DiabAbu / DeepOKANLinks
☆16Updated last year
Alternatives and similar repositories for DeepOKAN
Users that are interested in DeepOKAN are comparing it to the libraries listed below
Sorting:
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆13Updated 3 years ago
- Implementations of the "randomize-then-optimize" approach for sampling Bayesian Physics-informed Neural Network posteriors☆12Updated 8 months ago
- Data preprocess method on Physics-informed neural networks☆24Updated 9 months ago
- SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients☆23Updated 8 months ago
- ☆13Updated last year
- ☆15Updated last year
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…☆14Updated last year
- ☆23Updated last year
- Deep finite volume method☆21Updated last year
- ☆25Updated last year
- ☆23Updated last year
- Code of the publication "Physics informed neural networks for continuum micromechanics" published in https://doi.org/10.1016/j.cma.2022.1…☆19Updated 3 years ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆11Updated 3 months ago
- A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…☆23Updated last year
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆26Updated 2 months ago
- ☆12Updated last year
- Physics-informed radial basis network☆33Updated last year
- Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms☆12Updated last year
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆38Updated 2 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆19Updated last year
- Official Implementation of "AIVT: Inference of turbulent thermal convection from measured 3D velocity data by physics-informed Kolmogorov…☆16Updated 2 months ago
- Graph Convolutional Networks for Unstructured Flow Fields☆11Updated 3 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆53Updated 2 years ago
- 🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection☆26Updated last year
- Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular…☆13Updated 5 months ago
- ☆26Updated 3 years ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆22Updated 3 years ago
- Physics Informed Fourier Neural Operator☆24Updated last year
- Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"☆14Updated last year
- An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic di…☆31Updated 3 years ago