dlshu
PhD student in mechanical engineering Research area: machine learning
Carnegie Mellon University
Pinned Repositories
adversarial-attack-on-IDS
source code for the paper 'Generative Adversarial Attacks Against Intrusion Detection Systems Using Active Learning'
AtlasNet-for-meshing-JMD
This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.
contrastive-unpaired-translation
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
ddim
Denoising Diffusion Implicit Models
DECA
DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)
Diffusion-based-Fluid-Super-resolution
diffusion_for_cfd
DL-ROM
Deep Learning for Reduced Order Modelling
INTRUSION-DETECTION-BIG-DATA
KubesprayClusterOnCloudlab
Easily deploy kubespray cluster on Cloudlab
dlshu's Repositories
dlshu/portfolio
dlshu/Diffusion-based-Fluid-Super-resolution
dlshu/ddim
Denoising Diffusion Implicit Models
dlshu/AtlasNet-for-meshing-JMD
This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.
dlshu/SDEdit
PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations
dlshu/diffusion_for_cfd
dlshu/meshgraphnets
Rewrite deepmind/meshgraphnets into pytorch
dlshu/DECA
DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)
dlshu/contrastive-unpaired-translation
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
dlshu/DL-ROM
Deep Learning for Reduced Order Modelling
dlshu/KubesprayClusterOnCloudlab
Easily deploy kubespray cluster on Cloudlab
dlshu/Safeguarding-STEM
dlshu/RS-GAN-v1
dlshu/adversarial-attack-on-IDS
source code for the paper 'Generative Adversarial Attacks Against Intrusion Detection Systems Using Active Learning'
dlshu/Machine-Learning-Based-Botnet-Detection
Machine Learning Based Botnet Detection is a tool to classify network traffic as being botnet affected or not based on the network traffic flows. It involves various classifiers including Neural Networks, Decision Tree, SVM, Naive Bayes, Logistic Regression, k-Nearest Neighbours.
dlshu/INTRUSION-DETECTION-BIG-DATA
dlshu/wgan-gp
A pytorch implementation of Paper "Improved Training of Wasserstein GANs"
dlshu/pointcloudGAN-JMD
point set generative adversarial nets