bigGoing123's Stars
tx7do/kratos-admin
go admin: backend base on: go-kratos; frontend base on vue3, antdv, typescript, vben-admin
charleshsc/CommFormer
ICLR'2024: Learning Multi-Agent Communication from Graph Modeling Perspective
cityflow-project/CityFlow
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
danmuking/DiTing-Go
欢迎来到 DiTing!这是一个简单、轻量级的即时通讯(IM)开源项目,采用 Go 编写,严格遵守互联网开发标准。致力于为初学者提供一个友好、易于上手的 IM 解决方案,让你可以轻松入门并开始构建自己的即时通讯应用。
jidiai/GRF_MARL
Google Research Football MARL Benchmark and Research Toolkit
devindeng94/LLM-SMAC
A New Approach to Solving SMAC Task: Generating Decision Tree Code from Large Language Models
taichengguo/LLM_MultiAgents_Survey_Papers
Large Language Model based Multi-Agents: A Survey of Progress and Challenges
aliliin/kratos-shop
kratos 框架微服务商城
mli/paper-reading
深度学习经典、新论文逐段精读
TimeBreaker/MARL-resources-collection
A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
PKU-RL/I2C
marlbenchmark/on-policy
This is the official implementation of Multi-Agent PPO (MAPPO).
utiasDSL/gym-pybullet-drones
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
PKU-MARL/Multi-Agent-Transformer
GrowingGit/GitHub-Chinese-Top-Charts
:cn: GitHub中文排行榜,各语言分设「软件 | 资料」榜单,精准定位中文好项目。各取所需,高效学习。
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
CORE-Robotics-Lab/MAGIC
Public implementation of "Multi-Agent Graph-Attention Communication and Teaming" from AAMAS'21
efc-robot/MultiVehicleEnv
hssy252/sky
pytorch/vision
Datasets, Transforms and Models specific to Computer Vision
LXXXXR/CACOM
Code for "Context-aware Communication for Multi-agent Reinforcement Learning"
nsidn98/InforMARL
Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
Lizhi-sjtu/DRL-code-pytorch
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
zyh1999/CADP
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
shariqiqbal2810/MAAC
Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019
xxlllq/system_architect
:100: 2025年系统架构设计师(软考高级)备考资料。
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
agi-brain/xuance
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
justjavac/free-programming-books-zh_CN
:books: 免费的计算机编程类中文书籍,欢迎投稿
d2l-ai/d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。