Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing
☆118Mar 1, 2022Updated 4 years ago
Alternatives and similar repositories for TensorDiffEq
Users that are interested in TensorDiffEq are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆301Oct 12, 2021Updated 5 years ago
- ETHz Deep Learning for Scientific Computing. In this project we reproduce the FFN, DeepONet, FNO, CNO, KNO, UNet on Heat/Wave/Poisson Equ…☆12Jul 14, 2023Updated 3 years ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆253Oct 21, 2024Updated 2 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆368Dec 20, 2023Updated 2 years ago
- PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks☆315Feb 9, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Research experiments☆10Mar 3, 2025Updated last year
- ☆119Oct 16, 2021Updated 5 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆91Jan 24, 2021Updated 5 years ago
- Publication of Python code used to train ModalPINN☆11May 5, 2022Updated 4 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆268Nov 30, 2023Updated 2 years ago
- A library for scientific machine learning and physics-informed learning☆4,492Aug 18, 2026Updated 2 months ago
- ☆222Feb 16, 2024Updated 2 years ago
- ☆10Dec 17, 2019Updated 6 years ago
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆791Apr 22, 2026Updated 6 months 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.
- ☆16Oct 25, 2021Updated 5 years ago
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated s…☆1,237Updated this week
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆24Jun 7, 2020Updated 6 years ago
- Deep Learning - Predicting using Neural Ordinary Differential Equations - torchdiffeq.☆15Nov 18, 2020Updated 5 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆232Feb 21, 2023Updated 3 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Apr 23, 2021Updated 5 years ago
- A place to share problems solved with SciANN☆311Nov 6, 2023Updated 2 years ago
- The Gerris based Solid-Fluid system solver☆13Apr 20, 2021Updated 5 years ago
- Investigating PINNs☆791Aug 13, 2021Updated 5 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.
- Convolutional Solvers for Partial Differential Equations☆28Jun 29, 2020Updated 6 years ago
- Package for CGD and ACGD optimizers☆20Aug 11, 2022Updated 4 years ago
- ☆433Dec 3, 2022Updated 3 years ago
- ☆178Jun 27, 2022Updated 4 years ago
- PINN paper that will be submitted to Journal of Computational Science☆13Sep 11, 2026Updated last month
- ☆16Nov 20, 2023Updated 2 years ago
- ☆16Oct 29, 2023Updated 3 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆155Oct 18, 2019Updated 7 years ago
- The source code the for the ICLR'24 paper "Stabilizing Backpropagation Through Time to Learn Complex Physics"☆11May 17, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆118Jul 28, 2019Updated 7 years ago
- Physics-informed neural networks with hard constraints for inverse design☆165Nov 21, 2021Updated 4 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆44Jul 12, 2023Updated 3 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Feb 17, 2021Updated 5 years ago
- Ensembe PINN for improved inverse modeling☆11Apr 26, 2023Updated 3 years ago
- ☆57Oct 9, 2022Updated 4 years ago
- POD-PINN code and manuscript☆62Nov 10, 2024Updated last year