Dr. M. Umut DEMİREZEN's repositories
Deep-Ritz-PDE-Solver
Deep Ritz Method for solving PDE
deeponet-fno
DeepONet & FNO (with practical extensions)
DGTD_LSTM
模型降阶
dlkoopman
Koopman theory implemented using deep learning
fourier_neural_operator
Use Fourier transform to learn operators in differential equations.
gpinn
gPINN: Gradient-enhanced physics-informed neural networks
HardConstraint
Official implementation of *A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs*
Mastersthesis
Master's Thesis
MathEpiDeepLearningTutorial
Tutorials on math epidemiology and epidemiology informed deep learning methods
mionet
MIONet: Learning multiple-input operators via tensor product
ML-RT2
Radiative transfer with advanced machine learning methods
multifidelity-deeponet
Multifidelity DeepONet
PararealML
A machine learning boosted parallel-in-time differential equation solver framework.
PIML_Converter
This is the code and data for the IEEE TPEL paper "Parameter Estimation of Power Electronic Converters with Physics-informed Machine Learning"
PINN-2
A project providing a framework to solve many kinds of differential equations using neural networks.
pinn-sampling
Non-adaptive and residual-based adaptive sampling for PINNs
pynmsnn
NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch
pytorch_forward_forward
Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation
sbinn
SBINN: Systems-biology informed neural network
ScattPINNs
Inverse and forward scattering problems via PINNs
scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
text
Data loaders and abstractions for text and NLP
The-Kaggle-Book
Code Repository for The Kaggle Book, Published by Packt Publishing
WeightedSHAP
WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)