zhairuizhi

zhairuizhi's Stars

• doyubkim/fluid-engine-dev

  Fluid simulation engine for computer graphics applications

  Language:C++1.9k69153269

• XPixelGroup/HAT

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

  Language:Python1.3k19154158

• bitzhangcy/Neural-PDE-Solver

  805232113

• jayroxis/PINNs

  PyTorch Implementation of Physics-informed Neural Networks

  Language:Jupyter Notebook55058133

• thu-zhanghl/CFD101

  💧CFD(计算流体力学)资料汇总、学习笔记，欢迎补充...

  420132110

• njulj/RFDN

  Residual Feature Distillation Network for Lightweight Image Super-Resolution

  Language:Python36272043

• visionxiang/awesome-camouflaged-object-detection

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

  29712132

• luissen/ESRT

  Language:Python16421943

• 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:Python1366822

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

  A list of papers relating Computational Physics and Machine Learning

  13216047

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

  A Lattice Boltzmann fluid flow simulation written in Tensorflow.

  Language:Python12212251

• lululxvi/hpinn

  hPINN: Physics-informed neural networks with hard constraints

  Language:Jupyter Notebook11651037

• Shengfeng233/PINN-for-NS-equation

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

  Language:Python110259

• XinyuanLiao/AttnPINN-for-RUL-Estimation

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

  Language:Python81518

• chen-yingfa/pinn-torch

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

  Language:Jupyter Notebook761113

• shengzesnail/PIV_dataset

  PIV dataset

  Language:MATLAB661523

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

  Language:Python573116

• 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 Notebook54306

• AbdulMoqeet/MAFFSRN

  Language:Python45857

• mario-linov/graphs4cfd

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

  Language:Python27306

• mariusmerkle/TL-PINNs

  Boosting the training of physics informed neural networks with transfer learning

  Language:Python26543

• BaratiLab/MeshDQN

  Using deep reinforcement learning for refining meshes in computational fluid dynamics

  Language:Python20347

• BaratiLab/ROMER

  Reduced-Order Modeling of Fluid Flows with Transformers

  Language:Python19302

• caio-davi/PSO-PINN

  Physics-Informed Neural Networks Trained with Particle Swarm Optimization

  Language:Python18547

• dc-luo/seepagePINN

  Physics informed neural network for learning seepage flow models

  Language:Python17407

• BaratiLab/PhysicsInformedTokenTransformer

  Official repository for Physics Informed Token Transformer (PITT)

  Language:Python15404

• 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:Python151310

• otvam/mesh_from_bitmap_matlab

  MATLAB Code for Creating a Mesh from a Bitmap Image

  Language:MATLAB15305

• 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:Python10112

• BaratiLab/SurrogateMeltPool_DL

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

  Language:Python8302