Wow's repositories

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characterizing-pinns-failure-modes

Characterizing possible failure modes in physics-informed neural networks.

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Dolfinx_Porous_Media

Multi-compartment porous modeling using FEniCSx: from the theory to the implementation

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EEG-ATCNet

Attention temporal convolutional network for EEG-based motor imagery classification

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fenicsx-fracture

FEniCSx Fracture mechanics examples

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florence

A finite element framework for Python's scientific stack: arbitrary order planar/curvilinear mesh generation and finite element methods for linear and nonlinear analysis of coupled multiphysics problems

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fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

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graphGalerkin

Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems

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jax-am

Additive manufacturing simulation with JAX.

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Kratos

Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.

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PDEBench

This is a repository for the paper "PDEBench: An Extensive Benchmark for Scientific Machine Learning".

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PlotNeuralNet

Latex code for making neural networks diagrams

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pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

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pytorch-minimize

Newton and Quasi-Newton optimization with PyTorch

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random-fourier-features-pytorch

Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.

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RegGNN

Regression Graph Neural Network (regGNN) for cognitive score prediction.

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shutter_optimization

Optimization of an optical shutter using machine learning

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soft_systems_course

Course on computational design, non-linear optimization, and dynamics of soft systems at UIUC.

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ThermodynamicsGNN

Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).

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torchquad

Numerical integration in arbitrary dimensions on the GPU using PyTorch

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