mikemccabe210 / stabilizing_neural_operatorsLinks
☆20Updated 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 6 months ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆16Updated last year
- Official implementation of Scalable Transformer for PDE surrogate modelling☆52Updated last year
- 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☆43Updated 3 weeks ago
- ☆48Updated last month
- The public repository about our joint FINN research project☆38Updated 2 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Updated last year
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆34Updated last year
- ☆13Updated last year
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆65Updated 3 months ago
- ☆46Updated 6 months ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆37Updated 2 years ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆22Updated last year
- ☆81Updated 2 years ago
- ☆22Updated 3 months ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆96Updated 9 months ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆46Updated 2 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆59Updated last year
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Updated 4 years ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆55Updated 2 months ago
- ☆50Updated last year
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆74Updated 5 months ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆27Updated 2 years ago
- Spectral Neural Operator☆78Updated last year
- Differential equation neural operator☆23Updated 2 years ago
- Graph-based operator learning in arbitrary geometries☆25Updated 5 months ago
- PDE-Transformer is a neural network architecture designed to efficiently process and predict the evolution of physical systems described …☆49Updated last month
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆28Updated 5 months ago
- [ICLR2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆43Updated last week