☆13Apr 7, 2022Updated 3 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:
- ☆23Sep 29, 2021Updated 4 years ago
- A deep learning based method for solving high dimensional partial differential equations based on its weak form☆25Jun 22, 2025Updated 9 months ago
- ☆11May 12, 2023Updated 2 years ago
- A pyTorch Extension for Applied Mathematics☆40Mar 17, 2020Updated 6 years ago
- Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"☆18Nov 18, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- Project: Efficient upscaling of geologic model based on theory-guided encoder-decoder☆12Jun 23, 2021Updated 4 years ago
- Variational Physics-Informed Neural Networks For the Helmholtz Impedance Problem☆10Sep 25, 2023Updated 2 years ago
- ☆13Feb 13, 2026Updated last month
- Adaptive discrete empirical interpolation method☆16Feb 18, 2020Updated 6 years ago
- We develop a custom ML routine XNODE-WAN to solve parabolic PDEs with high efficiency.☆11Jun 23, 2022Updated 3 years ago
- One-dimensional Discontinuous Galerkin code for Euler equations☆11Dec 1, 2017Updated 8 years ago
- An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic di…☆32Oct 25, 2022Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆32Mar 19, 2026Updated last week
- About Partial Differential Equations (PDEs) of 2D Heat Transfer is solved by Physic-Informed Neural Network (PINN), while time is discret…☆14May 14, 2024Updated last year
- 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.
- JAX tutorials for PyTorch users☆13Feb 18, 2023Updated 3 years ago
- Runge-Kutta adaptive-step solvers for nonlinear PDEs. Solvers include both exponential time differencing and integrating factor methods.☆15Jan 20, 2026Updated 2 months ago
- ☆56Oct 9, 2022Updated 3 years ago
- ☆15Jul 3, 2023Updated 2 years ago
- 一个简易的模块化物理信息神经网络实现(PINN)☆54Nov 17, 2025Updated 4 months ago
- PINNs-MPF is a comprehensive framework designed for simulating interface dynamics using Physics-Informed Neural Networks (PINNs). Leverag…☆21Apr 11, 2025Updated 11 months ago
- Rehuel is a simple C++11 library for solving ordinary differential equations with (implicit) Runge-Kutta methods.☆17Apr 13, 2025Updated 11 months ago
- 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
- A TensorFlow Extension: GPU performance tools for TensorFlow.☆26Jul 27, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Generative Pre-Trained Physics-Informed Neural Networks Implementation☆119Aug 26, 2025Updated 7 months ago
- DeepONet and UQ for power systems transient stability☆12Feb 18, 2023Updated 3 years ago
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆16Sep 18, 2023Updated 2 years ago
- Demo code for PPINN paper: https://www.sciencedirect.com/science/article/pii/S0045782520304357☆11Oct 23, 2020Updated 5 years ago
- Repository of hand corrected skullstripping for the Enhanced Rockland Sample Neurofeedback Study☆19Feb 21, 2021Updated 5 years ago
- FEM enhanced neural network☆20Nov 27, 2022Updated 3 years ago
- Paxplot is a Python visualization library for parallel axis, or parallel coordinate, plots.☆10Sep 29, 2025Updated 5 months ago
- Numerical schemes for the Cahn-Hilliard equation.☆19May 3, 2017Updated 8 years ago
- Code for reproducing the paper: RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks☆16May 2, 2022Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Unsupervised neural networks for solving differential equations☆13Aug 10, 2024Updated last year
- Our implementation of the paper "A Multi-Horizon Quantile Recurrent Forecaster"☆33Mar 16, 2023Updated 3 years ago
- ☆16Mar 2, 2022Updated 4 years ago
- The Poisson equation is an integral part of many physical phenomena, yet its computation is often time-consuming. This module presents an…☆32Jun 27, 2023Updated 2 years ago
- Original implementation of fast PINN optimization with RBA weights☆71Sep 11, 2025Updated 6 months ago
- Implementing physics informed neural networks (PINN) in PyTorch to solve turbulent flows using the Navier-Stokes equations☆27May 17, 2024Updated last year
- Implementation of the Deep Ritz method and the Deep Galerkin method☆63Jun 4, 2020Updated 5 years ago