Blue-Giant / PIELM_NumpyLinks
Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem
☆15Updated last year
Alternatives and similar repositories for PIELM_Numpy
Users that are interested in PIELM_Numpy are comparing it to the libraries listed below
Sorting:
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Updated 3 years ago
- Research/development of physics-informed neural networks for dynamic systems☆31Updated last year
- ☆12Updated 11 months ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆38Updated 2 years ago
- Data-guided physics-informed neural networks☆15Updated last year
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆28Updated 2 years ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆19Updated last year
- Physics-Informed Neural Network☆92Updated last year
- Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…☆18Updated last year
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆24Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆67Updated 4 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆30Updated 3 years ago
- Original implementation of fast PINN optimization with RBA weights☆68Updated 2 months ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆27Updated 10 months ago
- ☆15Updated 2 years ago
- Boosting the training of physics informed neural networks with transfer learning☆27Updated 4 years ago
- Multi-fidelity regression with neural networks☆16Updated last month
- Data preprocess method on Physics-informed neural networks☆23Updated 9 months ago
- Separabale Physics-Informed DeepONets in JAX☆16Updated last year
- ☆26Updated 3 years ago
- ☆12Updated last month
- Physics Informed Fourier Neural Operator☆23Updated last year
- ☆13Updated 2 years ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆11Updated 3 months ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆42Updated 2 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆92Updated 3 years ago
- ☆40Updated 2 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆35Updated 3 years ago
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆26Updated last month
- Basic implementation of physics-informed neural network with pytorch.☆81Updated 3 years ago