Stars
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
STEP-GUI: The top GUI agent solution in the galaxy. Developed by the StepFun-GELab team and powered by StepFun’s cutting-edge research capabilities.
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3, Qwen3-MoE, DeepSeek-R1, GLM4.5, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Llava, …
Angle of arrival and distance estimation on a compact and smart UWB sensor node
Official implementation of radarODE and radarODE-MTL
Official implementation of CFT-RFcardi
复现论文"Contactless Electrocardiogram Monitoring With Millimeter Wave Radar"
This is the code repo for our paper "Benchmarking Retrieval-Augmented Generation in Multi-Modal Contexts".
Implementation of EMNLP Oral Paper: InfoGain-RAG: Boosting Retrieval-Augmented Generation through Document Information Gain-based Reranking and Filtering
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
slime is an LLM post-training framework for RL Scaling.
We are committed to the open-sourcing quantitative knowledge, aiming to bridge the information gap between the domestic and international quantitative finance industries. 我们致力于量化知识的开源与汉化，打破国内外量化金融行…
verl-agent is an extension of veRL, designed for training LLM/VLM agents via RL. verl-agent is also the official code for paper "Group-in-Group Policy Optimization for LLM Agent Training"
基于多智能体LLM的中文金融交易框架 - TradingAgents中文增强版
TradingAgents: Multi-Agents LLM Financial Trading Framework
An open-source AI agent that brings the power of Gemini directly into your terminal.
最少使用 3090 即可训练自己的比特大脑（miniLLM）🧠（进行中）. Train your own BitBrain(A mini LLM) with just an RTX 3090 minimum.
"AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework"
🏦 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）
主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题
No fortress, purely open ground. OpenManus is Coming.
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation