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Shanghai Jiao Tong University
- Shanghai, China
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13:23
(UTC +08:00) - shaozhang.info
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Starred repositories
A one-stop, open-source, high-quality data extraction tool, supports PDF/webpage/e-book extraction.一站式开源高质量数据提取工具,支持PDF/网页/多格式电子书提取。
A Survey on Large Language Model-Based Game Agents
Commonly-used Cooperative Multi-agent Environments Installation, Convenient Wrappers, and VectorEnv Implementation with PettingZoo (and Gymnasium) Compatibility.
This repository is the official implementation of ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination. Pre-trained Agent Zoo: https://huggingface.co/Leoxxxxh/ZSC-Ev…
100% free and interactive Python course for beginners
Skeleton: A Dead Simple, Responsive Boilerplate for Mobile-Friendly Development
A programming framework for agentic AI 🤖
Exploring techniques to generate diverse conventions in multi-agent settings
LlamaIndex is a data framework for your LLM applications
PDF parsing toolkit for preparing academic text corpus
A MIT-licensed, deployable starter kit for building and customizing your own version of AI town - a virtual town where AI characters live, chat and socialize.
AgentSims is an easy-to-use infrastructure for researchers from all disciplines to test the specific capacities they are interested in.
Generative Agents: Interactive Simulacra of Human Behavior
A distributed GPU-centric experience replay system for large AI models.
[ICLR 2024] Source codes for the paper "Building Cooperative Embodied Agents Modularly with Large Language Models"
An attempt to build a working, locally-running cheap version of Generative Agents: Interactive Simulacra of Human Behavior
<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
Interactive LLM Powered NPCs, is an open-source project that completely transforms your interaction with non-player characters (NPCs) in any game! 🎮🤖🚀
This is a repository for Hidden-utility Self-Play.
Code and datasets for paper "K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization" in WSDM-2024
Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)