Popular GitHub Repositories for Gin

?Vite+Vue3+Gin拥有AI辅助的基础开发平台，支持TS和JS混用。它集成了JWT鉴权、权限管理、动态路由、显隐可控组件、分页封装、多点登录拦截、资源权限、上传下载、代码生成器、表单生成器和可配置的导入导出等开发必备功能。

Modular e-commerce backend with a GraphQL gateway and gRPC microservices for accounts, products, orders, and recommendations.

1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.

Tangseng search engine including full text search and vector search base on golang. 基于go语言的搜索引擎，信息检索系统

sample go/gin project structure.

只需一行代码，即可为任何 Gin API 启用 MCP 功能

A modern golang error handling package powered by GPT-3.

Fraud Detection using various GNN models

A multi-server application template

YourChatGPT is a versatile AI chatbot solution that harnesses the capabilities of the ChatGPT API. Crafted to simplify your journey, it enables you to create a tailored ChatGPT clone effortlessly.

A Federated Learning based architecture for training a PPO agent that learns to play Gin Rummy.

Generate OpenAPI 3 specifications for any Go web project via static analysis, with zero magic comments.

? Deploy and manage microservices on Kubernetes with Istio, features automated GitHub Actions workflows for CI/CD, advanced traffic routing, secure service communication, and observability tools like Prometheus and Kiali.

AKasha Whisper提供了一个统一的、用户友好的 API，用于集成多个 AI 模型并与之交互

Implement, test, and organize recent reseach of GNN-based methods. Enable lifecycle controlled with MLflow.

YouTube Subtitles Search: A Go-based web app that fetches and displays YouTube video transcripts. Built for learning Go and experimenting with AI/ML concepts. Features include transcript retrieval, display with timecodes, and a simple UI. Future plans include vector search and audio-to-text functionality.

可完全本地部署的离线物理大模型，深度集成私有知识库与向量检索（RAG），能够自动对 PDF、Markdown、Docx、HTML、JSON、XML 等多种文档格式进行切片并生成向量嵌入，通过 Qdrant 等向量数据库实现高效相似度检索，并利用 Ollama 驱动的本地 LLM 提供快速、上下文丰富的问答能力。

This web application enables users to interact with CSV data using AI models. Users can log in, view the parsed CSV data, and ask questions that are answered by AI models, integrating Google’s Gemini and Hugging Face's Tapas for data-driven responses.

FaceID API aims to create a backend infrastructure to allow user authentication by Face Recognition. The API receives a FRV (Face Representation Vector) from remote client and verifies if the given object match an existing FRV in the database, and so granting or denying access to the client.

this is a federated learning software with GFL made by zju-dai