Alternatives and similar repositories for hippyflow

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

• Willcox-Research-Group / rom-operator-inference-Python3
  Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.
  ☆77Updated 2 months ago
• Zhengyu-Huang / Operator-Learning
  ☆45Updated 3 years ago
• nickmcgreivy / WeakBaselinesMLPDE
  ☆29Updated last year
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆41Updated 2 years ago
• nn4pde / SPINN
  Sparse Physics-based and Interpretable Neural Networks
  ☆52Updated 4 years ago
• kailaix / AdFem.jl
  Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling
  ☆87Updated 4 years ago
• tomoleary / dino
  Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
  ☆17Updated last year
• nw2190 / ConvPDE
  Convolutional Solvers for Partial Differential Equations
  ☆27Updated 5 years ago
• remcovandermeer / Optimally-Weighted-PINNs
  ☆42Updated 5 years ago
• marinlauber / 2D-Turbulence-Python
  Simple OOP Python Code to run some Pseudo-Spectral 2D Simulations of Turbulence
  ☆69Updated 2 years ago
• llnl / LaSDI
  ☆55Updated 2 years ago
• snagcliffs / parametric-discovery
  ☆26Updated 7 years ago
• CraigGin / PDEKoopman2
  Update PDEKoopman code to Tensorflow 2
  ☆23Updated 4 years ago
• sandialabs / UQTk
  Sandia Uncertainty Quantification Toolkit
  ☆84Updated last year
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆69Updated 5 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…
  ☆22Updated 4 years ago
• brekmeuris / DrMZ.jl
  Deep renormalized Mori-Zwanzig (DrMZ) Julia package.
  ☆17Updated 2 years ago
• cselab / odil
  ODIL (Optimizing a Discrete Loss) is a Python framework for solving inverse and data assimilation problems for partial differential equat…
  ☆129Updated 3 weeks ago
• juansensio / nangs
  Solving PDEs with NNs
  ☆55Updated 2 years ago
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆54Updated 3 years ago
• PKU-CMEGroup / InverseProblems.jl
  ☆117Updated last week
• PredictiveIntelligenceLab / USNCCM15-Short-Course-Recent-Advances-in-Physics-Informed-Deep-Learning
  ☆118Updated 6 years ago
• caidao22 / pnode
  A Python library for training neural ODEs.
  ☆26Updated 10 months ago
• amkatrutsa / dmg
  Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf
  ☆19Updated 7 months ago
• cics-nd / ar-pde-cnn
  Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs
  ☆93Updated 3 years ago
• barkm / torch-fenics
  PyTorch-FEniCS interface
  ☆103Updated 4 years ago
• ketch / PseudoSpectralPython
  A short course in pseudospectral collocation methods for wave equations, with implementations in Python.
  ☆62Updated 3 months ago
• pswpswpsw / nif
  A library for dimensionality reduction on spatial-temporal PDE
  ☆70Updated last year
• PhIMaL / DeePyMoD_torch
  Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]
  ☆33Updated 2 years ago
• llnl / GPLaSDI
  Gaussian process-based interpretable latent space dynamics identification through deep autoencoder
  ☆35Updated last month