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ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

albert-chinese-ner

使用预训练语言模型ALBERT做中文NER

albert_4_time_recognition

使用ALBERT预训练模型，用于识别文本中的时间，同时验证模型的预测耗时是否有显著提升。

albert_lstm_crf_ner

albert lstm crf实体识别，pytorch

albert_zh

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

awesome-bert

bert nlp papers, applications and github resources, including the newst xlnet ， BERT、XLNet 相关论文和 github 项目

bert-based-triplet

bert-bilstm-crf

BERT-BiLSTM-CRF的Keras版实现

bert-bilstm-crf-ner

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

bert-ner

Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.

bert-ner-pytorch

Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)

bert4keras

keras implement of transformers for humans

bertner

bert-ner for chinese with BiLSTM+CRF model

bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

casrel

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.

ccks_baidu_entity_link

ccks baidu entity link 实体链接 第一名

chinesener

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

chinesener-1

A neural network model for Chinese named entity recognition

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。

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

deepmatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

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。

entity-relation-extraction

Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT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。Schema based Knowledge Extraction, SKE 2019

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

fast_text_gcn

FastGCN for inductive text classification

flask

A microframework based on Werkzeug, Jinja2 and good intentions

ftp

Implementation of a simple FTP client and server

ftp-1

A File Transfer Protocol implementation in Python with both server and client

ftp-2

Python FTP Server & Client