hyperion0706

MatIdentification

Electrical Engineering: A tool to identify topology and parameters of a distribution network in Matlab.

Graph-Convolutional-Network

Covering the basics of Graph Convolutional Network (GCN) and applying GCN to exchange rate forecasting problem.

graph-theory-with-python

Code from the Graph Theory with Python YouTube Series

IMPortantPytorchGeometricTutorial

Pytorch Geometric Tutorials

WWW20-Hands-on-Tutorial

Materials for DGL hands-on tutorial in WWW 2020 graph_new

awesome-courses

:books: List of awesome university courses for learning Computer Science!

Forecasting-of-Solar-Power-using-R

POD_data

Task2-QISKIT-Programming

cs-video-courses

List of Computer Science courses with video lectures.

ditto

DiTTo is a Distribution Transformation Tool that aims at providing an open source framework to convert various distribution systems modeling formats.

gcn

Implementation of Graph Convolutional Networks in TensorFlow

GCN_seismic_event_classification

Seismic event classification using GCN

geo-gcn

The official implementation of the SGCN architecture.

GNN_OPF_electricity_market

gnn-opf

GNNPapers

Must-read papers on graph neural networks (GNN)

Graph-Convolutional-Neural-Network-GCN

Graph_Deep_Decoder

machine-learning

Practical Full-Stack Machine Learning

Open-DSOPF

An Open-Source Optimal Power Flow Formulation: Integrating Pyomo & OpenDSS in Python

opendssexample

pandapower

Convenient Power System Modelling and Analysis based on PYPOWER and pandas

PINN_system_identification

pod-energy-comp

Presumed Open Data Energy Challenge

pytorch_geometric

Graph Neural Network Library for PyTorch

pytorch_geometric_temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

spektral

Graph Neural Networks with Keras and Tensorflow 2.

ssqueezepy

Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python

stochastic-optimization

One-week side project to play around stochastic optimization (how to take *good* decisions under uncertainty)