LLM驱动的 A/H/美股智能分析器：多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送，零成本定时运行，纯白嫖. LLM-powered stock analysis system for A/H/US markets.

一个开箱即用的、跨平台的影视聚合播放站

yshop意象点餐(扫码点餐)系统，在线点餐(外卖与自取)小程序模式，支持多门店模式，支持saas多租户模式，基础技术Java17+sprringboot3+vue3+uniapp(vue3)（支持H5、微信小程序） 采用当前流行技术组合的前后端分离点餐系统： SpringBoot3、Spring Security OAuth2、MybatisPlus、SpringSecurity、jwt、…

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

A free and open source, self hosted Ai based live meeting note taker and minutes summary generator that can completely run in your Local device (Mac OS and windows OS Support added. Working on addi…

Low-code platform

这是基于vue-vben-admin 模板适用于abp vNext的前端管理项目

.NET Core + Vue Elearning

🔥🔥🔥AI-driven database tool and SQL client, The hottest GUI client, supporting MySQL, Oracle, PostgreSQL, DB2, SQL Server, DB2, SQLite, H2, ClickHouse, and more.

(已支持sqlsugar).NetCore、.Net6、Vue2、Vue3、Vite、TypeScript、Element plus+uniapp前后端分离，全自动生成代码；支持移动端(ios/android/h5/微信小程序。http://www.volcore.xyz/

Lets make video diffusion practical!

The world's most flexible commerce platform.

interview-coder-withoupaywall-opensource

AI模型接口管理与分发系统，支持将多种大模型转为统一格式调用，支持OpenAI、Claude等格式，可供个人或者企业内部管理与分发渠道使用，本项目基于One API二次开发。🍥 The next-generation LLM gateway and AI asset management system supports multiple languages.

A powerful tool for creating fine-tuning datasets for LLM

A high-quality tool for convert PDF to Markdown and JSON.一站式开源高质量数据提取工具，将PDF转换成Markdown和JSON格式。

One API for plugins and datasets, one interface for prompt engineering and visual operation, all for creating powerful AI applications.

🤖 Open-source GenBI AI Agent that empowers data-driven teams to chat with their data to generate Text-to-SQL, charts, spreadsheets, reports, dashboards and BI. 📈📊📋🧑‍💻

Chat-based SQL Client and Editor for the next decade

.NET implementation of the Model Context Protocol (MCP)

Open-source Next.js template for building apps that are fully generated by AI. By E2B.

No fortress, purely open ground. OpenManus is Coming.

s1: Simple test-time scaling