apivich-h / pinnacleLinks
ποΈ PINNACLE: PINN Adaptive ColLocation and Experimental points selection
β21Updated 11 months ago
Alternatives and similar repositories for pinnacle
Users that are interested in pinnacle are comparing it to the libraries listed below
Sorting:
- β25Updated 2 years ago
- β29Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.β69Updated last year
- β20Updated 2 weeks ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawaβ¦β40Updated 2 years ago
- Original implementation of fast PINN optimization with RBA weightsβ56Updated 2 months ago
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Networkβ¦β18Updated 2 weeks ago
- Differential equation neural operatorβ22Updated last year
- β12Updated 2 years ago
- Multifidelity DeepONetβ33Updated last year
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Networkβ¦β18Updated last year
- DeepONet extrapolationβ27Updated 2 years ago
- PROSE: Predicting Multiple Operators and Symbolic Expressionsβ26Updated 2 months ago
- gPINN: Gradient-enhanced physics-informed neural networksβ92Updated 3 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."β62Updated 2 months ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNsβ26Updated 2 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.β26Updated 3 years ago
- β53Updated 2 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"β51Updated last year
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)β28Updated last year
- Data preprocess method on Physics-informed neural networksβ16Updated 4 months ago
- β40Updated 4 months ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)β16Updated 4 years ago
- Physics Informed Fourier Neural Operatorβ22Updated 7 months ago
- Competitive Physics Informed Networksβ30Updated 9 months ago
- β15Updated last year
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorchβ11Updated last year
- Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)β20Updated last year
- In this repository we give some basic intuitions of PINNS and how to implement it for heat equation.β13Updated 2 months ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weightingβ34Updated 2 years ago