yanwii/ChineseNER, 基于Bi-GRU + CRF 的中文机构名、人名识别 中文实体识别, 支持google bert模型
lemonhu/NER-BERT-pytorch, PyTorch solution of NER task Using Google AI's pre-trained BERT model.
nlpyang/BertSum, Code for paper Fine-tune BERT for Extractive Summarization,
santhoshkolloju/Abstractive-Summarization-With-Transfer-Learning, Abstractive summarisation using Bert as encoder and Transformer Decoder,
nayeon7lee/bert-summarization, Implementation of 'Pretraining-Based Natural Language Generation for Text Summarization', Paper: https://arxiv.org/pdf/1902.09243.pdf
dmmiller612/lecture-summarizer, Lecture summarizer with BERT
asyml/texar, Toolkit for Text Generation and Beyond https://texar.io, Texar is a general-purpose text generation toolkit, has also implemented BERT here for classification, and text generation applications by combining with Texar's other modules.
voidful/BertGenerate, Fine tuning bert for text generation, Bert 做 文本生成 的一些實驗
Tiiiger/bert_score, BERT score for language generation,
lvjianxin/Knowledge-extraction, 基于中文的知识抽取,BaseLine:Bi-LSTM+CRF 升级版:Bert预训练
sakuranew/BERT-AttributeExtraction, USING BERT FOR Attribute Extraction in KnowledgeGraph. fine-tuning and feature extraction. 使用基于bert的微调和特征提取方法来进行知识图谱百度百科人物词条属性抽取。,
jkszw2014/bert-kbqa-NLPCC2017, A trial of kbqa based on bert for NLPCC2016/2017 Task 5 (基于BERT的中文知识库问答实践,代码可跑通),博客介绍 https://blog.csdn.net/ai_1046067944/article/details/86707784 ,
yuanxiaosc/Schema-based-Knowledge-Extraction, Code for http://lic2019.ccf.org.cn/kg 信息抽取。使用基于 BERT 的实体抽取和关系抽取的端到端的联合模型。(将在比赛结束后,完善代码和使用说明),
yuanxiaosc/Entity-Relation-Extraction, Entity and Relation Extraction Based on TensorFlow. 基于TensorFlow的管道式实体及关系抽取,2019语言与智能技术竞赛信息抽取任务解决方案(比赛结束后完善代码)。Schema based Knowledge Extraction, SKE 2019 http://lic2019.ccf.org.cn,
WenRichard/KBQA-BERT, 基于知识图谱的问答系统,BERT做命名实体识别和句子相似度,分为online和outline模式,博客介绍 https://zhuanlan.zhihu.com/p/62946533 ,
zhpmatrix/BERTem, ACL2019论文实现《Matching the Blanks: Distributional Similarity for Relation Learning》 ,
ianycxu/RGCN-with-BERT, Gated-Relational Graph Convolutional Networks (RGCN) with BERT for Coreference Resolution Task
isabellebouchard/BERT_for_GAP-coreference, BERT finetuning for GAP unbiased pronoun resolution
GaoQ1/rasa_nlu_gq, turn natural language into structured data(支持中文,自定义了N种模型,支持不同的场景和任务),
GaoQ1/rasa_chatbot_cn, 基于rasa-nlu和rasa-core 搭建的对话系统demo,
GaoQ1/rasa-bert-finetune, 支持rasa-nlu 的bert finetune,
geodge831012/bert_robot, 用于智能助手回答问题的训练,基于BERT模型进行训练改造
yuanxiaosc/BERT-for-Sequence-Labeling-and-Text-Classification, This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.
guillaume-chevalier/ReuBERT, A question-answering chatbot, simply.
hanxiao/bert-as-service, Mapping a variable-length sentence to a fixed-length vector using pretrained BERT model,
YC-wind/embedding_study, 中文预训练模型生成字向量学习,测试BERT,ELMO的中文效果,
Kyubyong/bert-token-embeddings, Bert Pretrained Token Embeddings,
xu-song/bert_as_language_model, bert as language model, fork from https://github.com/google-research/bert,
yuanxiaosc/Deep_dynamic_word_representation, TensorFlow code and pre-trained models for deep dynamic word representation (DDWR). It combines the BERT model and ELMo's deep context word representation.,
imgarylai/bert-embedding, Token level embeddings from BERT model on mxnet and gluonnlp http://bert-embedding.readthedocs.io/,
terrifyzhao/bert-utils, BERT生成句向量,BERT做文本分类、文本相似度计算,
fennuDetudou/BERT_implement, 使用BERT模型进行文本分类,相似句子判断,以及词性标注,
whqwill/seq2seq-keyphrase-bert, add BERT to encoder part for https://github.com/memray/seq2seq-keyphrase-pytorch,
charles9n/bert-sklearn, a sklearn wrapper for Google's BERT model,
NVIDIA/Megatron-LM, Ongoing research training transformer language models at scale, including: BERT,
hankcs/BERT-token-level-embedding, Generate BERT token level embedding without pain
facebookresearch/LAMA, LAMA: LAnguage Model Analysis, LAMA is a set of connectors to pre-trained language models.
pengming617/bert_textMatching, 利用预训练的中文模型实现基于bert的语义匹配模型 数据集为LCQMC官方数据
Brokenwind/BertSimilarity, Computing similarity of two sentences with google's BERT algorithm
policeme/chinese_bert_similarity, bert chinese similarity
lonePatient/bert-sentence-similarity-pytorch, This repo contains a PyTorch implementation of a pretrained BERT model for sentence similarity task.
nouhadziri/DialogEntailment, The implementation of the paper "Evaluating Coherence in Dialogue Systems using Entailment" https://arxiv.org/abs/1904.03371
UKPLab/sentence-transformers, Sentence Embeddings with BERT & XLNet, Sentence Transformers: Sentence Embeddings using BERT / RoBERTa / XLNet with PyTorch,
graykode/nlp-tutorial, Natural Language Processing Tutorial for Deep Learning Researchers https://www.reddit.com/r/MachineLearn…,
dragen1860/TensorFlow-2.x-Tutorials, TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。,