isds-neu / EQDiscoveryLinks
Physics-informed learning of governing equations from scarce data
☆145Updated last year
Alternatives and similar repositories for EQDiscovery
Users that are interested in EQDiscovery are comparing it to the libraries listed below
Sorting:
- ☆143Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆150Updated last year
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆232Updated 3 years ago
- ☆212Updated 3 years ago
- ☆349Updated 2 years ago
- ☆166Updated last year
- ☆128Updated 2 years ago
- hPINN: Physics-informed neural networks with hard constraints☆134Updated 3 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆79Updated 2 years ago
- DeepONet & FNO (with practical extensions)☆306Updated last year
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆325Updated 10 months ago
- Basic implementation of physics-informed neural network with pytorch.☆70Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆59Updated 3 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆136Updated 3 years ago
- Tutorials on deep learning, Python, and dissipative particle dynamics☆191Updated 2 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆197Updated 2 years ago
- Implementing a physics-informed DeepONet from scratch☆41Updated last year
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆88Updated last year
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆70Updated 2 years ago
- ☆181Updated 2 months ago
- DeepXDE and PINN☆114Updated 3 years ago
- Physics-informed neural networks package☆310Updated 2 years ago
- ☆253Updated 2 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆146Updated last year
- Generative Pre-Trained Physics-Informed Neural Networks Implementation☆97Updated 4 months ago
- ☆134Updated 8 months ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆49Updated 3 years ago
- gPINN: Gradient-enhanced physics-informed neural networks☆92Updated 3 years ago
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆312Updated 11 months ago
- Original implementation of fast PINN optimization with RBA weights☆56Updated 2 months ago