rbischof / relative_balancingLinks
☆64Updated 3 years ago
Alternatives and similar repositories for relative_balancing
Users that are interested in relative_balancing are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of Bayesian physics-informed neural networks☆64Updated 4 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆100Updated 3 years ago
- ☆155Updated 3 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆92Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆160Updated last year
- POD-PINN code and manuscript☆55Updated last year
- Physics Informed Fourier Neural Operator☆23Updated 11 months ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆92Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆74Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆88Updated 4 years ago
- MIONet: Learning multiple-input operators via tensor product☆39Updated 3 years ago
- ☆227Updated 4 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Updated 4 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 2 years ago
- ☆54Updated 3 years ago
- physics-informed neural network for elastodynamics problem☆152Updated 3 years ago
- ☆170Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆28Updated 2 years ago
- PDE Preserved Neural Network☆58Updated 6 months ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆58Updated 4 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆84Updated 2 months ago
- ☆180Updated last year
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆22Updated 3 years ago
- Physics-informed learning of governing equations from scarce data☆157Updated 2 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆255Updated 4 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆144Updated 4 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆54Updated 2 years ago
- ☆114Updated 9 months ago
- ☆102Updated 4 years ago