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The definitive resource for Agent Skills - modular capabilities revolutionizing AI agent architecture
CowAgent是基于大模型的超级AI助理，能主动思考和任务规划、访问操作系统和外部资源、创造和执行Skills、拥有长期记忆并不断成长，比OpenClaw更轻量和便捷。同时支持微信、飞书、钉钉、企微、QQ、公众号、网页等接入，可选择OpenAI/Claude/Gemini/DeepSeek/ Qwen/GLM/Kimi/LinkAI，能处理文本、语音、图片和文件，可快速搭建个人AI助理和企…
UavNetSim: A Python-based simulation platform for designing and testing communication protocols and control algorithms in UAV swarm.
An official implementation of "Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition" in PyTorch. (CVPR 2025)
A Network Arena for Benchmarking AI Agents on Network Troubleshooting
SDN-based Federated Learning framework for IoT–satellite networks. Combines SDN traffic regulation and OpenMined federated learning framework to classify and block malicious flows, achieving high a…
docker一键私有部署 zerotier 构建私有plant moon 突破50台设备限制
Multi-UAV Electronic Warfare Decision Algorithm with Paper-level Performance
UAV Network Communication Experimental dataset is a collection of network traffic captured from a wireless network used by unmanned aerial vehicles (UAVs) during a simulated search and rescue missi…
Cooperative Attack Algorithm for UAVs is focusing on the cooperative attack problem of UAV swarm system with flight time and attack angle constraints. It includes an efficient attack framework for …
Reproduction of the paper on unmanned aerial vehicle interception
Tien Kung-Lab: Direct IsaacLab Workflow for Legged Robots
Modularized Implementation of Deep RL Algorithms in PyTorch
Investigated reinforcement learning (RL) algorithms using the Franka Emika Panda arm in PyBullet, achieving 100% success in reaching tasks. SAC improved pushing performance to 95%, while DDPG led i…
Datasets for data-driven deep reinforcement learning with PyBullet environments
UAV Flight Simulator for Reinforcement Learning Research
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
cnetboy / hypatia
Forked from snkas/hypatiaLow earth orbit (LEO) satellite network simulation framework.
1) proxy: LB,DNS,Socks. 2) k8s: CRD and Controllers. 3) sdn: TCP/IP Stack + Flow Tables.
SDN-Based Service Function Chaining Framework for Kubernetes Cluster Using OVS
A MATLAB implementation of UAV square formation control using artificial potential fields, featuring autonomous organization, collision avoidance, and high-quality 2D/3D visualizations.
A SDN Controller monitoring emulation environment on K8s cluster.