XuhuiM / Multi-Fidelity-DNNs-PINNsLinks
☆37Updated last year
Alternatives and similar repositories for Multi-Fidelity-DNNs-PINNs
Users that are interested in Multi-Fidelity-DNNs-PINNs are comparing it to the libraries listed below
Sorting:
- ☆39Updated 2 years ago
- multi-fidelity neural network☆18Updated last year
- Multi-fidelity regression with neural networks☆12Updated 6 months ago
- Multi-fidelity reduced-order surrogate modeling☆23Updated last month
- Pytorch implementation of Bayesian physics-informed neural networks☆59Updated 3 years ago
- Multi-fidelity Gaussian Process☆27Updated 4 years ago
- POD-PINN code and manuscript☆51Updated 6 months ago
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆22Updated 2 years ago
- Multifidelity DeepONet☆33Updated last year
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆31Updated 3 years ago
- ☆38Updated 3 years ago
- Multi-fidelity probability machine learning☆18Updated 4 months ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆49Updated 3 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 4 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆88Updated last year
- Multifidelity Kriging, Efficient Global Optimization☆18Updated 6 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆30Updated 4 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆32Updated 2 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…☆40Updated 2 years ago
- ☆19Updated last year
- Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.☆64Updated 8 years ago
- ☆62Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 2 years ago
- ☆63Updated 5 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆78Updated 2 years ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆18Updated 2 years ago
- Basic implementation of physics-informed neural network with pytorch.☆68Updated 2 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 4 months ago
- Multi-fidelity classification with Gaussian process☆17Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆50Updated 3 years ago