YaoGroup / MultistageNNLinks
Codes associated with the manuscript titled "Multi-stage neural networks: Function approximator of machine precision"
☆46Updated last year
Alternatives and similar repositories for MultistageNN
Users that are interested in MultistageNN are comparing it to the libraries listed below
Sorting:
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆18Updated last year
- ☆97Updated 3 years ago
- Sparse Physics-based and Interpretable Neural Networks☆50Updated 3 years ago
- ☆33Updated last year
- Physics Informed Fourier Neural Operator☆22Updated 7 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆62Updated 2 months ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆70Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆59Updated 3 years ago
- ☆53Updated 2 years ago
- Applications of PINOs☆126Updated 2 years ago
- Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.☆26Updated 7 months ago
- ☆56Updated 5 months ago
- ☆143Updated 2 years ago
- PDE Preserved Neural Network☆53Updated last month
- Example problems in Physics informed neural network in JAX☆80Updated last year
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆79Updated 3 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆71Updated 2 years ago
- Spectral Neural Operator☆79Updated last year
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆43Updated last week
- ☆50Updated 6 months ago
- ☆62Updated 2 years ago
- ☆29Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆69Updated last year
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆40Updated 2 years ago
- ☆166Updated last year
- Original implementation of fast PINN optimization with RBA weights☆56Updated 2 months ago
- B-PINN - Jax - HMC tutorial☆18Updated 2 years ago
- Code for reproducing the paper: RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks☆15Updated 3 years ago
- MIONet: Learning multiple-input operators via tensor product☆34Updated 2 years ago
- Fourier Neural Operator☆12Updated 2 years ago