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Official code space for "SWE-Dev: Evaluating and Training Autonomous Feature-Driven Software Development"
告别加班,拥抱高效! 一款让开发者爱不释手的现代化中后台管理系统模板。基于 Vue 3 + TypeScript + Naive UI 最新技术栈,采用 Bun + Vite 双引擎驱动实现毫秒级热更新,让你的开发速度飞起来!内置 30+ 精心打磨的业务组件和 30+ 完整演示页面,拒绝重复造轮子,复制粘贴即可使用。配备完整 RBAC 权限体系、7个实用自定义指令和响应式设计,从个人项目到企…
[NeurIPS 2025 (D&B)] Rethinking Evaluation of Infrared Small Target Detection
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
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开箱即用。基于 AI 完整保留排版的 PDF、 PPTX 、 DOCX 、 EXCEL 、 TXT 、 HTML文档全文双语翻译
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A lightweight and modular image processing pipeline written in Go. Includes utilities for cropping, resizing, watermarking, format conversion, and more.
小而美的Vue3异步处理解决方案,让复杂的异步逻辑变得简单优雅,让重复的样板代码成为历史
https://dev.to/answeryt/the-demo-spell-and-production-dilemma-of-ai-agents-how-i-built-a-self-learning-agent-system-4okk
Mirix is a multi-agent personal assistant designed to track on-screen activities and answer user questions intelligently. By capturing real-time visual data and consolidating it into structured mem…
Nexent is a zero-code platform for auto-generating agents — no orchestration, no complex drag-and-drop required. Nexent also offers powerful capabilities for agent running control, data processing …
全语言制品仓库,涵盖npm、Maven、PyPi、Docker、Gradle、SBT、Cocoapods、Swift、RPM、Debian、PHP、Go、Pub、Ivy、NuGet、Conda、Cargo、Conan、Yarn、GitLFS、Helm、OHPM等主流工具,涵盖Huggingface 等主流AI模型仓库的代理与同步
a comprehensive and critical synthesis of the emerging role of GenAI across the full autonomous driving stack
F²-Gen - A open source Financial Fraud Detection Data Generator Web Application
( TPAMI2022 / CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations
Klavis AI (YC X25): MCP integration platforms that let AI agents use tools reliably at any scale
Skywork-R1V is an advanced multimodal AI model series developed by Skywork AI (Kunlun Inc.), specializing in vision-language reasoning.
Easiest and laziest way for building multi-agent LLMs applications.