Alternatives and similar repositories for dmg

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

• brekmeuris / DrMZ.jl
  Deep renormalized Mori-Zwanzig (DrMZ) Julia package.
  ☆17Updated 2 years ago
• hippylib / hippyflow
  Dimension reduced surrogate construction for parametric PDE maps
  ☆38Updated last month
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆39Updated 3 years ago
• Zhengyu-Huang / Operator-Learning
  ☆44Updated 2 years ago
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆40Updated last year
• PredictiveIntelligenceLab / PDE-constrained-optimization-PI-DeepONet
  ☆14Updated 3 years ago
• nickmcgreivy / WeakBaselinesMLPDE
  ☆28Updated last year
• tomoleary / dino
  Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
  ☆16Updated last year
• barkm / torch-fenics
  PyTorch-FEniCS interface
  ☆102Updated 4 years ago
• yifanc96 / NonLinPDEs-GPsolver
  Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes
  ☆40Updated 2 months ago
• danielgreenfeld3 / Learning-to-optimize-multigrid-solvers
  ☆14Updated 6 years ago
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆33Updated 3 years ago
• pswpswpsw / paper-nif
  ☆39Updated 2 years ago
• kopanicakova / HINTS_precond
  This repository contains code, which was used to generate large-scale results in the HINTS paper.
  ☆30Updated 11 months ago
• remcovandermeer / Optimally-Weighted-PINNs
  ☆42Updated 5 years ago
• tum-pbs / diffSPH
  ☆37Updated last week
• tum-pbs / unrolling
  ☆17Updated 9 months ago
• nickhnelsen / fourier-neural-mappings
  An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.
  ☆20Updated last year
• sebastkm / hybrid-fem-nn
  ☆32Updated 3 years ago
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆69Updated 5 years ago
• dolfin-adjoint / pyadjoint
  The algorithmic differentation tool pyadjoint and add-ons.
  ☆104Updated this week
• mwoodward-cpu / LearningSPH
  Hierarchy of parameterized Smoothed Particle Hydrodynamics models trained with mixed mode AD and Sensitivity Analysis (SA)
  ☆12Updated 3 years ago
• caidao22 / pnode
  A Python library for training neural ODEs.
  ☆25Updated 7 months ago
• nn4pde / SPINN
  Sparse Physics-based and Interpretable Neural Networks
  ☆52Updated 4 years ago
• tumaer / jax-sph
  JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
  ☆75Updated 8 months ago
• camlab-ethz / GenCFD
  Code for the paper "Generative AI for fast and accurate statistical computation of fluids"
  ☆40Updated 2 months ago
• NBoulle / greenlearning
  Learning Green's functions of partial differential equations with deep learning.
  ☆71Updated last year
• weymouth / DataDrivenGMG.jl
  Data-driven Geometric Multi-Grid solver for the discrete Poisson equation
  ☆41Updated 3 years ago
• LLNL / LaSDI
  ☆54Updated 2 years ago
• panchgonzalez / nmor
  Deep learning framework for model reduction of dynamical systems
  ☆21Updated 4 years ago