Pinned Repositories
blog
博客管理系统
docs
EasyWeChat documentation.
ecshop
商城系统，支持微信
English-level-up-tips-for-Chinese
可能是让你受益匪浅的英语进阶指南
fightByPIC
fight with pictures
hospital-register-system
医院挂号系统
Lightning
本仓库使用Laravel 8 + jet-stream(inertia.js)重写Lightning。
MECT4CNER
Code for ACL 2021 paper. MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition.
NeurIPS_2022_WikiKG90Mv2_TIEG-Youpu
This is the code of Team TIEG-Youpu in the WikiKG90Mv2-LSC track of OGB-LSC @ NeurIPS 2022.
NFLAT4CNER
CoderMusou's Repositories
CoderMusou/MECT4CNER
Code for ACL 2021 paper. MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition.
CoderMusou/NFLAT4CNER
CoderMusou/Lightning
本仓库使用Laravel 8 + jet-stream(inertia.js)重写Lightning。
CoderMusou/hospital-register-system
医院挂号系统
CoderMusou/blog
博客管理系统
CoderMusou/docs
EasyWeChat documentation.
CoderMusou/ecshop
商城系统，支持微信
CoderMusou/English-level-up-tips-for-Chinese
可能是让你受益匪浅的英语进阶指南
CoderMusou/fightByPIC
fight with pictures
CoderMusou/NeurIPS_2022_WikiKG90Mv2_TIEG-Youpu
This is the code of Team TIEG-Youpu in the WikiKG90Mv2-LSC track of OGB-LSC @ NeurIPS 2022.
CoderMusou/Flat-Lattice-Transformer
code for ACL 2020 paper: FLAT: Chinese NER Using Flat-Lattice Transformer
CoderMusou/GAIIC2022-Product-Title-Entity-Recognition-Baseline
GAIIC2022商品标题实体识别Baseline，使用GlobalPointer实现，线上0.8019
CoderMusou/glyce
Code for NeurIPS 2019 - Glyce: Glyph-vectors for Chinese Character Representations
CoderMusou/GMM-EM
关于混合高斯模型的期望最大算法的实现
CoderMusou/laravel-express
Laravel 快递插件( Laravel Express)
CoderMusou/lin-ui
Fantastic native based Mini-Programe components 优质的原生小程序组件库
CoderMusou/map-applet
微信小程序地图组件demo
CoderMusou/Mock
A simulation data generator
CoderMusou/PgwSlideshow
Responsive Slideshow / Gallery / Carousel plugin for jQuery and Zepto
CoderMusou/seatbook
CoderMusou/ThinkWechat
为thinkphp提供的微信SDK，集成opensns管理后台，wechat-php-sdk, WEUI 实现快速开发微信企业号，微信服务号，钉钉办公套件，内置二维码生成，邮件短信微信消息发送，也许是thinkphp最好最快的微信开发工具。
CoderMusou/ticket
简单的工单系统 基于 laravel 开发
CoderMusou/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.