☆54Sep 17, 2024Updated last year
Alternatives and similar repositories for SuperBench
Users that are interested in SuperBench are comparing it to the libraries listed below
Sorting:
- ☆59Jul 10, 2023Updated 2 years ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆25Jun 3, 2025Updated 8 months ago
- ☆90Sep 2, 2024Updated last year
- Spectral Neural Operator☆79Dec 20, 2023Updated 2 years ago
- Physics-informed deep super-resolution of spatiotemporal data☆49Sep 5, 2023Updated 2 years ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆19Sep 3, 2024Updated last year
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆109Dec 13, 2024Updated last year
- ☆29Jul 8, 2024Updated last year
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆68Jan 1, 2025Updated last year
- ☆26Jun 12, 2025Updated 8 months ago
- [ICML 2024] Official PyTorch implementation of the Vectorized Conditional Neural Field.☆16Aug 1, 2024Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Jun 10, 2024Updated last year
- ☆19Oct 17, 2021Updated 4 years ago
- ☆15Oct 25, 2021Updated 4 years ago
- Official repository for Physics Informed Token Transformer (PITT)☆24Feb 24, 2024Updated 2 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆25May 30, 2023Updated 2 years ago
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆48Jan 31, 2024Updated 2 years ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆29May 30, 2025Updated 9 months ago
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆32Nov 10, 2025Updated 3 months ago
- This repository contains code for data-driven LES of two-dimensional turbulence.☆11Dec 11, 2021Updated 4 years ago
- Code to train a Multiple-Input Fourier Neural Operator (MIFNO) to predict the solution of 3D source-dependent Partial Differential Equati…☆12Jan 11, 2026Updated last month
- ☆117Feb 5, 2025Updated last year
- ☆36Jun 17, 2022Updated 3 years ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆99Nov 11, 2025Updated 3 months ago
- Code of ICML paper arxiv.org/abs/2302.08105☆14May 4, 2023Updated 2 years ago
- Stochastic Physics-Informed Neural Networks: A Moment-Matching Framework for Learning Hidden Physics within Stochastic Differential Equat…☆14Dec 21, 2021Updated 4 years ago
- A curated paper list for "Foundation Neural Operators: A Survey on Pretraining Methods, Data Ecosystems, and Efficient Adaptation".☆32Feb 14, 2026Updated 2 weeks ago
- ☆13Mar 11, 2025Updated 11 months ago
- ☆14Feb 18, 2024Updated 2 years ago
- ☆290Sep 14, 2024Updated last year
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆76Nov 21, 2025Updated 3 months ago
- Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)☆15Aug 1, 2021Updated 4 years ago
- [ICLR26 Oral] RealPDEBench: A Benchmark for Complex Physical Systems with Paired Real-World and Simulated Data☆39Updated this week
- [ICLR 2023] Factorized Fourier Neural Operators☆189Oct 13, 2023Updated 2 years ago
- ☆16Aug 6, 2024Updated last year
- finite difference based eigensolving for Maxwell's equations and photonic structures☆14Oct 28, 2021Updated 4 years ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆208Nov 24, 2025Updated 3 months ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93May 11, 2022Updated 3 years ago
- redbKIT is a MATLAB library for reduced-order modeling of parametrized PDEs☆65Aug 26, 2024Updated last year