menggedu / AutoKE
An automatic knowledge embedding framework for scientific machine learning
☆21Updated 2 years ago
Alternatives and similar repositories for AutoKE:
Users that are interested in AutoKE are comparing it to the libraries listed below
- ☆23Updated 2 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆24Updated last year
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆23Updated last year
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆22Updated last month
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆40Updated last year
- This is the implementation of the RecFNO.☆17Updated 2 years ago
- This is the implementation of the PI-UNet for HSL-TFP☆21Updated 2 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆25Updated 3 years ago
- Physics-guided neural network framework for elastic plates☆34Updated 2 years ago
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 3 years ago
- Physics Informed Fourier Neural Operator☆18Updated 3 months ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆62Updated 10 months ago
- POD-PINN code and manuscript☆47Updated 3 months ago
- PDE Preserved Neural Network☆45Updated 7 months ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆25Updated last year
- DeepONet extrapolation☆25Updated last year
- Original implementation of fast PINN optimization with RBA weights☆47Updated 4 months ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆20Updated 2 years ago
- Deep finite volume method☆20Updated 7 months ago
- Reproduce the first two numerical experiments(Pytorch)☆26Updated 4 years ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆17Updated 2 years ago
- KTH-FlowAI / beta-Variational-autoencoders-and-transformers-for-reduced-order-modelling-of-fluid-flows☆28Updated last year
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆17Updated last year
- Pytorch implementation of Bayesian physics-informed neural networks☆50Updated 3 years ago
- Variational Neural Networks for the Solution of Partial Differential Equations☆8Updated 5 years ago
- ☆46Updated last month
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆13Updated last year
- Multifidelity DeepONet☆27Updated last year
- ☆12Updated 2 months ago