renxiaosa00

renxiaosa00's Stars

• sthavishtha/list-lattice-Boltzmann-codes

  Curated list of some open source codes employing lattice Boltzmann methods

  17942

• amusi/CVPR2024-Papers-with-Code

  CVPR 2024 论文和开源项目合集

  17.7k2.6k

• MenghaoGuo/EANet

  External Attention Network

  Language:Python41253

• Shank2358/NPMMR-Det

  This is a PyTorch implementation of NPMMR-Det

  Language:Python483

• yerongke/Hyperspectral-data-processing

  Spectral data processing, including preprocessing, feature extraction, sample division, modeling, optimization algorithm.

  Language:MATLAB7710

• HuysmanWang/Deep-learning-aided-porous-media-hydrodynamic-analysis-and-three-dimensional-reconstruction

  The study of hydrodynamic behavior and water-rock interaction mechanisms is typically characterized by high computational efficiency requirements, to allow for the fast and accurate extraction of structural information. Therefore, we chose to use deep learning models to achieve these requirements. In this paper we started by comparing the image segmentation performance of a series of autoencoder architectures on complex geometries of porous media. The goal was to extract hydrodynamic connectivity channels and the mineral composition of rock samples on SEM (Scanning electron microscopy) data, obtained with a 0.97 accuracy. We then focused on improving the computational efficiency of LBM by using GPU acceleration, which allowed us to rapidly simulate structural flow field features of complex porous media. The results obtained showed that we were able to improve the computational efficiency by a factor of 21 in our device environment. We subsequently employed a SWD-Cycle-GAN technique to migrate sedimentation features to the initial 2D structure slices to reconstruct a 3D (three-dimensional) porous media geometry, that fits the depositional features more closely. Overall, we propose a new method for 3D structure reconstruction and permeability performance analysis of porous media, based on deep learning. The proposed method is fast, efficient and accurate.

  Language:Python38

• gibbonCode/GIBBON

  The Geometry and Image-Based Bioengineering add-On for MATLAB

  Language:MATLAB18760

• LabForComputationalVision/matlabPyrTools

  MatLab tools for multi-scale image processing, including Laplacian pyramids, Wavelets, and Steerable Pyramids

  Language:MATLAB17666

• ngageoint/MATLAB_SAR

  A basic MATLAB library to demonstrate reading, writing, display, and simple processing of complex SAR data using the NGA SICD standard.

  Language:MATLAB20890

• nattsr/SRBDRP_Toolbox

  Stanford Rock Physics & Borehole Geophysics (SRB) Digital Rock Physics (DRP) Toolbox. The codes include image creation, alteration, and computation of physical and geometrical properties.

  Language:Matlab2819

• MHDXing/MASR-for-Digital-Rock-Images

  Multi Attention Neural Network for Digital Rock CT Images Super-Resolution

  Language:Python2

• imBecky/CycleGAN_HSI

  CycleGAN for hyperspectral image classification in TensorFlow 2.*

  Language:Jupyter Notebook61