Pongpisit-Thanasutives / Multi-task-Physics-informed-neural-networksLinks
Multi-task physics-informed neural networks
☆25Updated 3 years ago
Alternatives and similar repositories for Multi-task-Physics-informed-neural-networks
Users that are interested in Multi-task-Physics-informed-neural-networks are comparing it to the libraries listed below
Sorting:
- Boosting the training of physics informed neural networks with transfer learning☆27Updated 4 years ago
- Multi-fidelity regression with neural networks☆17Updated 3 months ago
- ☆69Updated 3 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆43Updated 3 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Updated 5 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆71Updated 4 years ago
- ☆63Updated 6 years ago
- POD-PINN code and manuscript☆57Updated last year
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆150Updated 6 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆76Updated 2 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆94Updated 2 years ago
- Deep learning library for solving differential equations on top of PyTorch.☆62Updated 5 years ago
- ☆40Updated 2 years ago
- ☆23Updated 4 years ago
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆24Updated 2 years ago
- Code for Rice et al. 2020 "Analyzing Koopman approaches to physics-informed machine learning for long-term sea-surface temperature forcea…☆36Updated 4 months ago
- ☆130Updated 3 years ago
- Implementation of PINNs in TensorFlow 2☆81Updated last month
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆19Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆61Updated 5 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆28Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆92Updated 5 years ago
- ☆54Updated 3 years ago
- Physics-encoded recurrent convolutional neural network☆48Updated 4 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆107Updated 3 years ago
- ☆19Updated 3 years ago
- ☆118Updated 6 years ago
- Physics-informed learning of governing equations from scarce data☆167Updated 2 years ago
- ☆110Updated 4 years ago
- Towards Physics-informed Deep Learning for Turbulent Flow Prediction☆27Updated 4 years ago