Lists (1)
Stars
This repository is a paper digest of recent advances in collaborative / cooperative / multi-agent perception for V2I / V2V / V2X autonomous driving scenario.
科学上网，ss, ssr, v2ray, trojan, clash, clashr，翻墙机场推荐
A friendly python library for fuzzy logic reasoning
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
The repository details using ant colony optimization and genetic algorithms to optimize VRP for the Computational Intelligence course project at Habib University (Spring 2021)
An Open-Source Package for Knowledge Embedding (KE)
Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE
This repository contains datasets for network modeling simulated with OMNet++
An anonymized mobile traffic dataset published by Chen's team (National University of Defense Technology)
A dataset of network topology, including the nodes/edges features and traffic matrices.
Dataset generator for wireless mobile networks
Jamming Detection in IoT Wireless Networks using TinyML -- Code and Dataset
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…
This project contains scripts to generate datasets from 4G and 5G mobile networks. It comes packaged with the base ns-3 module along with additional third party ns-3 modules that are required to ge…
AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
kinds of reinforcement learning model by Pytorch
A toolkit for developing and comparing reinforcement learning algorithms.
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
This is the repository for the collection of Graph-based Deep Learning for Communication Networks.
A game theoretic approach to explain the output of any machine learning model.
A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs o…
Collection of Hyperdimensional Computing Projects