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advancedeast

AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which make long text predictions more accurate.

albert_pytorch

A Lite Bert For Self-Supervised Learning Language Representations

albert_zh

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-pytorch-chinese

【干货】史上最全的PyTorch学习资源汇总

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-pytorch-list-cnversion

Awesome-pytorch-list 翻译工作进行中......

awesome-question-answering

Resources, datasets, papers on Question Answering

bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private server services

bert-bilstm-crf-pytorch

使用谷歌预训练bert做字嵌入的BiLSTM-CRF序列标注模型

bert-utils

一行代码使用BERT生成句向量，BERT做文本分类、文本相似度计算

bertner

bert-ner for chinese with BiLSTM+CRF model

biosyn

ACL'2020: Biomedical Entity Representations with Synonym Marginalization

biu-rpi-event-extraction-project

chinese-electra

Pre-trained Chinese ELECTRA（中文ELECTRA预训练模型）

chinese-text-classification-pytorch

中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

chinese-xlnet

Pre-Trained Chinese XLNet（中文XLNet预训练模型）

chinesener

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

chinesenlpcorpus

中文自然语言处理数据集，平时做做实验的材料。欢迎补充提交合并。

chinesenre

中文实体关系抽取，pytorch，bilstm+attention

chinesests

中文文本语义相似度（Chinese Semantic Text Similarity）语料库建设

company-names-corpus

公司名语料库。机构名语料库。公司简称,缩写,品牌词,企业名。

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程

deep-photo-styletransfer

Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

deepie

DeepIE

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

dice_loss_for_nlp

The repo contains the code of the ACL2020 paper `Dice Loss for Data-imbalanced NLP Tasks`

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dl4nlp

Deep Learning for NLP resources