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/100-Days-Of-ML-Code
100 Days of ML Coding
How-About/ASTGCN-r-pytorch
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version
How-About/DCRNN
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
How-About/DDLO
Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks
How-About/Deep-Reinforcement-Learning-for-Intelligent-reflecting-Surfaces
How-About/Deep-Reinforcement-Learning-for-Resource-Allocation-in-V2V-Communication
How-About/DeepLearningForTSF
深度学习以进行时间序列预测
How-About/DIRAL
Distributed Resource Allocation with Multi-Agent Deep Reinforcement Learning for 5G-V2V Communication
How-About/Dual_Stage_Attention_RNN
DARNN
How-About/easy-rl
强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/
How-About/EdgeCachingRL
How-About/GCN-tffc
比较 TCN、GRU、GCN、TGCN、 TCN+GCN 在 交通流量预测方面的准确率效果。
How-About/GradNorm
This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018
How-About/MACR
[KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System
How-About/MAR-BGCN_GPU_pytorch
implement the MAR-BGCN by pytorch with gpu
How-About/moddpg
This is the code of the moddpg algorithm for UAV-assisted data collection and energy harvesting.
How-About/Music-Popularity-Predictor
An implementation of Naïve Bayes Classifier algorithm (No Library Used, Raw Code) to learn and predict popularity of a music. Gaussian distribution has been used.
How-About/Pytorch-Transfomer
My implementation of the transformer architecture from the Attention is All you need paper applied to time series.
How-About/RNN-Time-series-Anomaly-Detection
RNN based Time-series Anomaly detector model implemented in Pytorch.
How-About/song-popularity-prediction
Song Popularity Prediction Using Machine Learning Algorithms
How-About/STFGNN
Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)
How-About/STGNN-for-Covid-in-Korea
Spatio-temporal graph neural network for predicting COVID-19 new cases in Korea.
How-About/sumo-traffic-grids
Simulating traffic on grids using SUMO and Python
How-About/Time-Series-Analysis-Tutorial
时间序列分析教程
How-About/Transformer-Time-Series-Forecasting
How-About/UAV-assisted-MEC
How-About/UAV-DDPG
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
How-About/UAV-MCTS
This code is for the paper titled Path Planning for the Dynamic UAV-aided Wireless Systems Using Monte Carlo Tree Search, which is under review for Transactions on Vehicular Technology (Correspondence).
How-About/UAV-Navigation-Learning
How-About/UAV-RIS-SCA