Reproduce the first two numerical experiments(Pytorch)
☆27Jul 30, 2020Updated 6 years ago
Alternatives and similar repositories for Deep-Ritz-Method
Users that are interested in Deep-Ritz-Method are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Group project for Deep Learning: Algorithms and Applications in Peking University 2018 Spring. This is a brief survey, discussion and imp…☆48Jul 2, 2018Updated 8 years ago
- Implementation of the Deep Ritz method and the Deep Galerkin method☆66Jun 4, 2020Updated 6 years ago
- ☆16Oct 29, 2023Updated 2 years ago
- Variational Physics-Informed Neural Networks For the Helmholtz Impedance Problem☆10Sep 25, 2023Updated 2 years ago
- ☆16Jul 3, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- PINN, DGM and DRM☆20Jul 3, 2023Updated 3 years ago
- Deep learning library for solving differential equations on top of PyTorch.☆63Jul 30, 2020Updated 6 years ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆24Nov 29, 2022Updated 3 years ago
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆36Apr 15, 2023Updated 3 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆96Aug 26, 2025Updated 11 months ago
- An automatic knowledge embedding framework for scientific machine learning☆23May 15, 2022Updated 4 years ago
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…☆15Apr 12, 2024Updated 2 years ago
- Finite difference solution of 2D Poisson equation. Can handle Dirichlet, Neumann and mixed boundary conditions.☆78Nov 28, 2024Updated last year
- We develop a custom ML routine XNODE-WAN to solve parabolic PDEs with high efficiency.☆11Jun 23, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆16Apr 2, 2023Updated 3 years ago
- FEM enhanced neural network☆20Nov 27, 2022Updated 3 years ago
- Deep finite volume method☆23Jun 26, 2024Updated 2 years ago
- Implementation of PINNs for burger's and Navier-Stokes equation with PyTorch☆11May 23, 2024Updated 2 years ago
- ☆12Apr 18, 2023Updated 3 years ago
- ☆10Dec 17, 2019Updated 6 years ago
- A Self-Training Physics-Informed Neural Network for Partial Differential Equations☆24Aug 3, 2023Updated 3 years ago
- DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations☆40Nov 20, 2024Updated last year
- ☆11Apr 7, 2024Updated 2 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- The lid-driven cavity is a popular problem within the field of computational fluid dynamics (CFD) for validating computational methods. I…☆16Dec 14, 2021Updated 4 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
- Machine Learning Methods for Magnetic Modeling☆12Jul 25, 2024Updated 2 years ago
- Code for the paper "Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks" (https://arxiv.org/abs/2206.…☆10Aug 8, 2022Updated 4 years ago
- ☆13Apr 7, 2022Updated 4 years ago
- Python script for Linear, Non-Linear Convection, Burger’s & Poisson Equation in 1D & 2D, 1D Diffusion Equation using Standard Wall Functi…☆244Jan 28, 2024Updated 2 years ago
- "Neural Emulator Superiority: When Machine Learning for PDEs Surpasses its Training Data" [NeurIPS 2025]☆17May 21, 2026Updated 2 months ago
- 我的学习笔记☆14Jun 27, 2021Updated 5 years ago
- ☆12Jul 15, 2022Updated 4 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.
- ☆21May 4, 2021Updated 5 years ago
- This repository contains the simple source codes of "Convolutional neural network and long short-term memory based reduced order surrogat…☆15Feb 27, 2021Updated 5 years ago
- Discretization methods for porous media flow problems.☆12Jan 10, 2023Updated 3 years ago
- Example problems in Physics informed neural network in JAX☆83Aug 23, 2023Updated 2 years ago
- The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"☆30Sep 26, 2019Updated 6 years ago
- Official Github Repository for paper "Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (…☆16Jun 10, 2023Updated 3 years ago
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆15May 27, 2024Updated 2 years ago