Code for paper "Multiple Physics Pretraining for Physical Surrogate Models
☆207Dec 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 last year
- ☆89Jul 18, 2023Updated 2 years ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆56Mar 23, 2024Updated 2 years ago
- [ICML 2024] Official PyTorch implementation of the Vectorized Conditional Neural Field.☆18Aug 1, 2024Updated last year
- ☆302Sep 14, 2024Updated last year
- 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.
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆69Jun 10, 2024Updated last year
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆184Apr 10, 2025Updated last year
- ☆38Jul 9, 2025Updated 10 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆55Jun 10, 2024Updated last year
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆53May 31, 2023Updated 2 years ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,139Mar 30, 2026Updated last month
- Repo to the paper "Message Passing Neural PDE Solvers"☆147Sep 11, 2024Updated last year
- ☆93Sep 2, 2024Updated last year
- Multimodal contrastive pretraining for astronomical data☆179Dec 17, 2025Updated 5 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆36Nov 10, 2025Updated 6 months ago
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆27Nov 6, 2024Updated last year
- ☆24Jul 17, 2025Updated 10 months ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆219Nov 24, 2025Updated 5 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆74Jan 13, 2024Updated 2 years ago
- Multiwavelets-based operator model☆70Feb 16, 2022Updated 4 years ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆101May 11, 2026Updated last week
- ICON for in-context operator learning☆65May 3, 2026Updated 2 weeks ago
- Repository for code used in the xVal paper☆150Apr 4, 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.
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆330Feb 26, 2026Updated 2 months ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆278Oct 25, 2025Updated 6 months ago
- ☆45Sep 2, 2025Updated 8 months ago
- Code of ICML paper arxiv.org/abs/2302.08105☆14May 4, 2023Updated 3 years ago
- Code for the paper Universal Physics Transformers☆159Jul 2, 2025Updated 10 months ago
- ☆58Apr 1, 2025Updated last year
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆35Dec 7, 2025Updated 5 months ago
- Solving Inverse Physics Problems with Score Matching☆34Dec 4, 2023Updated 2 years ago
- ☆42Jul 22, 2024Updated last year
- 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.
- PDE-Transformer is a neural network architecture designed to efficiently process and predict the evolution of physical systems described …☆83Apr 11, 2026Updated last month
- ☆57Jul 21, 2025Updated 9 months ago
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆80Jun 5, 2025Updated 11 months ago
- PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Mo…☆229May 28, 2023Updated 2 years ago
- ☆54Mar 12, 2025Updated last year
- ☆26May 21, 2024Updated last year
- A 15TB Collection of Physics Simulation Datasets☆3,292Mar 25, 2026Updated last month