JALB-epsilon / Fine-tuning-NOsLinks
☆14Updated last year
Alternatives and similar repositories for Fine-tuning-NOs
Users that are interested in Fine-tuning-NOs are comparing it to the libraries listed below
Sorting:
- ☆42Updated 2 years ago
- ☆36Updated 2 years ago
- Code to run 3D simulations of the elastic wave equation and predict outputs with 3D neural operators☆35Updated 3 months ago
- Repository for sharing code and data assocaited with En-DeepONet architecture☆35Updated last year
- Use Fourier transform to learn operators in differential equations.☆16Updated 2 years ago
- code for Deep Neural Helmholtz Operators for 3D Elastic Wave Propagation and Inversion☆24Updated 4 months ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆27Updated 2 years ago
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆13Updated last year
- ☆12Updated last year
- Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robus…☆26Updated last year
- ☆61Updated 6 months ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆145Updated last year
- ☆12Updated last year
- ☆38Updated last year
- Deep-learning iterative solver for the heterogeneous 2D Helmholtz equation☆32Updated 2 years ago
- Physics-Informed Neural Networks designed to solve the Two-Dimensional Wave Equation in both TensorFlow and PyTorch. Code is designed to …☆18Updated 2 years ago
- Fourier-MIONet: Fourier-enhanced multiple-input neural operators for multiphase modeling of geological carbon sequestration☆16Updated last year
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆69Updated 4 months ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆22Updated last year
- Integrating Devito operators into PyTorch☆12Updated 4 years ago
- ☆10Updated 2 years ago
- Applications of PINOs☆133Updated 2 years ago
- Elastic Full Waveform Inversion for Subsurface Flow Problems Using Intrusive Automatic Differentiation☆43Updated 3 years ago
- Distributed Fourier Neural Operators☆30Updated 3 years ago
- SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain☆17Updated last year
- Codes for "Broadband Ground Motion Synthesis via Generative Adversarial Neural Operators: Development and Validation"s☆11Updated 3 months ago
- Implementation of physics informed neural networks with PyTorch