- Hong Kong SAR, China
- https://www.bj-yan.top/
- in/bingjie-yan-ba968118b
Highlights
Lists (21)
Sort Name ascending (A-Z)
🤖 agent
🎨 AIGC
🔱 attack & defence
😎 awesome list
📷 computational photography
📚 course
🗂 dataset
🏁 diffusion
🎈 federated learning
🌆 GUI
✨ inspiration
🎉 interest
📍 LLM
🌐 mcp
🏫 mlsys
🍱 multimodal
🧱 NeRF
📃 paper
💸 quantitative
🎴 template
🍱 wasm
Starred repositories
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
MemGen: Weaving Generative Latent Memory for Self-Evolving Agents
"AI-Trader: Can AI Beat the Market?" Live Trading Bench: https://ai4trade.ai Tech Report Link: https://arxiv.org/abs/2512.10971
Tongyi Deep Research, the Leading Open-source Deep Research Agent
[Survey] A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
## AI医院: Multi-Agent 医学智能体 与患者进行多轮对话,提出相关和探索性的问题,推荐适当的医学检查,并在收集足够的信息后做出诊断。设置检查员,他们专门负责与患者互动并提供相关的医学检查结果,确保医生能够获得患者必要的客观信息以做出准确诊断。此外,主治医生负责在整个会话后评估医生的表现。 模拟患者与多名医生之间的互动,包括体检结果的收集和最终诊断。
Reference PyTorch implementation and models for DINOv3
Vision Foundation Models for Medical AI, including RETFound, DINOv2, DINOv3
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the si…
Official codes for FNBench: Benchmarking Robust Federated Learning against Noisy Labels
"AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework"
Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey
Latest Advances on Federated LLM Learning
分享一些好用的 Dify DSL 工作流程,自用、学习两相宜。 Sharing some Dify workflows.
No fortress, purely open ground. OpenManus is Coming.
This is the formal code implementation of the CVPR 2024 paper 'Traceable Federated Continual Learning'.
FlashMLA: Efficient Multi-head Latent Attention Kernels
[CVPR2024] FedHCA^2: Towards Hetero-Client Federated Multi-Task Learning