Pinned Repositories
100-Days-Of-ML-Code
100 Days of ML Coding
ACClip-Pytorch
The PyTorch implementation of ICLR2020 submission: Why ADAM Beats SGD for Attention Models (https://openreview.net/pdf?id=SJx37TEtDH)
Adan
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
ADJSCC
adaptive/attention deep joint source channel coding
ailearning
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Air_Pollution_Forcast_Beijing
基于Keras的LSTM多变量时间序列预测
ARIMA
Simple python example on how to use ARIMA models to analyze and predict time series.
ARIMA-And-Seasonal-ARIMA
ARIMA-LSTM-hybrid-corrcoef-predict
Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
AST
Adversarial Sparse Transformer for Time Series Forecasting
How-About's Repositories
How-About/ACClip-Pytorch
The PyTorch implementation of ICLR2020 submission: Why ADAM Beats SGD for Attention Models (https://openreview.net/pdf?id=SJx37TEtDH)
How-About/AutomaticWeightedLoss
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning
How-About/Cache-replacement-by-RL
Cache replacement Algorithm by Actor-Critic based RL
How-About/CCN
Machine-Learning based Energy-Efficient Content Caching in IoT
How-About/ConvTransformerTimeSeries
Convolutional Transformer for time series
How-About/Deep-Learning-for-Recommendation-Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
How-About/deepglo
This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the paper.
How-About/DRL_UAV_CellularNet
Simulator developed for the mobility management of UAV base stations project featuring A3C
How-About/hello-world
How-About/IRS-continuous
Source code for "Intelligent Reflecting Surface Operation under Predictable Receiver Mobility: A Continuous Time Propagation Model" by Bho Matthiesen, Emil Björnson, Elisabeth De Carvalho, and Petar Popovski published in IEEE Wireless Communications Letters
How-About/LSTNet
How-About/LSTNet_Pytorch
Update Code for Modeling Long and Short-Term Temporal Patterns with Deep Neural Networks.(https://arxiv.org/abs/1703.07015)
How-About/Multiple-UAV-Trajectory-and-Power-Control
Simulation and documentations of Multiple UAV TPC optimization
How-About/Paper-with-Code-of-Wireless-communication-Based-on-DL
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
How-About/pygcn
Graph Convolutional Networks in PyTorch
How-About/RecommenderSystems
How-About/ResourceAllocationDelayedCSI
Spectrum and power allocation for vehicular communications with delayed CSI feedback, IEEE Wireless Communications Letters
How-About/rl_ardrone
Autonomous Navigation of UAV using Reinforcement Learning algorithms.
How-About/SNARM-UAV-Learning
The Python code for simultaneous navigation and radio mapping for cellular-connected UAV with deep reinforcement learning
How-About/STSGCN
AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting
How-About/temporal_fusion_transformer_pytorch
How-About/tensorflow_practice
tensorflow实战练习,包括强化学习、推荐系统、nlp等
How-About/Time-Series-ARIMA-XGBOOST-RNN
Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN
How-About/TrafficFlowForecasting
Some TrafficFlowForecasting Solutions(交通流量预测解决方案)
How-About/Transformer_Time_Series
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)
How-About/UAV-MEC-DRL
How-About/UAV-RIS-DRL
How-About/UAV_Coverage
2020 Summer Research with professor Esra Kadioglu Urtis at Macalester College
How-About/UAV_RL
How-About/V2X
Autonomous Intersection Management in SUMO traffic simulator achieved with Python and TraCI libraries