The official gpt4free repository | various collection of powerful language models

[IJCAI'18] Spatio-Temporal Graph Convolutional Networks

AlphaPose + ST-GCN + SORT.

Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020

从pcap获取流的基本信息工具

This Python-based simulation platform can realistically model various components of the UAV network, including the network layer, MAC layer and physical layer, as well as the UAV mobility model, en…

Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting

无人机集群编队飞行

🛸 An implementation of multi-agent flocking formation control with specific formations that can follow a target without collision and can avoid obstacles.

There is five robot in a formation who is doing its task. They can communicate with each other by a communication topology and correct their position. And they realized obstacle avoidance by using …

Network traffic data pipeline for real-time predictions and building datasets for deep neural networks

An implementation of Self-Organizing TDMA (STDMA) for VANETs in NS-3

NS3-3.27 implementation code for the proposal of the paper entitled "Adaptive Hello Interval in FANET Routing Protocols for Green UAVs"

多智能体均匀多边形编队、追逐与合围。

formation control of a swarm of UAVs in simulation

A leader-follower formation control using deep reinforcement learning environment, In which every agent can learn to follow the leader agent by keeping track of a certain distance to that leader, a…

Real-Time Network Traffic Volume Prediction using time series and recurrent neural network

A group project to implement multi-robot formation control

An ns-3 module for simulations of power line communication networks

利用Airsim做无人机编队仿真，持续更新中。

Code for "Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement Learning" article published at WCNC 2021.

Multi agent scalable reinforcement learning for formation control with collision avoidance

Multi objective optimization-based routing algorithm for SDN networks

This repository provides the python implementation for the paper "Decentralized Multi-Agent Formation Control via Deep Reinforcement Learning"

Implementation of a distance-based formation control algorithm based on 1st order gradient descent control

Simulation of 802.11 DCF MAC protocol and 802.11 with RTS/CTS

无人机编队重构