mikemccabe210 / stabilizing_neural_operatorsLinks
☆18Updated 9 months ago
Alternatives and similar repositories for stabilizing_neural_operators
Users that are interested in stabilizing_neural_operators are comparing it to the libraries listed below
Sorting:
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆35Updated 5 months ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆50Updated last year
- Domain Agnostic Fourier Neural Operators (DAFNO)☆15Updated 11 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆71Updated last year
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆42Updated last week
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆37Updated 2 years ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆73Updated 4 months ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆50Updated 2 months ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆22Updated last year
- ☆45Updated 5 months ago
- ☆13Updated last year
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆65Updated 2 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆53Updated last year
- Spectral Neural Operator☆78Updated last year
- ☆77Updated 2 years ago
- ☆46Updated last month
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆93Updated 8 months ago
- Graph-based operator learning in arbitrary geometries☆25Updated 4 months ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆26Updated 2 years ago
- About code release of "HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction", ICML 2024. https://arxiv.org/pdf/2310.…☆19Updated last year
- The public repository about our joint FINN research project☆38Updated 2 years ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆34Updated last year
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Updated 4 years ago
- ☆13Updated last year
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆29Updated 8 months ago
- Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs (AAAI 2024)☆14Updated last year
- ☆50Updated 11 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆58Updated last year
- Differential equation neural operator☆23Updated last year
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆25Updated 9 months ago