zhangyimin234's Stars
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
tamarott/SinGAN
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
giotto-ai/giotto-tda
A high-performance topological machine learning toolbox in Python
Ha0Tang/AttentionGAN
AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation
scikit-tda/kepler-mapper
Kepler Mapper: A flexible Python implementation of the Mapper algorithm.
loliverhennigh/Steady-State-Flow-With-Neural-Nets
A Tensorflow re-implementation of the paper Convolutional Neural Networks for Steady Flow Approximation
je-santos/MPLBM-UT
Library for performing multiphase simulations (based on the Shan-Chen model) in complicated geometries (i.e. porous media 3D images)
wangguanan/Pytorch-Basic-GANs
Simple Pytorch implementations of most used Generative Adversarial Network (GAN) varieties.
stke9/SliceGAN
jinh0park/pytorch-ssim-3D
pytorch structural similarity (SSIM) loss for 3D images
FranckLab/FIDVC
Fast Iterative Digital Volume Correlation Algorithm
FranckLab/ALDVC
Adaptive Lagrangian Digital Volume Correlation - volumetric displacement and strain measurement based on a hybrid local-global approach
ElsevierSoftwareX/SOFTX-D-17-00061
TomoWarp2: a local Digital Volume Correlation code. To cite this software publication: http://www.sciencedirect.com/science/article/pii/S2352711017300511
yingDaWang-UNSW/VelCNNs
jh-chung1/GNN_ElasticModulus_Prediction
Application of Graph Neural Networks to predict material properties from their microstructures.
yingDaWang-UNSW/Dual-EDSR
mo-kazemi/Physics-informed-NN
A physics informed deep learning model for flow through porous media using data acquired from LBM simulations.
ryanpmccaffrey/DVC
Digital Volume Correlation MATLAB code
ImperialCollegeLondon/IPWGAN
BinWang0213/PMV_Challenge2020
Porous media visualization and data reuse challenge
heitorvitorc/PorousMediaUNET
Implementation of a Deep Autoencoder network to predict single-phase flow in porous media from simulation data generated by FEniCs library.
hesseltuinhof/tempoGAN
Implementation of tempoGAN (abs/1801.09710)
ImperialCollegeLondon/pnflowPy
classical network flow simulation code written in python
Oculins/CVAE-GAN
Ageing synthesis on fundus or face images via Conditional VAE (CVAE) or CVAE-GAN model.
vevvve/SASGAN
AVafaie/Porosity-reconstruction-from-CT
MATLAB code for digitized reconstruction of the rock porosity distribution from Computed Tomography (CT) images
Hugsazp/3DRGAN
JackonLiu/SinGAN-Easy
SinGAN-Simplified-version
AUT-TPM/PoreSeg
PoreSeg is segmentation framework that leverages the convolutional layers and ensemble learning for automatic segmentation of X-ray images. It can be implemented in two approaches: (I) unsupervised-based (UB) and and (II) interactive-based (IB).
dko1217/DeepLearning-PorousMedia