PolymathicAI / multiple_physics_pretrainingLinks
Code for paper "Multiple Physics Pretraining for Physical Surrogate Models
☆185Updated last year
Alternatives and similar repositories for multiple_physics_pretraining
Users that are interested in multiple_physics_pretraining are comparing it to the libraries listed below
Sorting:
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆74Updated 7 months ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆168Updated 9 months ago
- ☆284Updated last year
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆94Updated 2 months ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆102Updated last year
- Code for the paper Universal Physics Transformers☆149Updated 6 months ago
- ☆106Updated 9 months ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆203Updated last month
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆51Updated 2 years ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆142Updated last year
- Spectral Neural Operator☆79Updated 2 years ago
- Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy☆94Updated 2 weeks ago
- Official PyTorch implementation of the Vectorized Conditional Neural Field.☆16Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆67Updated last year
- Datasets and code for results presented in the ProbConserv paper☆56Updated last year
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆56Updated 2 years ago
- Solving Inverse Physics Problems with Score Matching☆31Updated 2 years ago
- ☆89Updated last year
- A library for dimensionality reduction on spatial-temporal PDE☆71Updated 2 weeks ago
- ☆87Updated 2 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Updated last year
- PDE-Transformer is a neural network architecture designed to efficiently process and predict the evolution of physical systems described …☆65Updated 2 months ago
- [ICLR2025 Spotlight] Official implementation of Conflict-Free Inverse Gradients Method☆99Updated last month
- Applications of PINOs☆143Updated 3 years ago
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆31Updated 2 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆73Updated 2 years ago
- ☆54Updated 5 months ago
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆48Updated last year
- Official implementation of Scalable Transformer for PDE surrogate modelling☆53Updated last year
- Official implementation of NeurIPS 2024 paper "DiffusionPDE: Generative PDE-Solving Under Partial Observation"☆160Updated 8 months ago