Pinned Repositories
2D-Navier-Stokes-Solver
As the field of Computational Fluid Dynamics (CFD) progresses, the fluid flows are more and more analysed by using simulations with the help of high speed computers. In order to solve and analyse these fluid flows we require intensive simulation involving mathematical equations which governs the fluid flow, these are Navier Stokes (NS) equation. Solving these equations has become a necessity as almost every problem which is related to fluid flow analysis call for solving of Navier Stokes equation. These NS equations are partial differential equations so different numerical methods are used to solve these equations. Solving these partial differential equations so different numerical methods requires large amount of computing power and huge amount of memory is in play. Only practical feasible way to solve these equation is write a parallel program to solve them, which can then be run on powerful hardware capable of parallel processing to get the desired results High speed supercomputer will provide us very good performance in terms of reduction in execution time. In paper focus will be on finite volume as a numerical method. We will also see what GPGPU (General-Purpose computing on Graphics Processing Units) is and how we are taking its advantages to solve CFD problems.
3DUnetCNN
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
AID1906
Tarena training course
algo
数据结构和算法必知必会的50个代码实现
awesome-latex-cv
Latex CV template built with Font Awesome.
awesome-public-datasets
A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛
BasicOpenFOAMProgrammingTutorials
Introduces basic C++ concepts to beginner users of the OpenFOAM open-source CFD libraries.
bayesgan
Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)
boreas
Random Forests for Film Cooling Package
brain-tokyo-workshop
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QiWang-SJTU's Repositories
QiWang-SJTU/BasicOpenFOAMProgrammingTutorials
Introduces basic C++ concepts to beginner users of the OpenFOAM open-source CFD libraries.
QiWang-SJTU/pointnet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
QiWang-SJTU/resume
An elegant \LaTeX\ résumé template
QiWang-SJTU/unet
unet for image segmentation
QiWang-SJTU/PINNs-TF2.0
TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
QiWang-SJTU/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
QiWang-SJTU/mtheme
A modern LaTeX Beamer theme
QiWang-SJTU/OSCCAR-doc
Documentation on our model development, currently only notes on the use of OpenFOAM
QiWang-SJTU/TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
QiWang-SJTU/brain-tokyo-workshop
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QiWang-SJTU/TensorFlow2.0-Examples
💥 Tensorflow2.x Examples from basic to hard
QiWang-SJTU/pointnet-autoencoder
Autoencoder for Point Clouds
QiWang-SJTU/tensorflow2-zh
TensorFlow2.0 官方教程翻译,基本概念讲解、实战项目、TensorFlow2.0编程技巧。
QiWang-SJTU/ToOptix
Overview of the ToOptix Module and Addons
QiWang-SJTU/numpy
The fundamental package for scientific computing with Python.
QiWang-SJTU/AID1906
Tarena training course
QiWang-SJTU/algo
数据结构和算法必知必会的50个代码实现
QiWang-SJTU/PlotNeuralNet
Latex code for making neural networks diagrams
QiWang-SJTU/GANs-collections-tf2.0_keras-eager_mode
This repository implements all kinds of GAN-models based on tensorflow2.0 keras API including GAN, CGAN, WGAN, WGAN_GP, VAE, CVAE, LSGAN, infoGAN, EBGAN, BEGAN, ACGAN
QiWang-SJTU/DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
QiWang-SJTU/Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (no tf_opt) and test on ModelNet, ShapeNet and S3DIS.
QiWang-SJTU/GAN-manifold-regularization
This is the code we used in our paper accepted at ICLR 2018
QiWang-SJTU/VNet3D
Prostate MR Image Segmentation 2012
QiWang-SJTU/3DUnetCNN
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
QiWang-SJTU/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
QiWang-SJTU/tensorflow2_tutorials_chinese
tensorflow2中文教程,持续更新(当前版本:tensorflow2.0),tag: tensorflow 2.0 tutorials
QiWang-SJTU/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
QiWang-SJTU/keras-docs-zh
Chinese (zh-cn) translation of the Keras documentation.
QiWang-SJTU/pointnet.pytorch
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
QiWang-SJTU/pix2pixHD-tensorflow2