You have to believe in yourself,That's the secret of success
Repositories
GTyingzi/BigDATA
java基础、后端、大数据的面试八股
GTyingzi/Deep-Learning-Specialization-on-Coursera
吴恩达-深度学习
GTyingzi/spring-ai-extensions
spring ai alibaba 扩展功能
GTyingzi/spring-ai-alibaba-examples
Examples demonstrating usage of Spring AI Alibaba
GTyingzi/spring-ai
An Application Framework for AI Engineering
GTyingzi/geektime-docs
👏极客时间 pdf & markdown 文档
GTyingzi/indie-hacker-tools
收录独立开发者出海技术栈和工具
GTyingzi/shared-session
Codex App skill for coordinating shared frontend/backend handoff sessions
GTyingzi/DataHouse-Project
This is an e-commerce warehouse project
GTyingzi/SpringAI-Alibaba-Quickstart
GTyingzi/openclaw-subagent-data-analyst
GTyingzi/NanoBanana-PPT-Skills
NanoBanana PPT Skills 基于 AI 自动生成高质量 PPT 图片和视频的强大工具，支持智能转场和交互式播放
GTyingzi/mcp-gateway-example
GTyingzi/dify
Production-ready platform for agentic workflow development.
GTyingzi/spring-ai-alibaba
Agentic AI Framework for Java Developers
GTyingzi/website
Source code of Spring AI Alibaba official website. 📚
GTyingzi/GTyingzi
GTyingzi/skills
Public repository for Agent Skills
GTyingzi/langfuse-examples
Examples on how to deploy and use Langfuse
GTyingzi/agentscope-java
AgentScope Java: Agent-Oriented Programming for Building LLM Applications
GTyingzi/Agriculture_KnowledgeGraph
农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策
GTyingzi/Chinese-Medical-Entity_Recognition
GTyingzi/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
GTyingzi/deepresearch
GTyingzi/DB-GPT
Revolutionizing Database Interactions with Private LLM Technology
GTyingzi/agentscope
AgentScope: Agent-Oriented Programming for Building LLM Applications
GTyingzi/spec-kit
💫 Toolkit to help you get started with Spec-Driven Development
GTyingzi/mcp-annotations
Incubating annotation support for MCP. Built on top of the MCP Java SDK: https://github.com/modelcontextprotocol/java-sdk
GTyingzi/claude-code-router
Use Claude Code as the foundation for coding infrastructure, allowing you to decide how to interact with the model while enjoying updates from Anthropic.