Dr. M. Umut DEMİREZEN's repositories

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Deep-Ritz-PDE-Solver

Deep Ritz Method for solving PDE

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deeponet-fno

DeepONet & FNO (with practical extensions)

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DGTD_LSTM

模型降阶

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dlkoopman

Koopman theory implemented using deep learning

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fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

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gpinn

gPINN: Gradient-enhanced physics-informed neural networks

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HardConstraint

Official implementation of *A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs*

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Mastersthesis

Master's Thesis

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MathEpiDeepLearningTutorial

Tutorials on math epidemiology and epidemiology informed deep learning methods

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mionet

MIONet: Learning multiple-input operators via tensor product

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ML-RT2

Radiative transfer with advanced machine learning methods

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multifidelity-deeponet

Multifidelity DeepONet

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PararealML

A machine learning boosted parallel-in-time differential equation solver framework.

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PIML_Converter

This is the code and data for the IEEE TPEL paper "Parameter Estimation of Power Electronic Converters with Physics-informed Machine Learning"

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PINN-2

A project providing a framework to solve many kinds of differential equations using neural networks.

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pinn-sampling

Non-adaptive and residual-based adaptive sampling for PINNs

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pynmsnn

NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch

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pytorch_forward_forward

Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation

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sbinn

SBINN: Systems-biology informed neural network

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ScattPINNs

Inverse and forward scattering problems via PINNs

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scientific-visualization-book

An open access book on scientific visualization using python and matplotlib

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text

Data loaders and abstractions for text and NLP

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The-Kaggle-Book

Code Repository for The Kaggle Book, Published by Packt Publishing

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WeightedSHAP

WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)

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