DragonistYJ

DragonistYJ's Stars

• kubesphere/kubesphere

  The container platform tailored for Kubernetes multi-cloud, datacenter, and edge management ⎈ 🖥 ☁️

  Language:Go15.2k2.2k

• ant-design/ant-design

  An enterprise-class UI design language and React UI library

  Language:TypeScript92.5k49.7k

• vuejs/vue

  This is the repo for Vue 2. For Vue 3, go to https://github.com/vuejs/core

  Language:TypeScript208k33.7k

• facebook/react

  The library for web and native user interfaces.

  Language:JavaScript229k46.9k

• antvis/G6VP

  G6VP is an online visual analysis tool for graphs and a low-code platform for building graph applications.

  Language:TypeScript818111

• coreemu/core

  Common Open Research Emulator

  Language:Python682165

• alibaba/arthas

  Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas

  Language:Java35.6k7.5k

• leizongmin/node-segment

  基于Node.js的中文分词模块

  Language:JavaScript1.2k132

• linonetwo/segmentit

  任何 JS 环境可用的中文分词包，fork from leizongmin/node-segment

  Language:JavaScript26815

• DragonistYJ/annotator-electron

  Language:Vue1

• samuelngs/apple-emoji-linux

  Brings Apple's vibrant emojis to your Linux experience

  Language:Python79554

• whale-ynu/TAN

  【TPDS 2022】Topology-Aware Neural Model for Highly Accurate QoS Prediction

  Language:Python82

• DragonistYJ/annotator-web

  Language:Vue2

• DragonistYJ/annotator

  Language:Python2

• DragonistYJ/DistributedDatabase-SPTC

  Language:Java1

• Lightning-AI/pytorch-lightning

  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

  Language:Python28.3k3.4k

• princeton-nlp/PURE

  [NAACL 2021] A Frustratingly Easy Approach for Entity and Relation Extraction https://arxiv.org/abs/2010.12812

  Language:Python791122

• thunlp/OpenNRE

  An Open-Source Package for Neural Relation Extraction (NRE)

  Language:Python4.3k1.1k

• DragonistYJ/ai-learn

  人工智能学习笔记

  Language:Jupyter Notebook1

• DragonistYJ/design-pattern

  设计模式学习

  Language:Java1

• RedDrip7/APT_Digital_Weapon

  Indicators of compromise (IOCs) collected from public resources and categorized by Qi-AnXin.

  894244

• SunstarMan/PracticalTraining

  Summer training for sophomore

  Language:Java2

• SunstarMan/ETOFEL

  人人托福实训项目

  2

• SunstarMan/JavaLearn

  Language:Java2

• SunstarMan/Chart

  简易多通道图表系统

  Language:Java2

• SunstarMan/ResourceShare

  基于请求流的文件分享系统

  Language:Python2

• SunstarMan/ClassicalChinese

  文言文学习小程序

  Language:JavaScript2

• SunstarMan/Party

  基于机器学习的智慧党建平台

  Language:Java52

• gofreelee/ETOFEL

  人人托福实训项目

  33

• doocs/advanced-java

  😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识

  Language:Java76.2k19.1k