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【BERT】最棒的BERT

apaas.dev
30 May 2022
SEO Title
Jiakui awesome-bert

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）).

Papers:

  1. arXiv:1810.04805, BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , Authors: Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
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Github Repositories:

official implement:

  1. google-research/bert, officical TensorFlow code and pre-trained models for BERT , 

implement of BERT besides tensorflow:

  1. codertimo/BERT-pytorch, Google AI 2018 BERT pytorch implementation, 

  2. huggingface/pytorch-pretrained-BERT, A PyTorch implementation of Google AI's BERT model with script to load Google's pre-trained models, 

  3. dmlc/gluon-nlp, Gluon + MXNet implementation that reproduces BERT pretraining and finetuning on GLUE benchmark, SQuAD, etc, 

  4. 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.

  5. 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. 

  6. kaushaltrivedi/fast-bert, Super easy library for BERT based NLP models, 

Click to see more

Pretrained BERT weights:

  1. brightmart/roberta_zh, RoBERTa for Chinese, 中文预训练RoBERTa模型, 

  2. 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, 

  3. 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, 

  4. ymcui/Chinese-PreTrained-XLNet, Pre-Trained Chinese XLNet（中文XLNet预训练模型）, 

  5. brightmart/xlnet_zh, 中文预训练XLNet模型: Pre-Trained Chinese XLNet_Large, 

improvement over BERT:

  1. thunlp/ERNIE, Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities", imporove bert with heterogeneous information fusion. 

  2. 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, 

  3. zihangdai/xlnet, XLNet: Generalized Autoregressive Pretraining for Language Understanding, 

  4. 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. 

  5. GaoPeng97/transformer-xl-chinese, transformer xl在中文文本生成上的尝试。（transformer xl for text generation of chinese）, 

  6. 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, 

  7. pytorch/fairseq, Facebook AI Research Sequence-to-Sequence Toolkit written in Python. RoBERTa: A Robustly Optimized BERT Pretraining Approach, 

  8. 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., 

  9. 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, 

  10. lonePatient/albert_pytorch, A Lite Bert For Self-Supervised Learning Language Representations, 

  11. kpe/bert-for-tf2, A Keras TensorFlow 2.0 implementation of BERT, ALBERT and adapter-BERT. https://github.com/kpe/bert-for-tf2, 

other resources for BERT:

  1. brightmart/bert_language_understanding, Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN, 

  2. Y1ran/NLP-BERT--ChineseVersion, 谷歌自然语言处理模型BERT：论文解析与python代码, 

Click to see more

domain specific BERT:

  1. allenai/scibert, A BERT model for scientific text. https://arxiv.org/abs/1903.10676, 

  2. MeRajat/SolvingAlmostAnythingWithBert, BioBert Pytorch 

  3. kexinhuang12345/clinicalBERT, ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission https://arxiv.org/abs/1904.05342 

  4. EmilyAlsentzer/clinicalBERT, repository for Publicly Available Clinical BERT Embeddings 

BERT Deploy Tricks:

  1. zhihu/cuBERT, Fast implementation of BERT inference directly on NVIDIA (CUDA, CUBLAS) and Intel MKL 

  2. xmxoxo/BERT-train2deploy, Bert Model training and deploy, BERT模型从训练到部署, 

  3. 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. 

  4. qiangsiwei/bert_distill, BERT distillation（基于BERT的蒸馏实验 ）, 

  5. kevinmtian/distill-bert, Knowledge Distillation from BERT, 

BERT QA & RC task:

  1. sogou/SMRCToolkit, This toolkit was designed for the fast and efficient development of modern machine comprehension models, including both published models and original prototypes., 

  2. benywon/ChineseBert, This is a chinese Bert model specific for question answering, 

  3. matthew-z/R-net, R-net in PyTorch, with BERT and ELMo, 

  4. nyu-dl/dl4marco-bert, Passage Re-ranking with BERT, 

  5. xzp27/BERT-for-Chinese-Question-Answering, 

  6. chiayewken/bert-qa, BERT for question answering starting with HotpotQA, 

  7. ankit-ai/BertQA-Attention-on-Steroids, BertQA - Attention on Steroids, 

  8. 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. 

  9. eva-n27/BERT-for-Chinese-Question-Answering, 

  10. 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. 

  11. edmondchensj/ChineseQA-with-BERT, EECS 496: Advanced Topics in Deep Learning Final Project: Chinese Question Answering with BERT (Baidu DuReader Dataset) 

  12. graykode/toeicbert, TOEIC(Test of English for International Communication) solving using pytorch-pretrained-BERT model., 

  13. graykode/KorQuAD-beginner, https://github.com/graykode/KorQuAD-beginner 

  14. krishna-sharma19/SBU-QA, This repository uses pretrain BERT embeddings for transfer learning in QA domain 

  15. 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。, 

BERT classification task:

  1. 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 

  2. maksna/bert-fine-tuning-for-chinese-multiclass-classification, use google pre-training model bert to fine-tuning for the chinese multiclass classification 

  3. NLPScott/bert-Chinese-classification-task, bert中文分类实践, 

  4. Socialbird-AILab/BERT-Classification-Tutorial, 

  5. fooSynaptic/BERT_classifer_trial, BERT trial for chinese corpus classfication 

  6. xiaopingzhong/bert-finetune-for-classfier, 微调BERT模型,同时构建自己的数据集实现分类 

  7. pengming617/bert_classification, 利用bert预训练的中文模型进行文本分类, 

  8. xieyufei1993/Bert-Pytorch-Chinese-TextClassification, Pytorch Bert Finetune in Chinese Text Classification, 

  9. liyibo/text-classification-demos, Neural models for Text Classification in Tensorflow, such as cnn, dpcnn, fasttext, bert ..., 

  10. circlePi/BERT_Chinese_Text_Class_By_pytorch, A Pytorch implements of Chinese text class based on BERT_Pretrained_Model, 

  11. kaushaltrivedi/bert-toxic-comments-multilabel, Multilabel classification for Toxic comments challenge using Bert, 

  12. lonePatient/BERT-chinese-text-classification-pytorch, This repo contains a PyTorch implementation of a pretrained BERT model for text classification., 

BERT Sentiment Analysis

  1. Chung-I/Douban-Sentiment-Analysis, Sentiment Analysis on Douban Movie Short Comments Dataset using BERT. 

  2. lynnna-xu/bert_sa, bert sentiment analysis tensorflow serving with RESTful API 

  3. HSLCY/ABSA-BERT-pair, Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence (NAACL 2019) https://arxiv.org/abs/1903.09588, 

  4. songyouwei/ABSA-PyTorch, Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。, 

  5. howardhsu/BERT-for-RRC-ABSA, code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis", 

  6. brightmart/sentiment_analysis_fine_grain, Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger, 

BERT NER task:

  1. zhpmatrix/bert-sequence-tagging, 基于BERT的中文序列标注 

  2. kyzhouhzau/BERT-NER, Use google BERT to do CoNLL-2003 NER ! , 

  3. king-menin/ner-bert, NER task solution (bert-Bi-LSTM-CRF) with google bert https://github.com/google-research. 

  4. macanv/BERT-BiLSMT-CRF-NER, Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning , 

  5. FuYanzhe2/Name-Entity-Recognition, Lstm-crf,Lattice-CRF,bert-ner及近年ner相关论文follow, 

  6. mhcao916/NER_Based_on_BERT, this project is based on google bert model, which is a Chinese NER 

  7. ProHiryu/bert-chinese-ner, 使用预训练语言模型BERT做中文NER, 

  8. sberbank-ai/ner-bert, BERT-NER (nert-bert) with google bert, 

  9. kyzhouhzau/Bert-BiLSTM-CRF, This model base on bert-as-service. Model structure : bert-embedding bilstm crf. , 

  10. Hoiy/berserker, Berserker - BERt chineSE woRd toKenizER, Berserker (BERt chineSE woRd toKenizER) is a Chinese tokenizer built on top of Google's BERT model. , 

  11. Kyubyong/bert_ner, Ner with Bert, 

  12. jiangpinglei/BERT_ChineseWordSegment, A Chinese word segment model based on BERT, F1-Score 97%, 

  13. 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 

  14. lemonhu/NER-BERT-pytorch, PyTorch solution of NER task Using Google AI's pre-trained BERT model. 

BERT Text Summarization Task:

  1. nlpyang/BertSum, Code for paper Fine-tune BERT for Extractive Summarization, 

  2. santhoshkolloju/Abstractive-Summarization-With-Transfer-Learning, Abstractive summarisation using Bert as encoder and Transformer Decoder, 

  3. nayeon7lee/bert-summarization, Implementation of 'Pretraining-Based Natural Language Generation for Text Summarization', Paper: https://arxiv.org/pdf/1902.09243.pdf 

  4. dmmiller612/lecture-summarizer, Lecture summarizer with BERT 

BERT Text Generation Task:

  1. 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. 

  2. voidful/BertGenerate, Fine tuning bert for text generation, Bert 做 文本生成 的一些實驗 

  3. Tiiiger/bert_score, BERT score for language generation, 

BERT Knowledge Graph Task :

  1. lvjianxin/Knowledge-extraction, 基于中文的知识抽取，BaseLine：Bi-LSTM+CRF 升级版：Bert预训练 

  2. 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。, 

  3. aditya-AI/Information-Retrieval-System-using-BERT, 

  4. 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 , 

  5. 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）, 

  6. 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, 

  7. 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 , 

  8. zhpmatrix/BERTem, ACL2019论文实现《Matching the Blanks: Distributional Similarity for Relation Learning》 , 

BERT Coreference Resolution

  1. ianycxu/RGCN-with-BERT, Gated-Relational Graph Convolutional Networks (RGCN) with BERT for Coreference Resolution Task 

  2. isabellebouchard/BERT_for_GAP-coreference, BERT finetuning for GAP unbiased pronoun resolution 

BERT visualization toolkit:

  1. jessevig/bertviz, Tool for visualizing BERT's attention, 

BERT chatbot :

  1. 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), 

  2. GaoQ1/rasa_chatbot_cn, 基于rasa-nlu和rasa-core 搭建的对话系统demo, 

  3. GaoQ1/rasa-bert-finetune, 支持rasa-nlu 的bert finetune, 

  4. 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 

  5. 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. 

  6. guillaume-chevalier/ReuBERT, A question-answering chatbot, simply. 

BERT language model and embedding:

  1. hanxiao/bert-as-service, Mapping a variable-length sentence to a fixed-length vector using pretrained BERT model, 

  2. 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, 

  3. Kyubyong/bert-token-embeddings, Bert Pretrained Token Embeddings, 

  4. xu-song/bert_as_language_model, bert as language model, fork from https://github.com/google-research/bert, 

  5. 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., 

  6. imgarylai/bert-embedding, Token level embeddings from BERT model on mxnet and gluonnlp http://bert-embedding.readthedocs.io/, 

  7. terrifyzhao/bert-utils, BERT生成句向量，BERT做文本分类、文本相似度计算, 

  8. 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, 

  9. whqwill/seq2seq-keyphrase-bert, add BERT to encoder part for https://github.com/memray/seq2seq-keyphrase-pytorch, 

  10. charles9n/bert-sklearn, a sklearn wrapper for Google's BERT model, 

  11. NVIDIA/Megatron-LM, Ongoing research training transformer language models at scale, including: BERT, 

  12. hankcs/BERT-token-level-embedding, Generate BERT token level embedding without pain 

  13. facebookresearch/LAMA, LAMA: LAnguage Model Analysis, LAMA is a set of connectors to pre-trained language models. 

BERT Text Match:

  1. 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 

  2. Brokenwind/BertSimilarity, Computing similarity of two sentences with google's BERT algorithm 

  3. policeme/chinese_bert_similarity, bert chinese similarity 

  4. lonePatient/bert-sentence-similarity-pytorch, This repo contains a PyTorch implementation of a pretrained BERT model for sentence similarity task. 

  5. nouhadziri/DialogEntailment, The implementation of the paper "Evaluating Coherence in Dialogue Systems using Entailment" https://arxiv.org/abs/1904.03371 

  6. UKPLab/sentence-transformers, Sentence Embeddings with BERT & XLNet, Sentence Transformers: Sentence Embeddings using BERT / RoBERTa / XLNet with PyTorch, 

BERT tutorials:

  1. graykode/nlp-tutorial, Natural Language Processing Tutorial for Deep Learning Researchers https://www.reddit.com/r/MachineLearn…, 

  2. 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。, 

原文：https://github.com/Jiakui/awesome-bert

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