Alternatives and similar repositories for VB-DeepONet

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

• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆38Updated 2 years ago
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆35Updated 6 months ago
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆41Updated 6 months ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆46Updated 6 months ago
• jayroxis / qres
  Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)
  ☆16Updated 4 years ago
• SuihongSong / Physics-informed_multi-grid_neural_operator
  ☆22Updated last year
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆69Updated 4 months ago
• dmusekamp / al4pde
  AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers
  ☆27Updated 3 months ago
• tianshao1992 / DENO4pytorch
  Differential equation neural operator
  ☆23Updated 2 years ago
• isds-neu / PiSL
  A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
  ☆27Updated 3 years ago
• delta-lab-ai / pde-controller
  ☆22Updated 3 months ago
• csccm-iitd / WNO
  ☆59Updated 3 weeks ago
• HewlettPackard / separable-operator-networks
  Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.
  ☆29Updated 10 months ago
• vivekoommen / NPJCOMPUMATS-03747
  Learning two-phase microstructure evolution using neural operators and autoencoder architectures
  ☆25Updated last year
• ncsa / GeomDeepONet
  A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…
  ☆20Updated last year
• lu-group / deeponet-extrapolation
  Reliable extrapolation of deep neural operators informed by physics or sparse observations
  ☆27Updated 2 years ago
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆33Updated 3 years ago
• xuangu-fang / Gaussian-Process-Slover-for-High-Freq-PDE
  Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)
  ☆24Updated last year
• katarzynamichalowska / don-lstm
  DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks
  ☆11Updated last week
• PredictiveIntelligenceLab / UQDeepONet
  ☆10Updated 2 years ago
• Zhengyu-Huang / Operator-Learning
  ☆42Updated 2 years ago
• somdattagoswami / Operator-Learning-for-aortic-aneurysms
  Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms
  ☆11Updated 10 months ago
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆16Updated last year
• scaomath / torch-cfd
  [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆55Updated 2 months ago
• camlab-ethz / DSE-for-NeuralOperators
  Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"
  ☆22Updated last year
• PredictiveIntelligenceLab / NOMAD
  ☆16Updated last year
• zhaoxiaoyu1995 / RecFNO
  This is the implementation of the RecFNO.
  ☆22Updated 2 years ago
• JacobSRPage / super-res-dynamical
  ☆11Updated 9 months ago
• ShashankSubramanian / neuraloperators-TL-scaling
  Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
  ☆46Updated 2 years ago
• YaoGroup / MultistageNN
  Codes associated with the manuscript titled "Multi-stage neural networks: Function approximator of machine precision"
  ☆46Updated last year