dlshu

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/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