Physics-Informed Neural Networks designed to solve the Two-Dimensional Wave Equation in both TensorFlow and PyTorch. Code is designed to benchmark the performance of PINNs across various hardware architectures.
☆17Nov 3, 2022Updated 4 years ago
Alternatives and similar repositories for PINNs_Benchmark
Users that are interested in PINNs_Benchmark are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 2D wave equation simulated by PINN and FDM☆14Feb 20, 2022Updated 4 years ago
- 2nd Order Wave Equation PINN Solution/ TensorFlow & PyTorch☆37Aug 2, 2022Updated 4 years ago
- PINN for solving wave equation☆25Dec 17, 2022Updated 3 years ago
- After reading the paper Physics-informed neural networks(https://www.sciencedirect.com/science/article/pii/S0021999118307125), I tried to…☆13Jan 27, 2022Updated 4 years ago
- Porosity estimation from RW-PINNs☆18May 6, 2023Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- this is a case of seismic wave forward and inversion using PINN(physical-informed neural network)☆17Aug 25, 2022Updated 4 years ago
- This repository gives the codes for numerical solver independent seismic wave simulation using Task-decomposed Physics-informed Neural Ne…☆29Sep 22, 2023Updated 3 years ago
- An implementation of Physics-Informed Neural Networks (PINNs) to solve various forward and inverse problems for the 1 dimensional wave eq…☆49Sep 21, 2022Updated 4 years ago
- Python Implementation of a Wasserstein-GAN with gradient penalty (WGAN-GP) to solve the Seismic inversion for acoustic impedance of Marmo…☆15Aug 17, 2022Updated 4 years ago
- A tutorial for seismic processing of a 2D line☆22May 3, 2024Updated 2 years ago
- code for Deep Neural Helmholtz Operators for 3D Elastic Wave Propagation and Inversion☆40May 16, 2025Updated last year
- Semi-supervised Impedance Inversion by Bayesian Neural Network Based on 2-d CNN Pre-training☆21Nov 21, 2021Updated 4 years ago
- This repository gives the codes for "Physics-constrained deep-learning source-independent full-waveform inversion".☆19Mar 5, 2026Updated 8 months ago
- Codes and data for the paper: M. Alfarraj and G. AlRegib, "Semi-Supervised Learning for Acoustic Impedance Inversion," in Expanded Abstra…☆22Jan 17, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆14May 19, 2024Updated 2 years ago
- FWIGAN: Full-Waveform Inversion with Deep Adversarial Learning☆37Oct 18, 2026Updated 2 weeks ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆29Apr 14, 2023Updated 3 years ago
- Physics Informed Neural Network (PINN) for the wave equation.☆213Jul 16, 2020Updated 6 years ago
- Physics-informed neural networks for magnetic resonance elastography☆15Sep 22, 2023Updated 3 years ago
- Neural network based petrophysical property inversion☆12Sep 29, 2019Updated 7 years ago
- Implementation of ConvGRU2D layer in tensorflow keras☆13Jun 16, 2021Updated 5 years ago
- Full-waveform inversion in acoustic isotropic media using adjoint state method☆39Nov 9, 2020Updated 5 years ago
- DiffNet: A FEM based neural PDE solver package☆12Apr 9, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆42Apr 14, 2023Updated 3 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Mar 20, 2023Updated 3 years ago
- HArD::Core2D (Hybrid Arbitrary Degree::Core 2D) - Library to implement schemes with edge and cell polynomial unknowns on 2D generic meshe…☆12Jan 29, 2026Updated 9 months ago
- Multi-task learning for low-frequency extrapolation and elastic model building☆32Jun 27, 2022Updated 4 years ago
- A Physics-Informed Neural Network for solving Burgers' equation.☆34Apr 14, 2024Updated 2 years ago
- Seismic Data Processing using open source software Seismic Unix☆47Sep 29, 2024Updated 2 years ago
- Can a neural network learn Black Scholes, yes...☆10Dec 17, 2018Updated 7 years ago
- Physics Informed Fourier Neural Operator☆32Nov 21, 2024Updated last year
- MMPDElab package☆12Jun 14, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- The demo code for "Physics-enhanced neural networks for half-space seismic wave modeling"☆11Oct 11, 2023Updated 3 years ago
- Code for training and using the Born Fourier Neural Operator (BornFNO) model proposed in our ICASSP 2023 paper☆12Oct 3, 2023Updated 3 years ago
- This Project looks to design and optimize a Heliostat field for Concentrating Solar Power☆10Dec 10, 2020Updated 5 years ago
- Code to run 3D simulations of the elastic wave equation and predict outputs with 3D neural operators☆50Jun 20, 2025Updated last year
- ☆10Jun 5, 2021Updated 5 years ago
- Reproducible material for Meta-Processing: A robust framework for multi-tasks seismic processing☆10Nov 4, 2024Updated 2 years ago
- 🤖 A streamlined, easy‑to‑install implementation of Fourier Neural Operators for time‑dependent and cloud‑point learning tasks.☆10May 28, 2023Updated 3 years ago