xuzhiqin1990 / mscalednnLinks
☆20Updated 4 years ago
Alternatives and similar repositories for mscalednn
Users that are interested in mscalednn are comparing it to the libraries listed below
Sorting:
- [ICLR 2023] Interplay between the Attention and Electrical Impedance Tomography☆35Updated 2 years ago
- ☆11Updated 4 years ago
- code to show F-Principle in the DNN training☆60Updated 2 years ago
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…☆12Updated last year
- Implementation of physics informed neural networks with PyTorch☆20Updated 4 years ago
- SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients☆20Updated 4 months ago
- ☆27Updated 3 years ago
- ☆32Updated 3 years ago
- ☆15Updated last year
- Accompanyig code for "Training Physics-Informed Neural Networks: one learning to rule them all?"☆11Updated 2 years ago
- This repository contains Matlab code to reproduce results for the sparse sensor placement optimization for reconstruction (SSPOR) algorit…☆22Updated 8 years ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆13Updated 8 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…☆41Updated 2 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆26Updated 3 years ago
- Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)☆23Updated last year
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆15Updated last year
- ☆23Updated 3 years ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆10Updated 9 months ago
- An automatic knowledge embedding framework for scientific machine learning☆23Updated 3 years ago
- Benchmarking of diffusion models for global field reconstruction from sparse observations☆23Updated 8 months ago
- ☆21Updated 2 years ago
- Solving inverse problems using conditional invertible neural networks.☆33Updated 4 years ago
- ☆14Updated 6 years ago
- Physics-informed deep super-resolution of spatiotemporal data☆46Updated last year
- Multi-task physics-informed neural networks☆25Updated 2 years ago
- Official repository for Physics Informed Token Transformer (PITT)☆19Updated last year
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 4 years ago
- ☆16Updated last year
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Updated 4 years ago
- ☆16Updated last year