Alternatives and similar repositories for py2d

Users that are interested in py2d are comparing it to the libraries listed below

• brekmeuris / DrMZ.jl
  Deep renormalized Mori-Zwanzig (DrMZ) Julia package.
  ☆14Updated 2 years ago
• KTH-FlowAI / DeepReinforcementLearning_RayleighBenard2D_Control
  Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.
  ☆17Updated last year
• tum-pbs / unrolling
  ☆17Updated 6 months ago
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆40Updated last year
• 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
• tomoleary / dino
  Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
  ☆16Updated last year
• caidao22 / pnode
  A Python library for training neural ODEs.
  ☆23Updated 4 months ago
• nickmcgreivy / WeakBaselinesMLPDE
  ☆26Updated 11 months ago
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆38Updated 2 years ago
• googleinterns / invobs-data-assimilation
  ☆37Updated 4 years ago
• glwagner / dedaLES
  Large Eddy Simulation with dedalus
  ☆37Updated 6 years ago
• camlab-ethz / GenCFD
  Code for the paper "Generative AI for fast and accurate statistical computation of fluids"
  ☆33Updated 3 months ago
• sandialabs / quinn
  Quantification of Uncertainties in Neural Networks
  ☆11Updated 2 months ago
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆36Updated 2 years ago
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆31Updated 3 months 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…
  ☆20Updated 4 years ago
• louity / qgm_pytorch
  PyTorch implemetation of multi-layer quasi-geostrophic model on rectangular domain with solid boundaries.
  ☆11Updated 3 years ago
• pswpswpsw / paper-nif
  ☆38Updated last year
• liu-ziyuan-math / spectral_operator_learning
  Here you find the Spectral Operator Learning Under construcTION
  ☆20Updated last year
• b-fg / Flower1D.jl
  Flux reconstruction fluid flow solver for 1D PDEs written in Julia. Linear advection, Burgers, viscous Burgers, and Euler equations.
  ☆13Updated 3 years ago
• BaratiLab / ROMER
  Reduced-Order Modeling of Fluid Flows with Transformers
  ☆24Updated 2 years ago
• nw2190 / ConvPDE
  Convolutional Solvers for Partial Differential Equations
  ☆28Updated 4 years ago
• PredictiveScienceLab / variational-elliptic-SPDE
  ☆13Updated 5 years ago
• atzberg / gmls-nets
  PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…
  ☆26Updated last year
• Zhengyu-Huang / Operator-Learning
  ☆41Updated 2 years ago
• danielhalvorsen / Project_Turbulence_Modelling
  Repository for project codes related to turbulence modelling.
  ☆11Updated 8 months ago
• hippylib / hippyflow
  Dimension reduced surrogate construction for parametric PDE maps
  ☆37Updated 2 months ago
• ai2cm / fv3net
  explore the FV3 data for parameterization
  ☆17Updated 5 months ago
• jerabaul29 / guidelines_writing_papers
  my personal guidelines writing papers and managing the publication cycle - things that come up again and again
  ☆18Updated last month
• jeremygibbs / pyBurgers
  One-dimensional DNS and LES of Burgers turbulence written in Python
  ☆29Updated last year