Alternatives and similar repositories for cvit

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

• thu-ml / GNOT
  ☆82Updated 2 years ago
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆62Updated last year
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆54Updated last year
• BaratiLab / OFormer
  ☆85Updated last year
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆99Updated 9 months ago
• HaoZhongkai / GNOT
  ☆52Updated 2 years ago
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆52Updated last year
• scaomath / torch-cfd
  [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆62Updated 3 months ago
• LouisSerrano / coral
  ☆32Updated last year
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023
  ☆73Updated last year
• camlab-ethz / DSE-for-NeuralOperators
  Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"
  ☆22Updated last year
• cambridge-mlg / pdediff
  Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".
  ☆26Updated 11 months ago
• neuraloperator / CoDA-NO
  Codomain attention neural operator for single to multi-physics PDE adaptation.
  ☆67Updated 4 months ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆46Updated 6 months ago
• LouisSerrano / aroma
  ☆21Updated 2 months ago
• AI4Science-WestlakeU / wdno
  [ICLR2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.
  ☆45Updated 3 weeks ago
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆155Updated 5 months ago
• TapasTripura / WNO
  Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems
  ☆44Updated last month
• ashiq24 / UNO
  ☆62Updated 6 months ago
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆21Updated 4 months ago
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆69Updated 5 months ago
• VLSF / SNO
  Spectral Neural Operator
  ☆78Updated last year
• AI4Science-WestlakeU / beno
  [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values
  ☆29Updated 10 months ago
• anthonyzhou-1 / ldm_pdes
  ☆33Updated 2 months ago
• stnamjef / SPINN
  [NeurIPS 2023 Spotlight] Separable Physics-Informed Neural Networks
  ☆78Updated last year
• optray / PIANO
  This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…
  ☆13Updated last year
• tum-pbs / pde-transformer
  PDE-Transformer is a neural network architecture designed to efficiently process and predict the evolution of physical systems described …
  ☆51Updated last month
• camlab-ethz / ConvolutionalNeuralOperator
  This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
  ☆191Updated 5 months ago
• sifanexisted / fundiff
  ☆44Updated this week
• csccm-iitd / WNO
  ☆60Updated last month