JinghaoW
Jinghao Wang PhD Candidate Department of electric energy Faculty of Information Technology and Electrical Engineering NTNU: Norwegian University of Science
NTNU: Norwegian University of Science and Technology
Pinned Repositories
Applied_Causal_Inference_Course
This course is an overview of applied causal inference.
CityLearn
Official reinforcement learning environment for demand response and load shaping
CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
deeplearningbook-chinese
Deep Learning Book Chinese Translation
English-Writing
Enhance Your English Writing
GENDIS
Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.
gnn-powerflow
Graph Neural Network application in predicting AC Power Flow calculation. Developed with Pytorch Geometric framework. My Master Thesis at Eindhoven University of Technology
JERICHO-E-usage
The JERICHO-E-usage dataset including code for compilation. The dataset includes time series of useful energy consumption patterns for energy system modeling. The time series data covers 38 NUTS2 regions in germany and has an hourly resolution. The dataset distinguished between four sectors - the residential, the industrial, the commerce, and the mobility sectors. Useful energy types comprise space heating, warm water, process heating, space cooling, process cooling, mechanical energy, information and communication technology, and lighting.
Latex
LSTM_encoder_decoder
Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data
JinghaoW's Repositories
JinghaoW/Applied_Causal_Inference_Course
This course is an overview of applied causal inference.
JinghaoW/CityLearn
Official reinforcement learning environment for demand response and load shaping
JinghaoW/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
JinghaoW/deeplearningbook-chinese
Deep Learning Book Chinese Translation
JinghaoW/English-Writing
Enhance Your English Writing
JinghaoW/GENDIS
Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.
JinghaoW/gnn-powerflow
Graph Neural Network application in predicting AC Power Flow calculation. Developed with Pytorch Geometric framework. My Master Thesis at Eindhoven University of Technology
JinghaoW/JERICHO-E-usage
The JERICHO-E-usage dataset including code for compilation. The dataset includes time series of useful energy consumption patterns for energy system modeling. The time series data covers 38 NUTS2 regions in germany and has an hourly resolution. The dataset distinguished between four sectors - the residential, the industrial, the commerce, and the mobility sectors. Useful energy types comprise space heating, warm water, process heating, space cooling, process cooling, mechanical energy, information and communication technology, and lighting.
JinghaoW/Latex
JinghaoW/LSTM_encoder_decoder
Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data
JinghaoW/Machine_Learning_in_the_Industry_4.0_Seminar_SS2020.FAU
Identifying a Trial Population for Clinical Studies on Diabetes Drug Testing with Neural Networks
JinghaoW/mermaid
Generation of diagram and flowchart from text in a similar manner as markdown
JinghaoW/minisom
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
JinghaoW/MyBooks
my books
JinghaoW/Neur2SP
Neur2SP: Neural Two-Stage Stochastic Programming
JinghaoW/RUL-Net
Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine
JinghaoW/shap
A game theoretic approach to explain the output of any machine learning model.
JinghaoW/vedo
A python module for scientific analysis of 3D data