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recommend-system-tf2.0

原理解析及代码实战，推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴，欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues，也可加文末的联系方式向我询问！

recommenders

Best Practices on Recommendation Systems

recommendersystems

recommendersystems-1

推荐系统

recommendsystempractice

《推荐系统实践》代码实现

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

resource-allocation-using-deeprl

Deep Reinforcement Learning Based Dynamic Resource Allocation in 5G Ultra-Dense Networks

resourceallocationdelayedcsi

Spectrum and power allocation for vehicular communications with delayed CSI feedback, IEEE Wireless Communications Letters

resourceallocationreinforcementlearning

intial version

resourceallocationv2x

Resource allocation for D2D-enabled vehicular communications, IEEE Transactions on Communications

resourceallocationv2xgraph

Graph-based resource sharing in vehicular communication, IEEE Transactions on Wireless Communications

resources-allocation-in-the-edge-computing-environment-using-reinforcement-learning

Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers

ris-codes-collection

A Collection Contains the Codes for RIS(IRS) Papers.

rl_ardrone

Autonomous Navigation of UAV using Reinforcement Learning algorithms.

rnn-time-series-anomaly-detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

scinet

The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)

snarm-uav-learning

The Python code for simultaneous navigation and radio mapping for cellular-connected UAV with deep reinforcement learning

snarm-uav-learning-1

song-popularity-prediction

Song Popularity Prediction Using Machine Learning Algorithms

spacetimeformer

Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."

stfgnn

Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)

stgcn

The PyTorch version of STGCN.

stgcn-pytorch

🚗 Implementation of spatio-temporal graph convolutional network with PyTorch

stgnn-for-covid-in-korea

Spatio-temporal graph neural network for predicting COVID-19 new cases in Korea.

stsgcn

AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting

sumo-rl

Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gym, PettingZoo, and popular RL libraries.

sumo-traffic-grids

Simulating traffic on grids using SUMO and Python

sumo-v2x-communication-research-platooning-and-cim

Traffic simulation project for dissertation

sumo_rl

利用sumo作为仿真平台，采用强化学习中的DQN进行交通信号灯相位时间的调整

t-gcn

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method