Alternatives and similar repositories for Sapsan:

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

• pmocz / constrainedtransport-python
  Finite Volume Constrained Transport MHD simulation of the Orszag-Tang vortex
  ☆17Updated last year
• atzberg / gmls-nets
  PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…
  ☆26Updated last year
• henrywatkins / gawain
  A simple numerical MHD simulation code in python.
  ☆13Updated last week
• Romit-Maulik / Practice
  Random snippets of code I've developed over the years (generally when bored)
  ☆12Updated last year
• Romit-Maulik / PAR-RL
  Scaling RLLib for generic simulation environments on Theta
  ☆20Updated 2 years ago
• rocketmlhq / sciml
  Scientific Machine Learning Tutorials
  ☆36Updated 3 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
• googleinterns / invobs-data-assimilation
  ☆34Updated 3 years ago
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆35Updated 2 years ago
• Romit-Maulik / PyParSVD
  An implementation of the 1. Parallel, 2. Streaming, 3. Randomized SVD using MPI4Py
  ☆58Updated 3 years ago
• caidao22 / pnode
  A Python library for training neural ODEs.
  ☆20Updated last month
• 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
• HexFluid / TurbAna
  A Python toolkit to calculate and visualize turbulence anisotropy and turbulent viscosity from Reynolds stress tensor data.
  ☆20Updated last year
• b-fg / SANSpy
  Spanwise-averaged Navier–Stokes modelling through convolutional neural network
  ☆14Updated 9 months ago
• envfluids / py2d
  Python 2D Navier-Stokes solver
  ☆15Updated last month
• weymouth / DataDrivenGMG.jl
  Data-driven Geometric Multi-Grid solver for the discrete Poisson equation
  ☆39Updated 2 years ago
• predsci / POT3D
  POT3D: High Performance Potential Field Solver
  ☆45Updated 2 months ago
• cvanderwel / TurbulentFlows
  Data and Code supporting the eBook by Castro and Vanderwel (2021)
  ☆20Updated 3 years ago
• the-rccg / hw2d
  Reference implementation for the Hasegawa-Wakatani model of plasma turbulence inside nuclear fusion reactors in two dimensions
  ☆23Updated 6 months ago
• tum-pbs / dl-surrogates
  ☆31Updated 2 years ago
• Romit-Maulik / ML_2D_Turbulence
  LES-ML closures for Kraichnan turbulence
  ☆18Updated 5 years ago
• glwagner / dedaLES
  Large Eddy Simulation with dedalus
  ☆36Updated 5 years ago
• comp-physics / roseNNa
  Fast, minimally-invasive neural network inference library
  ☆19Updated last month
• nw2190 / ConvPDE
  Convolutional Solvers for Partial Differential Equations
  ☆28Updated 4 years ago
• tum-pbs / unrolling
  ☆16Updated 2 months ago
• maziarraissi / DeepTurbulence
  Deep Learning of Turbulent Scalar Mixing
  ☆17Updated 5 years ago
• navidcy / Instabilities-in-Fluids
  This repository contains material for the class "Instabilities in Fluids" taught in 2018 at the Australian National University.
  ☆21Updated 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
• tomoleary / dino
  Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
  ☆17Updated last year