☆12Apr 7, 2022Updated 4 years ago
Alternatives and similar repositories for Neural_PDE
Users that are interested in Neural_PDE are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆24Sep 29, 2021Updated 5 years ago
- A deep learning based method for solving high dimensional partial differential equations based on its weak form☆26Jun 22, 2025Updated last year
- Solving the Cahn-Hilliard equation with finite difference and spectral methods.☆11May 15, 2019Updated 7 years ago
- simulating two-phase Darcy flows in porous media using CNN☆12Nov 26, 2022Updated 3 years ago
- ☆11May 12, 2023Updated 3 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.
- A pyTorch Extension for Applied Mathematics☆41Mar 17, 2020Updated 6 years ago
- Variational Physics-Informed Neural Networks For the Helmholtz Impedance Problem☆10Sep 25, 2023Updated 3 years ago
- A framework for designing optimal feedback controllers using physics-driven machine learning.☆10Apr 9, 2021Updated 5 years ago
- Interpolation Nodes for High-order Lagrange Finite Elements☆10Dec 21, 2014Updated 11 years ago
- We develop a custom ML routine XNODE-WAN to solve parabolic PDEs with high efficiency.☆11Jun 23, 2022Updated 4 years ago
- GMRES algorithm implementation for the numerical solution of an indefinite non-symmetric system of linear equations.☆13Jul 22, 2023Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆33Mar 19, 2026Updated 7 months ago
- One-dimensional Discontinuous Galerkin code for Euler equations☆11Dec 1, 2017Updated 8 years ago
- Convergence and error analysis of PINNs☆13May 6, 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.
- JAX tutorials for PyTorch users☆14Feb 18, 2023Updated 3 years ago
- ☆13May 31, 2023Updated 3 years ago
- ☆16Jul 3, 2023Updated 3 years ago
- About Partial Differential Equations (PDEs) of 2D Heat Transfer is solved by Physic-Informed Neural Network (PINN), while time is discret…☆14May 14, 2024Updated 2 years ago
- A lightweight implementation of the PFASST algorithm☆13Aug 5, 2026Updated 3 months ago
- An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic di…☆34Oct 25, 2022Updated 4 years ago
- Supporting codes for the numerical implementations in the paper "Operator inference for non-intrusive model reduction with quadratic mani…☆12Aug 18, 2022Updated 4 years ago
- ☆12Feb 25, 2022Updated 4 years ago
- pyHamSys is a Python package for scientific computations involving Hamiltonian systems☆15May 26, 2026Updated 5 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…☆13Mar 18, 2024Updated 2 years ago
- Runge-Kutta adaptive-step solvers for nonlinear PDEs. Solvers include both exponential time differencing and integrating factor methods.☆15Jan 20, 2026Updated 9 months ago
- Paxplot is a Python visualization library for parallel axis, or parallel coordinate, plots.☆10Oct 19, 2026Updated 2 weeks ago
- ☆57Oct 9, 2022Updated 4 years ago
- FUSE: Fast Unified Simulation and Estimation for PDEs☆11Nov 26, 2025Updated 11 months ago
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆16Sep 18, 2023Updated 3 years ago
- Demo code for PPINN paper: https://www.sciencedirect.com/science/article/pii/S0045782520304357☆11Oct 23, 2020Updated 6 years ago
- Solving the one-dimensional time-dependent Schrodinger Equation for different potentials using the Crank-Nicolson method and analyzing th…☆15Jun 7, 2022Updated 4 years ago
- ☆15May 11, 2024Updated 2 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.
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆61Jun 10, 2024Updated 2 years ago
- 一个简易的模块化物理信息神经网络实现(PINN)☆58Nov 17, 2025Updated 11 months ago
- Code for reproducing the paper: RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks☆16May 2, 2022Updated 4 years ago
- Repository for programmes used in the publication "High Accuracy Benchmark Problems for Allen-Cahn and Cahn-Hilliard Dynamics"☆14Jun 29, 2023Updated 3 years ago
- Unsupervised neural networks for solving differential equations☆13Aug 10, 2024Updated 2 years ago
- Adaptive discrete empirical interpolation method☆16Feb 18, 2020Updated 6 years ago
- Numerical schemes for the Cahn-Hilliard equation.☆19May 3, 2017Updated 9 years ago