Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: physics-informed

mathLab/PINA

Physics-Informed Neural networks for Advanced modeling

Language: Python - Size: 35.8 MB - Last synced: 1 day ago - Pushed: 1 day ago - Stars: 280 - Forks: 56

SciML/SciMLBenchmarksOutput

SciML-Bench Benchmarks for Scientific Machine Learning (SciML), Physics-Informed Machine Learning (PIML), and Scientific AI Performance

Language: HTML - Size: 598 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 15 - Forks: 3

pierremtb/PINNs-TF2.0

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

Language: Mathematica - Size: 3.87 MB - Last synced: about 2 months ago - Pushed: 6 months ago - Stars: 234 - Forks: 87

PredictiveScienceLab/pift-paper-2023

Physics-informed information field theory - Solve inverse problems with built-in model form uncertainty estimation

Language: C++ - Size: 3.86 MB - Last synced: 2 months ago - Pushed: 5 months ago - Stars: 9 - Forks: 1

JBris/physics_informed_neural_networks_tutorial

Going through the tutorial on Physics-informed Neural Networks: https://github.com/madagra/basic-pinn

Language: Jupyter Notebook - Size: 142 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 1 - Forks: 0

pierremtb/UQPINNs-TF2.0

TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks (UQPINNs).

Language: Python - Size: 408 KB - Last synced: about 2 months ago - Pushed: about 1 year ago - Stars: 16 - Forks: 23

cics-nd/ar-pde-cnn 📦

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

Language: Python - Size: 18.6 MB - Last synced: 8 months ago - Pushed: about 2 years ago - Stars: 81 - Forks: 30

xiaoyuxie-vico/PyDimension

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

Language: Jupyter Notebook - Size: 5.72 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 20 - Forks: 4

JRice15/physics-informed-autoencoders

Research project conducted at Pacific Northwest National Laboratory, exploring the use of physics-informed autoencoders to predict fluid flow dynamics

Language: Python - Size: 77 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 17 - Forks: 4

uq-group/uq-group.github.io

UQ Group (Director: Hadi Meidani)

Language: CSS - Size: 12.7 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 1 - Forks: 0

smrfeld/physics-based-ml-reaction-networks

Code for paper "Physics-based machine learning for modeling IP3 induced calcium oscillations" - DOI: 10.5281/zenodo.4839127

Language: Mathematica - Size: 15.9 MB - Last synced: over 1 year ago - Pushed: about 3 years ago - Stars: 0 - Forks: 1