Code for paper "Multiple Physics Pretraining for Physical Surrogate Models
☆219Dec 6, 2024Updated 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆14Aug 22, 2024Updated 2 years ago
- ☆95Jul 18, 2023Updated 3 years ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆58Mar 23, 2024Updated 2 years ago
- [ICML 2024] Official PyTorch implementation of the Vectorized Conditional Neural Field.☆18Aug 1, 2024Updated 2 years ago
- ☆313Sep 14, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆74Jun 10, 2024Updated 2 years ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆196Apr 10, 2025Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆61Jun 10, 2024Updated 2 years ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,201Mar 30, 2026Updated 5 months ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆55May 31, 2023Updated 3 years ago
- A comprehensive benchmark for machine learning multiphysics flows☆21Feb 3, 2026Updated 7 months ago
- Multimodal contrastive pretraining for astronomical data☆182Dec 17, 2025Updated 9 months ago
- ☆40Jul 9, 2025Updated last year
- ☆43Jul 22, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Repo to the paper "Message Passing Neural PDE Solvers"☆151Sep 11, 2024Updated 2 years ago
- ☆97Sep 2, 2024Updated 2 years ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆109Jun 1, 2026Updated 3 months ago
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆37Nov 10, 2025Updated 10 months ago
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆29Nov 6, 2024Updated last year
- MORPH: PDE Foundation Models with Arbitrary Data Modality☆29Jun 18, 2026Updated 3 months ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆231Nov 24, 2025Updated 9 months ago
- Multiwavelets-based operator model☆70Feb 16, 2022Updated 4 years ago
- ☆18Aug 17, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆75Jan 13, 2024Updated 2 years ago
- ☆29Jun 12, 2025Updated last year
- Repository for code used in the xVal paper☆155Apr 4, 2024Updated 2 years ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆118Dec 13, 2024Updated last year
- ICON for in-context operator learning☆69May 3, 2026Updated 4 months ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆298Oct 25, 2025Updated 10 months ago
- Code of ICML paper arxiv.org/abs/2302.08105☆14May 4, 2023Updated 3 years ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆42Jun 21, 2024Updated 2 years ago
- Solving Inverse Physics Problems with Score Matching☆33Dec 4, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆34Aug 14, 2026Updated last month
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆410Feb 26, 2026Updated 6 months ago
- ☆29Oct 30, 2023Updated 2 years ago
- ☆29Jul 17, 2025Updated last year
- PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Mo…☆232May 28, 2023Updated 3 years ago
- ENMA: Tokenwise Autoregression for Generative Neural PDE Operators☆20Sep 8, 2026Updated last week
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆78Jun 5, 2025Updated last year