Keiv4n

Keiv4n's Stars

• EPFL-IMOS/PEGNN_SS

  Code and Data for "Physics-Enhanced Graph Neural Networks For Soft Sensing in Industrial Internet of Things" (IEEE IoTJ)

  Language:Python41

• xiyunfu/DHN-simulation

  Build for semester project - District heating network simulaiton

  Language:Jupyter Notebook1

• rodrigo-pena/graph-learning

  Language:Jupyter Notebook146

• ychtanaka/FastGSSS

  Eigendecomposition-free sampling set selection for graph signals.

  Language:MATLAB8

• rodrigo-pena/gssr

  Graph Signal Sampling and Recovery (GSSR)

  Language:Jupyter Notebook2

• bwdeng20/thgsp

  A PyTorch-based package built for graph signal processing(especially critical-sampling graph wavelet analysis).

  Language:Python103

• wenhaomin/DiffSTG

  Code for DiffSTG

  Language:Python496

• 17000cyh/IMDiffusion

  Language:Python597

• hypergraphlab/Hypergraph-Tutorial

  Language:Jupyter Notebook503

• jdb78/pytorch-forecasting

  Time series forecasting with PyTorch

  Language:Python3.9k611

• oemof/tespy

  Thermal Engineering Systems in Python (TESPy). This package provides a powerful simulation toolkit for thermal engineering plants such as power plants, district heating systems or heat pumps.

  Language:Python26784

• ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide

  Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

  7.5k1.1k

• satellite-image-deep-learning/techniques

  Techniques for deep learning with satellite & aerial imagery

  8.4k1.4k