Alternatives and similar repositories for HyperNOs:

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

• PredictiveIntelligenceLab / NOMAD
  ☆15Updated 7 months ago
• elizqian / operator-inference
  ☆10Updated last year
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆35Updated 2 years ago
• PredictiveIntelligenceLab / LOCA
  ☆13Updated last year
• PredictiveIntelligenceLab / PDE-constrained-optimization-PI-DeepONet
  ☆14Updated 3 years ago
• tumaer / SITE
  Sparse Identification of Truncation Errors (SITE) for Data-Driven Discovery of Modified Differential Equations
  ☆10Updated 5 years ago
• rmojgani / PhysicsAwareAE
  The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…
  ☆19Updated 2 years ago
• pehersto / ng
  Neural Galerkin
  ☆15Updated last year
• tomoleary / dino
  Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
  ☆17Updated last year
• stefaniafresca / DL-ROM
  Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.
  ☆15Updated last year
• caidao22 / pnode
  A Python library for training neural ODEs.
  ☆20Updated last month
• peterparity / symder
  SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations
  ☆20Updated 2 years ago
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆14Updated 6 months ago
• danielgreenfeld3 / Learning-to-optimize-multigrid-solvers
  ☆14Updated 5 years ago
• 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…
  ☆18Updated 5 months ago
• neuraloperator / markov_neural_operator
  ☆31Updated 9 months ago
• kimy-de / pinns
  Physics-informed neural networks (PINNs)
  ☆12Updated 2 years ago
• cianmscannell / pinns
  Physics-informed neural networks
  ☆14Updated 4 years ago
• mpimd-csc / RK4-SinDy
  ☆11Updated 3 years ago
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆36Updated 2 years ago
• panchgonzalez / nmor
  Deep learning framework for model reduction of dynamical systems
  ☆21Updated 4 years ago
• julesberman / CoLoRA
  ☆12Updated last year
• tum-pbs / SMDP
  Solving Inverse Physics Problems with Score Matching
  ☆22Updated last year
• arkadaw9 / r3_sampling_icml2023
  Official Github Repository for paper "Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (…
  ☆10Updated last year
• nickmcgreivy / WeakBaselinesMLPDE
  ☆25Updated 8 months ago
• shawnrosofsky / HAL-Physics-Informed-AI-Tutorial
  ☆16Updated 3 years ago
• akaptano / POD-Galerkin_MHD
  This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…
  ☆19Updated 3 years ago
• felix-lyx / prose
  PROSE: Predicting Multiple Operators and Symbolic Expressions
  ☆22Updated 2 weeks ago
• NBoulle / RationalNets
  Code for the paper "Rational neural networks", NeurIPS 2020
  ☆28Updated 4 years ago
• dmusekamp / al4pde
  AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers
  ☆21Updated last month