zabaras / transformer-physxLinks
Transformers for modeling physical systems
☆144Updated 2 years ago
Alternatives and similar repositories for transformer-physx
Users that are interested in transformer-physx are comparing it to the libraries listed below
Sorting:
- Characterizing possible failure modes in physics-informed neural networks.☆143Updated 3 years ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆139Updated last year
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆155Updated 6 months ago
- ☆273Updated last year
- ☆99Updated 4 years ago
- Spectral Neural Operator☆78Updated last year
- Implementation of the Deep Ritz method and the Deep Galerkin method☆60Updated 5 years ago
- ☆194Updated 6 months ago
- A library for dimensionality reduction on spatial-temporal PDE☆70Updated last year
- [ICLR 2023] Factorized Fourier Neural Operators☆175Updated 2 years ago
- Applications of PINOs☆136Updated 3 years ago
- ☆225Updated 4 years ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆82Updated 5 months ago
- ☆178Updated last year
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆194Updated 5 months ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆98Updated 10 months ago
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆81Updated 3 months ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆279Updated 4 months ago
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆157Updated 9 months ago
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆48Updated last year
- Example problems in Physics informed neural network in JAX☆81Updated 2 years ago
- ☆86Updated last year
- ☆363Updated last month
- ☆37Updated 2 years ago
- ☆126Updated 2 years ago
- Physics-informed learning of governing equations from scarce data☆154Updated 2 years ago
- Using graph network to solve PDEs☆419Updated 4 months ago
- ☆114Updated 8 months ago
- Code of ICML paper arxiv.org/abs/2302.08105☆14Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆74Updated 2 years ago