dongyou123's Stars
miloyip/json-tutorial
从零开始的 JSON 库教程
Alinshans/MyTinySTL
Achieve a tiny STL in C++11
JakubVojvoda/design-patterns-cpp
C++ Design Patterns
Light-City/CPlusPlusThings
C++那些事
tsinghua-fib-lab/NetworkTrafficGeneration
TencentARC/T2I-Adapter
T2I-Adapter
azad-academy/denoising-diffusion-model
A simple guide to diffusion models. Helpful in understanding the concept and practicing with the method.
StarLight1212/Generative-models
This project aim to share the knowledge and code concerning generative models.
openai/InfoGAN
Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"
cdoersch/vae_tutorial
Caffe code to accompany my Tutorial on Variational Autoencoders
kobiso/CBAM-keras
CBAM implementation on Keras
donalee/BUIR
Bootstrapping User and Item Representations for One-Class Collaborative Filtering
Gci04/GANs_for_Network_Intrusion_Data
Generative adversarial networks for Network Intrusion Benchmark datasets
mm32-star/Network-Data-Generation-Vanilla-GAN
A generative deep learning model based on GAN architecture was implemented to generate synthetic network data (benign and malicious) alike that within the CIC-IDS-2017 dataset.
HaqueNurImtiazul/GAN_Assisted_IDS
LIUxDD/IDS_GAN
ColdAsYou165/dataset_UNSWNB15
The dataset that has been processed and the code used to process it
oshoyemi/project
unsw_NB15 dataset
jackm-g/nettraffic-ml-notes
Notes for technologies useful in applying ml to the unsw-nb15 dataset (Draft)
tylerhoward15/sklearn-MLP-UNSW-NB15
MLP using sklearn on UNSW_NB15 dataset
tylerhoward15/tensorFlow-MLP-UNSW-NB15
MLP using tensorflow and keras on the UNSW_NB15 dataset
tylerhoward15/sklearn-j48-UNSW-NB15
j48 algorithm using sklearn on the UNSW-NB15 dataset
Hashehri/Network-Traffic-Classification-UNSW-NB15
Binary Classification for detecting intrusion network attacks. In order, to emphasize how a network packet with certain features may have the potentials to become a serious threat to the network.
AnushManglani/Anomaly-based-Intrusion-Detection-System
Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.
greatrxt/unsw-nb15_nid_nac
Network Intrusion Detection and Attack Classification
SubrataMaji/IDS-UNSW-NB15
Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm
jayxsinha/Efficient-CNN-BiLSTM-for-Network-IDS
Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS
cloudera/CML_AMP_Anomaly_Detection
Apply modern, deep learning techniques for anomaly detection to identify network intrusions.
Mamcose/NSL-KDD-Network-Intrusion-Detection
Machine Learning Algorithms on NSL-KDD dataset
r7sy/IntrusionDetection
This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the study will be available shortly.