TapasTripura / WNOView external linksLinks
Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems
☆52Aug 19, 2025Updated 5 months ago
Alternatives and similar repositories for WNO
Users that are interested in WNO are comparing it to the libraries listed below
Sorting:
- ☆24Dec 21, 2023Updated 2 years ago
- ☆69Aug 19, 2025Updated 5 months ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆24May 13, 2024Updated last year
- Domain Agnostic Fourier Neural Operators (DAFNO)☆19Sep 3, 2024Updated last year
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆207Nov 24, 2025Updated 2 months ago
- [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆54Sep 10, 2025Updated 5 months ago
- [ICLR 2023] Factorized Fourier Neural Operators☆189Oct 13, 2023Updated 2 years ago
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆15May 27, 2024Updated last year
- 2nd Order Wave Equation PINN Solution/ TensorFlow & PyTorch☆32Aug 2, 2022Updated 3 years ago
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆74Jun 5, 2025Updated 8 months ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆304Jun 2, 2025Updated 8 months ago
- Here you find the Spectral Operator Learning Under construcTION☆20May 8, 2024Updated last year
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆25Jun 3, 2025Updated 8 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆66Jun 10, 2024Updated last year
- This is the implementation of the RecFNO.☆25Feb 21, 2023Updated 2 years ago
- [ICML 2024] Official implementation for the paper "Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for…☆15Nov 8, 2024Updated last year
- Learning two-phase microstructure evolution using neural operators and autoencoder architectures☆26Apr 25, 2024Updated last year
- code for Deep Neural Helmholtz Operators for 3D Elastic Wave Propagation and Inversion☆31May 16, 2025Updated 9 months ago
- Official implementation of NeurIPS 2024 paper "DiffusionPDE: Generative PDE-Solving Under Partial Observation"☆159Apr 29, 2025Updated 9 months ago
- [ICML 2023] Non-Uniform Neural Operator (NUNO)☆26Jul 3, 2023Updated 2 years ago
- Papers and codes of Physics-informed Deep Compositional Operator Network☆13Oct 31, 2025Updated 3 months ago
- Implementation for "DeltaPhi: Learning Physical Trajectory Residual for PDE Solving"☆13Jun 17, 2024Updated last year
- ☆87Jul 18, 2023Updated 2 years ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆167Sep 6, 2024Updated last year
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆30Dec 5, 2024Updated last year
- One-shot learning for solution operators of partial differential equations☆23Nov 20, 2025Updated 2 months ago
- This is an offical implementation of the MT Forward Modeling using the EFKAN as presented in the article: EFKAN: A KAN-Integrated Neural …☆11Jan 2, 2025Updated last year
- ☆19Apr 5, 2024Updated last year
- Use Fourier transform to learn operators in differential equations.☆22Jan 6, 2023Updated 3 years ago
- Code for "Broadband Ground Motion Synthesis via Generative Adversarial Neural Operators: Development and Validation" BSSA 2024☆14Jun 19, 2025Updated 7 months ago
- Solve the advection diffusion equations looped into an optimization problem with JAX/autodiff☆14May 8, 2025Updated 9 months ago
- GINOT is a deep learning model that combines transformers with neural operators for accurate forward predictions on arbitrary 2D and 3D g…☆24Jan 20, 2026Updated 3 weeks ago
- ☆41Jul 22, 2024Updated last year
- Applications of PINOs☆145Oct 10, 2022Updated 3 years ago
- ☆15Feb 3, 2023Updated 3 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆358Jul 14, 2023Updated 2 years ago
- ☆36May 3, 2023Updated 2 years ago
- SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain☆19May 5, 2024Updated last year
- Code for orthogonal neural operator☆18Oct 15, 2023Updated 2 years ago