ContiPaolo / MultiFidelity_NNs
Multi-fidelity regression with neural networks
☆11Updated 2 months ago
Alternatives and similar repositories for MultiFidelity_NNs:
Users that are interested in MultiFidelity_NNs are comparing it to the libraries listed below
- ☆35Updated last year
- multi-fidelity neural network☆17Updated last year
- Multi-fidelity reduced-order surrogate modeling☆19Updated 2 months ago
- Multi-fidelity probability machine learning☆17Updated last month
- ☆35Updated last year
- Multi-fidelity Gaussian Process☆25Updated 4 years ago
- Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication☆16Updated 3 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆47Updated 4 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆29Updated 4 years ago
- ☆34Updated 2 years ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆16Updated last year
- Pytorch implementation of Bayesian physics-informed neural networks☆50Updated 3 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆23Updated last year
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆31Updated 7 months ago
- POD-PINN code and manuscript☆47Updated 3 months ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆25Updated 3 years ago
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆9Updated 3 years ago
- ☆17Updated last year
- Multi-head attention network for airfoil flow field prediction☆11Updated 2 years ago
- Physics-informed radial basis network☆29Updated 9 months ago
- Multifidelity DeepONet☆27Updated last year
- Physics-guided neural network framework for elastic plates☆34Updated 2 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆40Updated last year
- ☆12Updated 2 months ago
- ☆24Updated last year
- ☆12Updated 2 months ago
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 3 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆19Updated last year
- ☆62Updated 5 years ago
- Multi-fidelity classification with Gaussian process☆15Updated last year