💎多语言实现，高性能生成唯一数字ID。 💎优化的雪花算法（SnowFlake）——雪花漂移算法，在缩短ID长度的同时，具备极高瞬时并发处理能力（50W/0.1s）。 💎原生支持 C#/Java/Go/Rust/C/JavaScript/TypeScript/Python/Pascal 多语言，提供其它适用于其它语言的多线程安全调用动态库（FFI）。💎支持容器环境自动扩容（自动注册 Worke…

ID Generator id生成器 分布式id生成系统，简单易用、高性能、高可用的id生成系统

一个轻量级 Java 权限认证框架，让鉴权变得简单、优雅！—— 登录认证、权限认证、分布式Session会话、微服务网关鉴权、单点登录、OAuth2.0

从零入门 ！Spring Security With JWT（含权限验证）后端部分代码。

一款基于Netty+Zookeeper+Spring实现的轻量级Java RPC框架。提供服务注册，发现，负载均衡，支持API调用，Spring集成和Spring Boot starter使用。是一个学习RPC工作原理的良好示例。

The Chinese MNER dataset.

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

MCG-MNER: A Multi-Granularity Cross-Modality Generative Framework for Multimodal NER with Instruction

For multimodal named entity recognition and multimodal relationship extraction(Python)

Source code of paper:"Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation Extraction".

Repository for VisualSem: a high-quality knowledge graph to support research in vision and language.

🦜🔗 Build context-aware reasoning applications

Code and data for ACM MM '23 paper “MORE: A Multimodal Object-Entity Relation Extraction Dataset with a Benchmark Evaluation”

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

Official implementation for "I2SRM: Intra- and Inter-Sample Relationship Modeling for Multimodal Information Extraction" (ACM Multimedai Asia 2023)

HICH Image/Text (HICH-IT): Comprehensive Text and Image Datasets for Hypertensive Intracerebral Hemorrhage Research

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Improving One-stage Visual Grounding by Recursive Sub-query Construction, ECCV 2020

mall-swarm是一套微服务商城系统，采用了 Spring Cloud Alibaba、Spring Boot、Oauth2、MyBatis、Docker、Elasticsearch、Kubernetes等核心技术，同时提供了基于Vue的管理后台方便快速搭建系统。mall-swarm在电商业务的基础集成了注册中心、配置中心、监控中心、网关等系统功能。文档齐全，附带全套Spring Clo…

A Fast and Accurate One-Stage Approach to Visual Grounding, ICCV 2019 (Oral)

Resource and Code for ICME 2021 paper "MNRE: A Challenge Multimodal Dataset for Neural Relation Extraction with Visual Evidence in Social Media Posts"

[EMNLP 2023 Findings] Prompting Chatgpt in MNER: Enhanced Multimodal Named Entity Recognition with Auxiliary Refined Knowledge

awesome-multimodal-named-entity-recognition

AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models

中文命名实体识别。包含目前最新的中文命名实体识别论文、中文实体识别相关工具、数据集，以及中文预训练模型、词向量、实体识别综述等。

[NAACL 2022 Findings] Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction