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adv_text

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

baidunetdiskplugin-macos

For macOS.百度网盘 破解SVIP、下载速度限制~

bert-as-service

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

bert-bilstm-crf-ner

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

bert-class

bert-pytorch

Google AI 2018 BERT pytorch implementation

bert-sim

bert-train2deploy

BERT模型从训练到部署

cail2019

法研杯2019 阅读理解赛道 top3

cail_2019_code

法研杯2019阅读理解参赛代码，基于pytorch-pretrained-bert，可以在小数据集上训练达到70+ F1

captchaidentifier

Image Captcha Solving Using TensorFlow and CNN Model，with self-labeling image Dataset crawled from a website，free to download my Dataset for self-learning. accuracy 95%+

chat

基于自然语言理解与机器学习的聊天机器人，支持多用户并发及自定义多轮对话

chatbot

一个可以自己进行训练的中文聊天机器人， 根据自己的语料训练出自己想要的聊天机器人，可以用于智能客服、在线问答、智能聊天等场景。加入seqGAN版本。

chinese-bert-similarity

bert chinese similarity

chinese-bert-wwm

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm预训练模型）

chinese-pretrained-xlnet

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

chinese-relation-extraction

Relation Extraction 中文关系提取

chinese_bert_classification

Bert中文文本分类

chinese_chatbot_corpus

中文公开聊天语料库

chinese_ocr

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

chineseglue

Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard

chinesener

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

crimekgassitant

Crime assistant including crime type prediction and crime consult service based on nlp methods and crime kg,罪名法务智能项目,内容包括856项罪名知识图谱, 基于280万罪名训练库的罪名预测,基于20W法务问答对的13类问题分类与法律资讯问答功能.

customerserviceai

智能客服

data_augment

NLP的数据增强Demo

davar-lab-ocr

OCR toolbox from Davar-Lab

deeppavlov

An open source library for deep learning end-to-end dialog systems and chatbots.

dialog-system-with-task-retrieval-and-seq2seq

「2018 JDDC」 对话大赛亚军解决方案