729952902

729952902's Stars

• sotopia-lab/sotopia-pi

  Sotopia-π: Interactive Learning of Socially Intelligent Language Agents (ACL 2024)

  Language:Python481

• sotopia-lab/awesome-social-agents

  A collection of works that investigate social agents, simulations and their real-world impact in text, embodied, and robotics contexts.

  Language:TypeScript6023

• MoreAgentsIsAllYouNeed/AgentForest

  We present the first systematic study on the scaling property of raw agents instantiated by LLMs. We find that performance scales with the increase in the number of agents, using the simple(st) way of sampling and voting. Our method is called Agent Forest, as a tribute to the classic Random Forest.

  Language:Python8310

• Skytliang/Multi-Agents-Debate

  MAD: The first work to explore Multi-Agent Debate with Large Language Models :D

  Language:Python26328

• microsoft/turing-experiments

  Code for "Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies"

  Language:Jupyter Notebook266

• gersteinlab/MedAgents

  Language:Python21328

• taichengguo/LLM_MultiAgents_Survey_Papers

  Large Language Model based Multi-Agents: A Survey of Progress and Challenges

  60734

• amusi/CVPR2024-Papers-with-Code

  CVPR 2024 论文和开源项目合集

  18.1k2.6k

• rongweihe/CPPNotes

  【C++ 面试 + C++ 学习指南】 一份涵盖大部分 C++ 程序员所需要掌握的核心知识。

  Language:C++1.2k135

• markparticle/WebServer

  C++ Linux WebServer服务器

  Language:C++3.6k734

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python55.5k5.7k

• minioreo/chineseWorkDay

  基于阿里云Serverless函数计算框架实现的工作日判断服务，工作日（正常工作日+法定节假日调休形成的工作日），节假日（包含法定节假日+调休+正常周末）。可部署于阿里云函数计算。

  Language:Java6

• open-mmlab/mmtracking

  OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.

  Language:Python3.5k594

• junliang230/video_object_detection_paper

  update some video object detection papers (视频目标检测论文和代码整理)

  1047