atzberg / geo_neural_opLinks
Geometric Neural Operators (GNPs) for machine learning tasks on point-cloud representations: curvature estimation, shape deformations, solvers for geometric PDEs. Also, includes weights of pretrained transferable GNP models.
☆31Updated last month
Alternatives and similar repositories for geo_neural_op
Users that are interested in geo_neural_op are comparing it to the libraries listed below
Sorting:
- ☆36Updated 6 months ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆36Updated last year
- Code for Mesh Transformer describes in the EAGLE dataset☆42Updated 11 months ago
- Graph-based operator learning in arbitrary geometries☆34Updated last month
- [NeurIPS 2025] Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains☆73Updated 3 months ago
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆40Updated 10 months ago
- ☆49Updated 10 months ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆96Updated 2 months ago
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆82Updated last year
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆25Updated 7 months ago
- ☆30Updated 3 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆71Updated last month
- Separabale Physics-Informed DeepONets in JAX☆21Updated last year
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆102Updated last year
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆19Updated 3 months ago
- ☆45Updated 3 years ago
- Here you find the Spectral Operator Learning Under construcTION☆20Updated last year
- ☆29Updated last year
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆48Updated 2 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆76Updated 9 months ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆69Updated 2 months ago
- Spectral Neural Operator☆79Updated 2 years ago
- The public repository about our joint FINN research project☆38Updated 3 years ago
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆74Updated 7 months ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆19Updated last year
- Code for the paper "Generative AI for fast and accurate statistical computation of fluids"☆48Updated 5 months ago
- MIONet: Learning multiple-input operators via tensor product☆44Updated 3 years ago
- ☆40Updated 2 years ago
- Code for the paper Universal Physics Transformers☆149Updated 6 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆73Updated 2 years ago