VincLee8188 / Physics-Informed-Neural-Networks-PyTorch
Implementation of physics informed neural networks with PyTorch
☆20Updated 4 years ago
Alternatives and similar repositories for Physics-Informed-Neural-Networks-PyTorch:
Users that are interested in Physics-Informed-Neural-Networks-PyTorch are comparing it to the libraries listed below
- ☆30Updated last year
- Solving inverse problems using conditional invertible neural networks.☆33Updated 3 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆38Updated 2 years ago
- ☆52Updated 2 years ago
- This is the implementation of the RecFNO.☆17Updated 2 years ago
- Variational Neural Networks for the Solution of Partial Differential Equations☆8Updated 5 years ago
- ☆25Updated 2 years ago
- ☆37Updated 2 years ago
- Practicum on Supervised Learning in Function Spaces☆32Updated 3 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆15Updated 4 years ago
- Physics-informed deep super-resolution of spatiotemporal data☆40Updated last year
- ☆13Updated 11 months ago
- DeepONet extrapolation☆25Updated last year
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆56Updated 6 months ago
- ☆54Updated 9 months ago
- ☆46Updated last month
- Physics Informed Neural Networks☆20Updated 4 years ago
- Sparse Physics-based and Interpretable Neural Networks☆47Updated 3 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆24Updated last year
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆13Updated 8 months ago
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆22Updated last year
- Learning two-phase microstructure evolution using neural operators and autoencoder architectures☆23Updated 9 months ago
- MIONet: Learning multiple-input operators via tensor product☆31Updated 2 years ago
- Physics Informed Fourier Neural Operator☆18Updated 3 months ago
- This is the implementation of the PI-UNet for HSL-TFP☆21Updated 2 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆31Updated 7 months ago
- ☆14Updated 11 months ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆17Updated last year
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆25Updated last year