PDE-Transformer is a neural network architecture designed to efficiently process and predict the evolution of physical systems described by partial differential equations.
☆68Oct 29, 2025Updated 5 months ago
Alternatives and similar repositories for pde-transformer
Users that are interested in pde-transformer are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆26Nov 6, 2024Updated last year
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆74Jan 13, 2024Updated 2 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆68Jun 10, 2024Updated last year
- ☆56Jul 21, 2025Updated 8 months ago
- About Code release for “DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction” (NeurIPS 2024), https://arxiv.org/a…☆21Oct 31, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆32Nov 10, 2025Updated 4 months ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆78Nov 21, 2025Updated 4 months ago
- ☆88Jul 18, 2023Updated 2 years ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆211Nov 24, 2025Updated 4 months ago
- ☆23Jul 17, 2025Updated 8 months ago
- Code for orthogonal neural operator☆18Oct 15, 2023Updated 2 years ago
- Code for Mesh Transformer describes in the EAGLE dataset☆42Feb 21, 2025Updated last year
- [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆59Mar 8, 2026Updated 3 weeks ago
- Code for the paper LaM-SLidE - Latent Space Modeling of Spatial Dynamical Systems via Linked Entities☆26May 23, 2025Updated 10 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆99Nov 11, 2025Updated 4 months ago
- ☆56Apr 1, 2025Updated 11 months ago
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆19Oct 13, 2025Updated 5 months ago
- ☆296Sep 14, 2024Updated last year
- MIONet: Learning multiple-input operators via tensor product☆44Nov 13, 2022Updated 3 years ago
- [TMLR] CodePDE: An Inference Framework for LLM-driven PDE Solver Generation☆71Feb 12, 2026Updated last month
- ☆25May 21, 2024Updated last year
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆82Apr 10, 2025Updated 11 months ago
- Integrating Large Weather Models with Data Assimilation☆22Jun 2, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- Code for the paper Universal Physics Transformers☆154Jul 2, 2025Updated 8 months ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆25Jun 3, 2025Updated 9 months ago
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆300Feb 26, 2026Updated last month
- Code for paper "Multiple Physics Pretraining for Physical Surrogate Models☆191Dec 6, 2024Updated last year
- Official implementation of Diffusion Graph Networks (DGNs)☆78Mar 17, 2025Updated last year
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆86Nov 4, 2024Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Jun 10, 2024Updated last year
- GINOT is a deep learning model that combines transformers with neural operators for accurate forward predictions on arbitrary 2D and 3D g…☆31Jan 20, 2026Updated 2 months ago
- Official implementation of "Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation"☆56Mar 19, 2026Updated last week
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Machine Learning with MATLAB live scripts☆10Sep 16, 2024Updated last year
- ☆10Mar 31, 2023Updated 2 years ago
- Code for the paper: Probabilistic Forecasting with Stochastic Interpolants and Follmer Processes☆18Aug 18, 2024Updated last year
- PaiNN in jax☆11Jan 14, 2025Updated last year
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆76Jun 5, 2025Updated 9 months ago
- ONNX SEA-RAFT, optical flow☆14Jan 5, 2026Updated 2 months ago
- A GNN-based PDE solver without pre-computed data☆41Jun 11, 2025Updated 9 months ago