Stars
Non-official implement of Paper：CBAM: Convolutional Block Attention Module
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
Official PyTorch implementation for paper: Diffusion-GAN: Training GANs with Diffusion
Official implmentation of AAAI'23 paper 'Detecting Multivariate Time Series Anomalies with Zero Known Label'.
Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)
Unsupervised time series anomaly detection library
Offical implementation of "Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series" (ICLR 2022)
Toolkit for processing PCAP file and transform into image of MNIST dataset
Deep Learning models for network traffic classification
GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, datasets 2a. Final project for UCLA's EE C247: Neural Networks…
Team Jonas contribution to ERP Prediction Contest, February 15, 2019 - May 15, 2019
VAE, GAN, WGAN, WGAN-GP on two synthetic Gaussian datasets.
For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.
设计并实现一个基于UI自动化、接口自动化、PO模式、数据驱动、关键字驱动、持续集成与持续发布、图像识别等技术的自动化测试框架。本框架选用 Selenium+Requests+pytest框架作为控制层进行逻辑验证，YAML作为持久层进行测试数据的存储，利用Logging 埋点记录日志，基于 Git+Jenkins 实现持续集成，之后在显示层通过钉钉机器人将漂亮的Allure测试报告持续交付至…
Cyberattack Detection for network traffic using Neural networks. Implemented gradient descent-based method to generate adversarial samples against supervised learning models.
Adversarial machine learning for network traffic classification of Browser, Operation-System and Application
Using Wasserstein Generative Adversarial Network to fool intrusion detection systems (IDS) into believing that malicious traffic is normal traffic.
PyTorch implementations of Generative Adversarial Networks.
[CIKM 2023] This is the official source code of "TrendGCN: Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting" based on Pytorch.
Bike sharing systems are new generation of traditional bike rentals where whole process from membership, rental and return back has become automatic. Through these systems, user is able to easily r…
This is the repository of the accepted paper SyNIG: Synthetic Network Traffic Generation through Time Series Imaging in LCN 2023.
[AAAI 2022] RareGAN: Generating Samples for Rare Classes