ModelScope-Agent: An agent framework connecting models in ModelScope with the world
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Updated
Jul 16, 2024 - Python
ModelScope-Agent: An agent framework connecting models in ModelScope with the world
Large Language Model based Multi-Agents: A Survey of Progress and Challenges
Open-source framework to make AI agents' team collaboration as effective as human collaboration.
ChocoBuilder (Chocolate Factory) is a cutting-edge LLM toolkit designed to empower you in creating your very own AI assistant.Chocolate Factory 是一款开源的 LLM 应用开发框架,旨在帮助您轻松打造强大的软件开发 SDLC + LLM 生成助手。无论您是需要生成前端页面、后端 API、SQL 图表,还是测试用例数据,Chocolate Factory 都能满足您的需求。
🔧 Repair JSON!Solution for JSON Anomalies from LLMs.
MAGNet: Multi-agents control using Graph Neural Networks
Multi-Agents & Plugins repo for DB-GPT, Can complete various tasks around databases.
Dynamic Collaborative Agents for Software Development
🌟 Revolutionize Your Operations with One Sentence Automation: Utilizing large language models and Multi-Agents to generate operational copy, images, and videos with one-line requirements.
PyTorch agents and tools for (Deep) Reinforcement Learning
An Agent-Based Financial Platform. See how evolve agents in a realistic double auction order book
The AdLeap-MAS project proposes a new framework for implementing and simulating Ad-hoc reasoning environments. Built 100% in Python using the Open-AI Gym as its basis, we propose a component-based architecture to enable quick implementations to perform multi-agents systems experiments.
NeurIPS workshop : We examine the risk of powerful malignant intelligent actors spreading their influence over networks of agents with varying intelligence and motivations.
A framework that uses multi-agents to enable users to perform a systematic data science pipeline with just two inputs.
Operation X(twitter、reddit、bilibili、PH) use Multi-Agents automatically
Interprets multi-agent knowledge-based programs to solve puzzles like the Muddy Children Problem
My solution to Udacity Deep Reinforcement Learning Nanodegree 's Project 3 - Collaboration and Competition
containing all kinds of algorithms about multi-agents or multi-vehicles in various levels, including communication level, prediction level, task level, plan level and control level.
Multiplayer Game, Security, DF Service Implementation, Genetic Algorithm Implementation, Multi-Agent Systems Enhanced With Q-Learning Implementation For Improved Decision-Making.
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