zhang-1048

zhang-1048's Stars

• netease-youdao/QAnything

  Question and Answer based on Anything.

  Language:Python11.8k1.1k

• PaddlePaddle/PaddleOCR

  Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

  Language:Python44k7.8k

• HaddyYang/django2.0-course

  Django2.0视频教程相关代码（杨仕航）

  Language:Python1.1k461

• liangliangyy/DjangoBlog

  🍺基于Django的博客系统

  Language:Python6.6k2.7k

• jackfrued/Python-100-Days

  Python - 100天从新手到大师

  Language:Python157k52.3k

• ArtifexSoftware/pdf2docx

  Open source Python library for converting PDF to DOCX.

  Language:Python2.6k376

• lansinuote/Huggingface_Task

  Language:Jupyter Notebook8828

• 920232796/bert_seq2seq

  pytorch实现 Bert 做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持t5模型，支持GPT2进行文章续写。

  Language:Python1.3k209

• hughqiu/GPT2-Chinese

  Chinese version of GPT2 training code, using BERT or BPE tokenizer.

  Language:Python176

• Morizeyao/GPT2-Chinese

  Chinese version of GPT2 training code, using BERT tokenizer.

  Language:Python7.5k1.7k

• rattlesnakey/GPT-Chinese-Summary-Generation

  基于GPT2的文本摘要生成

  Language:Python6

• zhang-1048/Bert-In-Relation-Extraction

  使用Bert完成实体之间关系抽取

  1

• WuHuRestaurant/xf_event_extraction2020Top1

  科大讯飞2020事件抽取挑战赛第一名解决方案&完整事件抽取系统

  Language:Python536123

• baidu/DDParser

  百度开源的依存句法分析系统

  Language:Python975162

• 2012060010010/sent_compression

  句子压缩模型，用于去除句子不重要的部分，使得语法分析等更加精确。

  Language:Jupyter Notebook176

• xuanzebi/BERT-CH-NER

  基于BERT的中文命名实体识别

  Language:Python393101

• bojone/lic2020_baselines

  some baselines for lic2020 (http://lic2020.cipsc.org.cn/)

  Language:Python21852

• ll0ruc/BD_event-extraction

  百度2020语言与智能技术竞赛：事件抽取赛道方案代码

  Language:Python5114

• ZCcaptain/event_detection

  event_detection

  Language:Python2

• liushulinle/event_detection_without_triggers

  Language:Python6217

• loujie0822/DeepIE

  DeepIE: Deep Learning for Information Extraction

  Language:Python1.9k356

• carrie0307/DL_EventExtractionPapers

  2015年以来基于深度学习方法的事件抽取论文整理

  632101

• hecongqing/CCKS2019_EventEntityExtraction_Rank5

  SEBERTNets：一种面向金融领域的事件主体抽取方法

  Language:Python19341

• zhang17173/Event-Extraction

  基于法律裁判文书的事件抽取及其应用，包括数据的分词、词性标注、命名实体识别、事件要素抽取和判决结果预测等内容

  Language:Python573135

• liuhuanyong/EventTriplesExtraction

  An experiment and demo-level tool for text information extraction (event-triples extraction), which can be a route to the event chain and topic graph, 基于依存句法与语义角色标注的事件三元组抽取，可用于文本理解如文档主题链，事件线等应用。

  Language:Python916220

• yongzhuo/Keras-TextClassification

  中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

  Language:Python1.8k406

• huwenxianglyy/bert-use-demo

  the demo for bert

  Language:Python14164