Pinned Repositories
awesome-digital-twin
deep_text_matching
implementation several deep text match (text similarly) models for keras . cdssm, arc-ii,match_pyramid, mvlstm ,esim, drcn ,bimpm, bert, albert, raberta
heating-RL-agent
A Pytorch DQN and DDPG implementation for a smart home energy management system under varying electricity price.
LotteryPredict
TensorFlow实战,使用LSTM预测彩票
Photovoltaic-panels-energy-prediction
A dataset on the energy produced by a single inverter of a Photovoltaic panel is provided (at the hour precision) together with weather variables of that time with the prediction of a Digital Twin in Modelica language and the shadow correction coefficient
Photovoltaic_Fault_Detector
Model Photovoltaic Fault Detector based in model detector YOLOv.3, this repository contains four detector model with their weights and the explanation of how to use these models.
RSPapers
Must-read papers on Recommender System.
sunquanhai
Config files for my GitHub profile.
sunquanhai's Repositories
sunquanhai/awesome-digital-twin
sunquanhai/deep_text_matching
implementation several deep text match (text similarly) models for keras . cdssm, arc-ii,match_pyramid, mvlstm ,esim, drcn ,bimpm, bert, albert, raberta
sunquanhai/heating-RL-agent
A Pytorch DQN and DDPG implementation for a smart home energy management system under varying electricity price.
sunquanhai/LotteryPredict
TensorFlow实战,使用LSTM预测彩票
sunquanhai/Photovoltaic-panels-energy-prediction
A dataset on the energy produced by a single inverter of a Photovoltaic panel is provided (at the hour precision) together with weather variables of that time with the prediction of a Digital Twin in Modelica language and the shadow correction coefficient
sunquanhai/Photovoltaic_Fault_Detector
Model Photovoltaic Fault Detector based in model detector YOLOv.3, this repository contains four detector model with their weights and the explanation of how to use these models.
sunquanhai/RSPapers
Must-read papers on Recommender System.
sunquanhai/sunquanhai
Config files for my GitHub profile.