JALB-epsilon / Fine-tuning-NOsLinks
☆15Updated 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:
- code for Deep Neural Helmholtz Operators for 3D Elastic Wave Propagation and Inversion☆25Updated 5 months ago
- Code to run 3D simulations of the elastic wave equation and predict outputs with 3D neural operators☆35Updated 4 months ago
- ☆45Updated 2 years ago
- Elastic Full Waveform Inversion for Subsurface Flow Problems Using Intrusive Automatic Differentiation☆45Updated 4 years ago
- Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robus…☆27Updated last year
- Repository for sharing code and data assocaited with En-DeepONet architecture☆35Updated last year
- ☆59Updated 4 years ago
- Integrating Devito operators into PyTorch☆12Updated 4 years ago
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆14Updated last year
- Neural Eikonal Solver: framework for modeling traveltimes via solving eikonal equation using neural networks☆43Updated last year
- ☆37Updated 2 years ago
- ☆114Updated last week
- ☆14Updated 2 years ago
- A General Approach to Seismic Inversion Problems using Automatic Differentiation☆78Updated 3 years ago
- ☆43Updated 2 years ago
- ☆39Updated last year
- ☆13Updated last year
- Deep-learning iterative solver for the heterogeneous 2D Helmholtz equation☆32Updated 2 years ago
- Use Fourier transform to learn operators in differential equations.☆16Updated 2 years ago
- ☆19Updated 4 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
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- ☆12Updated last year
- this is a case of seismic wave forward and inversion using PINN(physical-informed neural network)☆17Updated 3 years ago
- Code for "Broadband Ground Motion Synthesis via Generative Adversarial Neural Operators: Development and Validation" BSSA 2024☆11Updated 4 months ago
- Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators☆23Updated last year
- A collection of codes with OpenFWI project☆149Updated 6 months ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆27Updated 2 years ago
- Generator of 2D gaussian random fields☆52Updated 3 years ago
- Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.☆32Updated last year