zhairuizhi

zhairuizhi's Stars

• thu-zhanghl/CFD101

  💧CFD(计算流体力学)资料汇总、学习笔记，欢迎补充...

  378103

• mario-linov/graphs4cfd

  Graph Neural Networks (GNN) based solvers for Computational Fluid Dynamics (CFD)

  Language:Python246

• bitzhangcy/Neural-PDE-Solver

  695101

• visionxiang/awesome-camouflaged-object-detection

  A curated list of awesome resources for camouflaged/concealed object detection (COD).

  25829

• tum-pbs/Diffusion-based-Flow-Prediction

  Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models"

  Language:Jupyter Notebook394

• otvam/mesh_from_bitmap_matlab

  MATLAB Code for Creating a Mesh from a Bitmap Image

  Language:MATLAB135

• shengzesnail/PIV_dataset

  PIV dataset

  Language:MATLAB6023

• XPixelGroup/HAT

  CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer Arxiv - HAT: Hybrid Attention Transformer for Image Restoration

  Language:Python1.2k140

• njulj/RFDN

  Residual Feature Distillation Network for Lightweight Image Super-Resolution

  Language:Python35543

• AbdulMoqeet/MAFFSRN

  Language:Python447

• luissen/ESRT

  Language:Python16141

• XinyuanLiao/AttnPINN-for-RUL-Estimation

  A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks

  Language:Python698

• mariusmerkle/TL-PINNs

  Boosting the training of physics informed neural networks with transfer learning

  Language:Python243

• KTH-FlowAI/Physics-informed-neural-networks-for-solving-Reynolds-averaged-Navier-Stokes-equations

  Language:Python4815

• dc-luo/seepagePINN

  Physics informed neural network for learning seepage flow models

  Language:Python157

• chen-yingfa/pinn-torch

  PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations

  Language:Jupyter Notebook7010

• Shengfeng233/PINN-for-NS-equation

  A pytorch implementaion of physics informed neural networks for two dimensional NS equation

  Language:Python949

• caio-davi/PSO-PINN

  Physics-Informed Neural Networks Trained with Particle Swarm Optimization

  Language:Python157

• lululxvi/hpinn

  hPINN: Physics-informed neural networks with hard constraints

  Language:Jupyter Notebook10935

• zhouzhouwen/An-improved-PINNs-with-the-adaptive-weight-sampling-and-DE-algorithm

  An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based adaptive sampling, which automatically samples points in areas with larger residuals; adaptive loss weights, which balance the loss terms effectively; and the utilization of the DE optimization algorithm

  Language:Python82

• jayroxis/PINNs

  PyTorch Implementation of Physics-informed Neural Networks

  Language:Jupyter Notebook477128

• kazutotess/ML-ROM_Various_Shapes

  This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies of various shapes"

  Language:Python1510

• doyubkim/fluid-engine-dev

  Fluid simulation engine for computer graphics applications

  Language:C++1.9k261

• loliverhennigh/Lattice-Boltzmann-fluid-flow-in-Tensorflow

  A Lattice Boltzmann fluid flow simulation written in Tensorflow.

  Language:Python12151

• loliverhennigh/Computational-Physics-and-Machine-Learning-Reading-List

  A list of papers relating Computational Physics and Machine Learning

  13047

• BaratiLab/PhysicsInformedTokenTransformer

  Official repository for Physics Informed Token Transformer (PITT)

  Language:Python133

• BaratiLab/ROMER

  Reduced-Order Modeling of Fluid Flows with Transformers

  Language:Python191

• BaratiLab/Diffusion-based-Fluid-Super-resolution

  PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction".

  Language:Python11722

• BaratiLab/SurrogateMeltPool_DL

  Source code for Surrogate Modeling of Melt Pool Temperature Field using Deep Learning

  Language:Python82

• BaratiLab/MeshDQN

  Using deep reinforcement learning for refining meshes in computational fluid dynamics

  Language:Python175