Alternatives and similar repositories for HyperNOs

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

• PredictiveIntelligenceLab / NOMAD
  ☆16Updated last year
• MariusZeinhofer / Natural-Gradient-PINNs-ICML23
  This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…
  ☆25Updated last year
• delta-lab-ai / pde-controller
  ☆24Updated 5 months ago
• Zhengyu-Huang / Operator-Learning
  ☆45Updated 3 years ago
• pehersto / ng
  Neural Galerkin
  ☆16Updated 2 years ago
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆19Updated last year
• jtoleary / SPINN
  Stochastic Physics-Informed Neural Networks: A Moment-Matching Framework for Learning Hidden Physics within Stochastic Differential Equat…
  ☆14Updated 3 years ago
• ShashankSubramanian / neuraloperators-TL-scaling
  Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
  ☆49Updated 2 years ago
• lmandl / separable-PI-DeepONet
  Separabale Physics-Informed DeepONets in JAX
  ☆16Updated last year
• fpichi / gca-rom
  GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.
  ☆36Updated 3 weeks ago
• VLSF / SNO
  Spectral Neural Operator
  ☆78Updated last year
• nickmcgreivy / WeakBaselinesMLPDE
  ☆29Updated last year
• ASK-Berkeley / Neural-Spectral-Methods
  [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.
  ☆47Updated last year
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆42Updated 9 months ago
• kopanicakova / HINTS_precond
  This repository contains code, which was used to generate large-scale results in the HINTS paper.
  ☆34Updated last year
• PredictiveIntelligenceLab / LOCA
  ☆15Updated 2 years ago
• elizqian / operator-inference
  ☆10Updated 2 years ago
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆19Updated last year
• HewlettPackard / separable-operator-networks
  Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.
  ☆37Updated last year
• comp-physics / CPINN
  Competitive Physics Informed Networks
  ☆32Updated last year
• cianmscannell / pinns
  Physics-informed neural networks
  ☆16Updated 5 years ago
• pde-sim / teng
  Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"
  ☆14Updated last year
• PredictiveIntelligenceLab / PDE-constrained-optimization-PI-DeepONet
  ☆14Updated 4 years ago
• mroberto166 / nio
  ☆38Updated 2 years ago
• dmusekamp / al4pde
  AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers
  ☆29Updated 6 months ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆35Updated last year
• PredictiveIntelligenceLab / ImprovedDeepONets
  ☆29Updated 3 years ago
• neuraloperator / markov_neural_operator
  ☆39Updated 3 months ago
• NicolaRFranco / dlroms
  ☆12Updated last week
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆53Updated last year