Alternatives and similar repositories for VB-DeepONet

Users that are interested in VB-DeepONet are comparing it to the libraries listed below

• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆41Updated 4 months ago
• isds-neu / PiSL
  A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
  ☆26Updated 3 years ago
• lu-group / deeponet-extrapolation
  DeepONet extrapolation
  ☆27Updated 2 years ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆38Updated 3 months ago
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆62Updated 2 months ago
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆36Updated 2 years ago
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆31Updated 3 months ago
• dmusekamp / al4pde
  AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers
  ☆25Updated 3 weeks ago
• jayroxis / qres
  Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)
  ☆16Updated 4 years ago
• delta-lab-ai / pde-controller
  ☆20Updated 2 weeks ago
• AI4Science-WestlakeU / le-pde-uq
  [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both…
  ☆16Updated last year
• tianshao1992 / DENO4pytorch
  Differential equation neural operator
  ☆22Updated last year
• camlab-ethz / DSE-for-NeuralOperators
  Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"
  ☆19Updated last year
• Zhengyu-Huang / Operator-Learning
  ☆41Updated 2 years ago
• chiuph / CAN-PINN
  Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)
  ☆28Updated last year
• PredictiveIntelligenceLab / UQDeepONet
  ☆10Updated 2 years ago
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆33Updated 3 years ago
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆86Updated 6 months ago
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆46Updated last year
• scaomath / torch-cfd
  [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆43Updated last week
• RizaXudayi / VarNet
  Variational Neural Networks for the Solution of Partial Differential Equations
  ☆8Updated 5 years ago
• vivekoommen / NPJCOMPUMATS-03747
  Learning two-phase microstructure evolution using neural operators and autoencoder architectures
  ☆23Updated last year
• nec-research / CAPE-ML4Sci
  ☆13Updated 10 months ago
• jaggbow / magnet
  This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495
  ☆37Updated 2 years ago
• csccm-iitd / WNO
  ☆56Updated 5 months ago
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆11Updated last year
• HewlettPackard / separable-operator-networks
  Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.
  ☆26Updated 7 months ago
• ncsa / GeomDeepONet
  A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…
  ☆16Updated 11 months ago
• TapasTripura / WNO
  Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems
  ☆36Updated 5 months ago
• felix-lyx / prose
  PROSE: Predicting Multiple Operators and Symbolic Expressions
  ☆26Updated 2 months ago