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
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆53Updated last year
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆106Updated last year
• thu-ml / GNOT
  ☆86Updated 2 years ago
• VLSF / SNO
  Spectral Neural Operator
  ☆79Updated 2 years ago
• somdattagoswami / Approximating-StiffKinetics
  ☆12Updated last year
• BaratiLab / OFormer
  ☆90Updated last year
• scaomath / torch-cfd
  [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆72Updated 2 months ago
• nickmcgreivy / WeakBaselinesMLPDE
  ☆29Updated last year
• PredictiveIntelligenceLab / cvit
  ☆53Updated 6 months ago
• camlab-ethz / DSE-for-NeuralOperators
  Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"
  ☆24Updated last year
• ShashankSubramanian / neuraloperators-TL-scaling
  Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
  ☆51Updated 2 years ago
• csccm-iitd / WNO
  ☆68Updated 5 months ago
• continuous-pde / continuous-pde
  ☆14Updated last year
• neuraloperator / CoDA-NO
  Codomain attention neural operator for single to multi-physics PDE adaptation.
  ☆74Updated 8 months ago
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆66Updated last year
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆54Updated last year
• camlab-ethz / ConvolutionalNeuralOperator
  This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
  ☆205Updated 2 months ago
• liu-ziyuan-math / spectral_operator_learning
  Here you find the Spectral Operator Learning Under construcTION
  ☆20Updated last year
• HaoZhongkai / GNOT
  ☆58Updated 2 years ago
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆168Updated 9 months ago
• camlab-ethz / GAOT
  [NeurIPS 2025] Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains
  ☆73Updated 3 months ago
• TapasTripura / WNO
  Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems
  ☆51Updated 5 months ago
• zhaoxiaoyu1995 / RecFNO
  This is the implementation of the RecFNO.
  ☆25Updated 2 years ago
• pswpswpsw / nif
  A library for dimensionality reduction on spatial-temporal PDE
  ☆71Updated last month
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆76Updated 9 months ago
• LouisSerrano / coral
  ☆40Updated last year
• 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
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆42Updated 11 months ago