Solving High Dimensional Partial Differential Equations with Deep Neural Networks
☆34Dec 21, 2021Updated 4 years ago
Alternatives and similar repositories for DGM
Users that are interested in DGM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Companion code for "Solving Nonlinear and High-Dimensional Partial Differential Equations via Deep Learning" by A. Al-Aradi, A. Correia, …☆126Jul 30, 2019Updated 6 years ago
- Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations☆160Feb 20, 2020Updated 6 years ago
- Implementation of the Deep Ritz method and the Deep Galerkin method☆65Jun 4, 2020Updated 6 years ago
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Aug 10, 2022Updated 3 years ago
- ☆14Jan 29, 2021Updated 5 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- This repository introduces Partial Differential Equation Solver using neural network that can learn resolution-invariant solution operato …☆17Nov 23, 2021Updated 4 years ago
- ☆41May 8, 2020Updated 6 years ago
- A library for building finite difference simulations☆36Apr 22, 2021Updated 5 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆98May 11, 2022Updated 4 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Feb 17, 2021Updated 5 years ago
- CSCI-5636 Numerical Solution of Partial Differential Equations☆17Dec 8, 2018Updated 7 years ago
- Group project for Deep Learning: Algorithms and Applications in Peking University 2018 Spring. This is a brief survey, discussion and imp…☆47Jul 2, 2018Updated 8 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆96Aug 26, 2025Updated 10 months ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆19May 25, 2024Updated 2 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.
- ☆10Dec 17, 2019Updated 6 years ago
- DiffNet: A FEM based neural PDE solver package☆12Apr 9, 2024Updated 2 years ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆186Feb 25, 2021Updated 5 years ago
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆293Jul 30, 2022Updated 3 years ago
- ☆16Nov 20, 2023Updated 2 years ago
- A repo to learn and curate PINN☆35May 10, 2024Updated 2 years ago
- PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks☆316Feb 9, 2024Updated 2 years ago
- Integrating Neural Ordinary Differential Equations, the Method of Lines, and Graph Neural Networks☆17Oct 29, 2023Updated 2 years ago
- Source code related to the article "Deep splitting method for parabolic PDEs" by Christian Beck, Sebastian Becker, Patrick Cheridito, Arn…☆16Nov 1, 2020Updated 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.
- Deep Learning for Solving Differential Equations (Educational)☆19Nov 30, 2023Updated 2 years ago
- PENN code for NeurIPS 2022☆42Jan 11, 2023Updated 3 years ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆57Nov 27, 2022Updated 3 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆70May 22, 2024Updated 2 years ago
- Demo code for PPINN paper: https://www.sciencedirect.com/science/article/pii/S0045782520304357☆11Oct 23, 2020Updated 5 years ago
- Different methods of solving partial differential equations with neural networks☆18Oct 21, 2021Updated 4 years ago
- Reproduce "Solving high-dimensional partial differential equations using deep learning" by pytorch☆40Aug 24, 2018Updated 7 years ago
- Sparse Physics-based and Interpretable Neural Networks☆54Sep 30, 2021Updated 4 years ago
- Code for the paper "Rational neural networks", NeurIPS 2020☆30Feb 15, 2021Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆11Oct 28, 2021Updated 4 years ago
- Generative Pre-Trained Physics-Informed Neural Networks Implementation☆122Aug 26, 2025Updated 10 months ago
- PDE Preserved Neural Network☆58May 15, 2025Updated last year
- USTC矩阵分析与应用课后题目总结与解答☆17Jul 7, 2023Updated 3 years ago
- Soving heat transfer problems using PINN with tf2.0☆21Jun 27, 2021Updated 5 years ago
- Code and data in support of publication on Cardiac PINN☆24Apr 24, 2021Updated 5 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆169May 15, 2024Updated 2 years ago