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Renmin University of China
- beijing, China
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14:07
(UTC +08:00)
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为 Agent Swarm 打造的 IDE ,支持 Kimi-2.5, GLM-4.7 等(即使不像 K2.5 那样经过强化学习的模型也能用)An IDE built for Agent Swarms, supporting Kimi-2.5, GLM-4.7, and more (compatible with models even without RL-reinforcement li…
Masked Depth Modeling for Spatial Perception
Claude Code skill that removes signs of AI-generated writing from text
Complete Claude Code configuration collection - agents, skills, hooks, commands, rules, MCPs. Battle-tested configs from an Anthropic hackathon winner.
AI-Powered Photos App for the Decentralized Web 🌈💎✨
Mesh4D: 4D Mesh Reconstruction and Tracking from Monocular Video
ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups
A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows
2021年最新总结,推荐工程师合适读本,计算机科学,软件技术,创业,思想类,数学类,人物传记书籍
Official Project Page for Deep Delta Learning (https://huggingface.co/papers/2601.00417)
An Agentic Framework for Reflective PowerPoint Generation
[NeurIPS 2025 D&B] Open-source Multi-agent Poster Generation from Papers
Official implementation of Auto-Slides: Automatic Academic Presentation Generation with Multi-Agent Collaboration
A real2sim evaluation framework for generalist policies
"Paper2Slides: From Paper to Presentation in One Click"
利用claude code agent框架一步一步实现deep research!很强大很简单的skills。我一步一步介绍实现deep research,因为deep research就是agent框架第一应用,对比一下各个框架实现这个deep research,就知道哪个框架才是真厉害。
Official Torch/CUDA Implementation of Faithful Contouring
Spelling, grammar and style checking on LaTeX documents
一个基于nano banana pro🍌的原生AI PPT生成应用,迈向真正的"Vibe PPT"; 支持上传任意模板图片;上传任意素材&智能解析;一句话/大纲/页面描述自动生成PPT;口头修改指定区域、一键导出可编辑ppt - An AI-native PPT generator based on nano banana pro🍌
Qwen-Image-Layered: Layered Decomposition for Inherent Editablity
Code repository for the paper "Inferring Compositional 4D Scenes without Ever Seeing One".
HY-World 1.5: A Systematic Framework for Interactive World Modeling with Real-Time Latency and Geometric Consistency
RealSee3D: A multi-view RGB-D dataset combining real-world captures and procedurally generated scenes, with extensible annotations for diverse 3D vision research.
Native and Compact Structured Latents for 3D Generation