codeants2012's repositories

ChineseNER

中文命名实体识别,实体抽取,tensorflow,pytorch,BiLSTM+CRF

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awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch

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BDCI-2018-Supply-Chain-Demand-Forecast

初赛Rank1 复赛Rank1 2018 CCF 大数据与计算智能大赛 供应链需求预测 Miracccccccle

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bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

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Bert-BiLSTM-CRF

This model base on bert-as-service. Model structure : bert-embedding bilstm crf.

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BERT-BiLSTM-CRF-NER

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning

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BERT-NER

Use google BERT to do CoNLL-2003 NER !

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book-of-qna-code

code collections for the book of qna

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BootEA

Bootstrapping Entity Alignment with Knowledge Graph Embedding

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China-Merchants-Bank-credit-card-Cente-User-purchase-forecast

招商银行信用卡中心 消费金融场景下的用户购买预测 rank1

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funNLP

中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌&零件词库、时间抽取、连续英文切割、中文词向量大全、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、历史名人词库、诗词词库、医学词库、饮食词库、法律词库、汽车词库、动物词库、中文聊天语料、中文谣言数据。

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GNNPapers

Must-read papers on graph neural networks (GNN)

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HRL-RE

Joint Relation Extraction with Hierarchical Reinforcement Learning

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Joint-Extraction-of-Entities-and-Relations-Based-on-a-Novel-Tagging-Scheme

Joint Extraction of Entities and Relations Based on cnn+rnn

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livebot

LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts (AAAI 2019)

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ner-bert

BERT-NER (nert-bert) with google bert https://github.com/google-research.

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NER-pytorch

LSTM+CRF NER

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NumpyWDL

Implement Wide & Deep algorithm by using NumPy

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PyTorch_Tutorial

《Pytorch模型训练实用教程》中配套代码

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Relation_extraction

面向金融领域的实体关系抽取

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san_mrc

Stochastic Answer Networks (SAN) for Machine Reading Comprehension

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styleguide

Style guides for Google-originated open-source projects

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tensorflow_practice

tensorflow实战练习,包括强化学习、推荐系统、nlp等

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thesis

Danqi Chen's PhD Thesis

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vim-deprecated

vim配置文件和插件(不再维护)

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Z_knowledge_graph

Bulding kg from 0

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zh-google-styleguide

Google 开源项目风格指南 (中文版)

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