zhangyimin234

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, ... 🧠

  Language:Python53.2k4441315.5k

• tamarott/SinGAN

  Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

  Language:Python3.3k64160610

• giotto-ai/giotto-tda

  A high-performance topological machine learning toolbox in Python

  Language:Python83614265173

• Ha0Tang/AttentionGAN

  AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

  Language:Python631123395

• scikit-tda/kepler-mapper

  Kepler Mapper: A flexible Python implementation of the Mapper algorithm.

  Language:Python62740124180

• loliverhennigh/Steady-State-Flow-With-Neural-Nets

  A Tensorflow re-implementation of the paper Convolutional Neural Networks for Steady Flow Approximation

  Language:Python15623571

• je-santos/MPLBM-UT

  Library for performing multiphase simulations (based on the Shan-Chen model) in complicated geometries (i.e. porous media 3D images)

  Language:Python147178656

• wangguanan/Pytorch-Basic-GANs

  Simple Pytorch implementations of most used Generative Adversarial Network (GAN) varieties.

  Language:Python10010021

• stke9/SliceGAN

  Language:Python9341139

• jinh0park/pytorch-ssim-3D

  pytorch structural similarity (SSIM) loss for 3D images

  Language:Python571012

• FranckLab/FIDVC

  Fast Iterative Digital Volume Correlation Algorithm

  Language:MATLAB30112818

• FranckLab/ALDVC

  Adaptive Lagrangian Digital Volume Correlation - volumetric displacement and strain measurement based on a hybrid local-global approach

  Language:MATLAB28407

• 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

  Language:Python24171212

• yingDaWang-UNSW/VelCNNs

  Language:Python11203

• jh-chung1/GNN_ElasticModulus_Prediction

  Application of Graph Neural Networks to predict material properties from their microstructures.

  Language:Jupyter Notebook10101

• yingDaWang-UNSW/Dual-EDSR

  Language:Python9204

• mo-kazemi/Physics-informed-NN

  A physics informed deep learning model for flow through porous media using data acquired from LBM simulations.

  Language:Python810

• ryanpmccaffrey/DVC

  Digital Volume Correlation MATLAB code

  Language:Matlab7422

• ImperialCollegeLondon/IPWGAN

  Language:Python61

• BinWang0213/PMV_Challenge2020

  Porous media visualization and data reuse challenge

  Language:Jupyter Notebook5101

• heitorvitorc/PorousMediaUNET

  Implementation of a Deep Autoencoder network to predict single-phase flow in porous media from simulation data generated by FEniCs library.

  Language:Jupyter Notebook4100

• hesseltuinhof/tempoGAN

  Implementation of tempoGAN (abs/1801.09710)

  Language:Python4311

• ImperialCollegeLondon/pnflowPy

  classical network flow simulation code written in python

  Language:Python3

• Oculins/CVAE-GAN

  Ageing synthesis on fundus or face images via Conditional VAE (CVAE) or CVAE-GAN model.

  Language:Python3

• vevvve/SASGAN

  Language:Python3

• AVafaie/Porosity-reconstruction-from-CT

  MATLAB code for digitized reconstruction of the rock porosity distribution from ‎Computed Tomography (CT) images

  Language:MATLAB2

• Hugsazp/3DRGAN

  Language:Python2

• JackonLiu/SinGAN-Easy

  SinGAN-Simplified-version

  Language:Python2200

• 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).

  1

• dko1217/DeepLearning-PorousMedia

  Language:Jupyter Notebook1