xgxg1314

xgxg1314's Stars

• pytorch/captum

  Model interpretability and understanding for PyTorch

  Language:Python5k280553506

• barbagroup/CFDPython

  A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

  Language:Jupyter Notebook3.5k266511.2k

• hplgit/fenics-tutorial

  Source files and published documents for the FEniCS tutorial.

  Language:TeX3594554303

• Xiangyu-Hu/SPHinXsys

  SPHinXsys provides C++ APIs for engineering simulation and optimization. It aims at complex systems driven by fluid, structure, multi-body dynamics and beyond. The multi-physics library is based on a unique and unified computational framework by which strong coupling has been achieved for all involved physics.

  Language:C++3448194243

• Nek5000/nekRS

  our next generation fast and scalable CFD code

  Language:C++2942322978

• hplgit/fdm-book

  Resources for "The Craft of Finite Difference Computing with Partial Differential Equations" by H. P. Langtangen

  Language:Python166122100

• hplgit/fem-book

  Language:Dockerfile11117951

• takah29/2d-fluid-simulator

  2D incompressible fluid solver implemented in Taichi.

  Language:Python1090319

• thw1021/Cylinder2DFlowControlGeneral

  Robust active flow control over a range of Reynolds numbers using artificial neural network trained through deep reinforcement learning

  Language:Python3251014

• yunbattle1994/PINN-incompressive-laminar-cylinder

  Language:Python31108

• neuraloperator/markov_neural_operator

  Language:Jupyter Notebook27228

• pmocz/finitevolume2-python

  Create Your Own Finite Volume Fluid Simulation (With Python) Part 2: Boundary Conditions and Source Terms

  Language:Python27225

• smeznar/HVAE

  An approach for embedding hierarhical structures into a continuous vector space using variational autoencoders.

  Language:Python21204

• AdrianDario10/Navier_Stokes_cylinder2D

  Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation

  Language:Python19101

• AILWQ/DySymNet

  [ICML 2024] Official Pytorch implementation of the paper "A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data"

  Language:Python14201

• janoPig/HROCH

  Extremly fast c++/python symbolic regression library based on parallel local search.

  Language:Python142140

• danieldugas/Lattice-Boltzmann-Simulation

  2D Simulation of flow through a channel, past a moving cylinder, using the Lattice Boltzmann CFD method.

  Language:Matlab11224

• Institute-Eng-and-Comp-Mechanics-UStgt/ApHIN

  A data-driven framework for the identification of latent port-Hamiltonian systems

  Language:Python11002

• DOUYEHAO/PINN-combined-with-LSTM

  Flow field reconstruction and prediction of the 2D cylinder flow using data-driven physics-informed neural network combined with Long Short-Term Memory

  Language:MATLAB9

• aleks-krasowski/PINNfluence

  Language:Python720

• cvjena/TensorDecompositions4PINNs

  Code accompanying manuscript "Functional Tensor Decompositions for Physics-Informed Neural Networks"

  Language:Jupyter Notebook410

• smkondo/oscillatingcylinder

  DMD of the flow behind an transversely oscillating cylinder Re=100

  Language:MATLAB4

• chunyang-w/cylinderFlow

  🌀 OpenFOAM v11 simulation code: flow passing a 2D cylinder

  Language:C++3110

• kevopoulosk/Parametric-kernel-based-DMD-using-deep-learning

  Language:Python310

• NathanDoumeche/numerical_PIML_kernel

  Numerical approximation of physics-informed machine learning kernels

  Language:Jupyter Notebook3

• ao-ying/BsPINN

  Binary structured physics-informed neural networks for solving equations with rapidly changing solutions

  Language:Python2

• cvjena/GradStats4PINNs

  This repository contains code accompanying the paper "Gradient statistics based multi-objective optimization in Physics Informed Neural Networks"

  Language:Jupyter Notebook2210

• jzhange/AAF-for-PDE-Inversion

  Physics-informed neural networks with novel adaptive activation function for inversion of partial differential equations

  1

• Orikson/Physics-Informed-Split-Koopman-Operators

  Repository for ICRA 2025 submission titled "Physics-informed Split Koopman Operators for Data-efficient Soft Robotic Simulation"

  Language:Jupyter Notebook1100

• Pongpisit-Thanasutives/kuramoto-sivashinsky-solver

  It's a kuramoto-sivashinsky neural network solver

  Language:Python110