mariusmerkle / TL-PINNs
Boosting the training of physics informed neural networks with transfer learning
☆26Updated 3 years ago
Alternatives and similar repositories for TL-PINNs
Users that are interested in TL-PINNs are comparing it to the libraries listed below
Sorting:
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆25Updated 2 years ago
- POD-PINN code and manuscript☆51Updated 6 months ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆32Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆59Updated 3 years ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆35Updated 2 years ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆18Updated last year
- Research/development of physics-informed neural networks for dynamic systems☆20Updated 5 months ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆48Updated 4 years ago
- Physics-guided neural network framework for elastic plates☆39Updated 3 years ago
- Sparse Physics-based and Interpretable Neural Networks☆48Updated 3 years ago
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆22Updated last year
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆55Updated 4 years ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆18Updated 2 years ago
- ☆25Updated 2 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆75Updated 2 years ago
- Optimizing Physics-Informed NN using Multi-task Likelihood Loss Balance Algorithm and Adaptive Activation Function Algorithm☆31Updated last year
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 3 months ago
- Tensoflow 2 implementation of physics informed deep learning.☆27Updated 4 years ago
- ☆60Updated 2 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆49Updated 3 years ago
- gPINN: Gradient-enhanced physics-informed neural networks☆89Updated 3 years ago
- Implementations of the "randomize-then-optimize" approach for sampling Bayesian Physics-informed Neural Network posteriors☆8Updated last month
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆26Updated 3 years ago
- ☆23Updated 2 years ago
- Implementing a physics-informed DeepONet from scratch☆39Updated last year
- ☆37Updated 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
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- An automatic knowledge embedding framework for scientific machine learning☆23Updated 3 years ago
- Physics Informed Fourier Neural Operator☆21Updated 5 months ago