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mit

Physics-Informed Neural networks for Advanced modeling

ode pde pinn python pytorch modeling lightining deep-learning hacktoberfest neural-networks machine-learning neural-operators physics-informed equation-learning differential-equations physics-informed-neural-networks

Created 2021-11-29

318 commits to master branch, last one 9 days ago

255

mit

TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).

tf2 physics-informed deep-neural-networks mechanical-engineering partial-differential-equations

Created 2019-07-04

67 commits to master branch, last one 5 years ago

mit

Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs

deep-learning physics-informed bayesian-surrogate physics-constrained convolutional-neural-networks partial-differential-equations

This repository has been archived (exclude archived)

Created 2019-06-18

8 commits to master branch, last one 2 years ago

gpl-3.0

Dimensionless learning codes for our paper called "Data-driven discovery of dimensionless numbers and governing laws from scarce measurements".

scaling-laws deep-learning manufacturing machine-learning physics-informed system-identification scientific-machine-learning partial-differential-equations

Created 2021-11-30

177 commits to main branch, last one 6 months ago