Alternatives and similar repositories for SuperBench

Users that are interested in SuperBench are comparing it to the libraries listed below

• vivekoommen / NeuralOperator_DiffusionModel
  ☆49Updated 10 months ago
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆40Updated 10 months ago
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆102Updated last year
• PredictiveIntelligenceLab / cvit
  ☆54Updated 5 months ago
• thu-ml / GNOT
  ☆87Updated 2 years ago
• BaratiLab / OFormer
  ☆89Updated last year
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆53Updated last year
• csccm-iitd / WNO
  ☆67Updated 4 months ago
• somdattagoswami / Approximating-StiffKinetics
  ☆12Updated last year
• ShashankSubramanian / neuraloperators-TL-scaling
  Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
  ☆51Updated 2 years ago
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆54Updated last year
• VLSF / SNO
  Spectral Neural Operator
  ☆79Updated 2 years ago
• camlab-ethz / DSE-for-NeuralOperators
  Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"
  ☆24Updated last year
• camlab-ethz / GAOT
  [NeurIPS 2025] Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains
  ☆68Updated 2 months ago
• scaomath / torch-cfd
  [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆69Updated last month
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆67Updated last year
• continuous-pde / continuous-pde
  ☆14Updated last year
• neuraloperator / CoDA-NO
  Codomain attention neural operator for single to multi-physics PDE adaptation.
  ☆74Updated 7 months ago
• camlab-ethz / ConvolutionalNeuralOperator
  This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
  ☆204Updated last month
• nickmcgreivy / WeakBaselinesMLPDE
  ☆29Updated last year
• anthonyzhou-1 / ldm_pdes
  ☆37Updated 6 months ago
• tum-pbs / apebench
  [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…
  ☆95Updated 2 months ago
• camlab-ethz / rigno
  Graph-based operator learning in arbitrary geometries
  ☆33Updated 3 weeks ago
• HaoZhongkai / GNOT
  ☆59Updated 2 years ago
• thuml / Latent-Spectral-Models
  About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664
  ☆79Updated 9 months ago
• cambridge-mlg / pdediff
  Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".
  ☆26Updated last year
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆168Updated 9 months ago
• sifanexisted / fundiff
  ☆70Updated 2 months ago
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆75Updated 8 months ago
• nickhnelsen / fourier-neural-mappings
  An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.
  ☆19Updated 3 months ago