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:
- ☆45Updated 3 years ago
- ☆41Updated 2 years ago
- code for Deep Neural Helmholtz Operators for 3D Elastic Wave Propagation and Inversion☆29Updated 8 months ago
- Repository for sharing code and data assocaited with En-DeepONet architecture☆35Updated 2 years ago
- Integrating Devito operators into PyTorch☆12Updated 4 years ago
- Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robus…☆34Updated 2 years ago
- Code for "Broadband Ground Motion Synthesis via Generative Adversarial Neural Operators: Development and Validation" BSSA 2024☆14Updated 7 months ago
- Code to run 3D simulations of the elastic wave equation and predict outputs with 3D neural operators☆41Updated 7 months ago
- Elastic Full Waveform Inversion for Subsurface Flow Problems Using Intrusive Automatic Differentiation☆50Updated 4 years ago
- ☆14Updated last year
- ☆117Updated this week
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆15Updated last year
- Physics-Informed Neural Networks designed to solve the Two-Dimensional Wave Equation in both TensorFlow and PyTorch. Code is designed to …☆17Updated 3 years ago
- ☆15Updated 2 years ago
- ☆60Updated 4 years ago
- ☆13Updated 2 years ago
- Use Fourier transform to learn operators in differential equations.☆19Updated 3 years ago
- Practicum on Supervised Learning in Function Spaces☆34Updated 3 years ago
- ☆40Updated last year
- Neural Eikonal Solver: framework for modeling traveltimes via solving eikonal equation using neural networks☆44Updated last year
- Fourier-MIONet: Fourier-enhanced multiple-input neural operators for multiphase modeling of geological carbon sequestration☆18Updated last year
- Deep-learning iterative solver for the heterogeneous 2D Helmholtz equation☆32Updated 3 years ago
- ☆47Updated 2 years ago
- ☆20Updated 4 years ago
- A General Approach to Seismic Inversion Problems using Automatic Differentiation☆82Updated 3 years ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆28Updated 2 years ago
- ☆10Updated 2 years ago
- The first global synthetic dataset for physics-ML seismic wavefield modeling and full-waveform inversion☆21Updated last year
- Distributed Fourier Neural Operators☆31Updated 3 years ago
- SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain☆19Updated last year