PDEBench: An Extensive Benchmark for Scientific Machine Learning
☆1,119Mar 30, 2026Updated last month
Alternatives and similar repositories for PDEBench
Users that are interested in PDEBench are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆298Sep 14, 2024Updated last year
- Learning in infinite dimension with neural operators.☆3,584Feb 24, 2026Updated 2 months ago
- ☆1,094Apr 9, 2026Updated 3 weeks ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆327Apr 16, 2026Updated 2 weeks ago
- ☆535Apr 1, 2025Updated last year
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆218Nov 24, 2025Updated 5 months ago
- Using graph network to solve PDEs☆444Jun 2, 2025Updated 10 months ago
- A differentiable PDE solving framework for machine learning☆1,864Apr 23, 2026Updated last week
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆183Apr 10, 2025Updated last year
- A library for scientific machine learning and physics-informed learning☆4,106Mar 1, 2026Updated 2 months ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆147Sep 11, 2024Updated last year
- ☆91Sep 2, 2024Updated last year
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆100Nov 11, 2025Updated 5 months ago
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆79Jun 5, 2025Updated 10 months ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆372Jul 14, 2023Updated 2 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆69Jun 10, 2024Updated last year
- ☆14Aug 22, 2024Updated last year
- Computational Fluid Dynamics in JAX☆944Feb 24, 2026Updated 2 months ago
- ☆89Jul 18, 2023Updated 2 years ago
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆327Feb 26, 2026Updated 2 months ago
- Code for paper "Multiple Physics Pretraining for Physical Surrogate Models☆202Dec 6, 2024Updated last year
- [ICLR 2023] Factorized Fourier Neural Operators☆191Oct 13, 2023Updated 2 years ago
- ☆420Nov 14, 2025Updated 5 months 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.
- [NeurIPS 2024] Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆418Feb 11, 2026Updated 2 months ago
- Spectral Neural Operator☆83Dec 20, 2023Updated 2 years ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆56Mar 23, 2024Updated 2 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆272Oct 25, 2025Updated 6 months ago
- ☆412Dec 3, 2022Updated 3 years ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆74Jan 13, 2024Updated 2 years ago
- [NeurIPS 2021] Galerkin Transformer: Neural Operator built on Attention for PDEs☆262Jun 14, 2024Updated last year
- A Library for Advanced Neural PDE Solvers.☆310Mar 10, 2026Updated last month
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆53May 31, 2023Updated 2 years 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.
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆81Nov 21, 2025Updated 5 months ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆19May 25, 2024Updated last year
- DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia☆293Sep 28, 2024Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆55Jun 10, 2024Updated last year
- Code for the paper Universal Physics Transformers☆157Jul 2, 2025Updated 9 months ago
- ☆48Dec 7, 2022Updated 3 years ago
- Must-read Papers on Physics-Informed Neural Networks.☆1,481Dec 8, 2023Updated 2 years ago