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1. Network-Data-Generation-Vanilla-GAN Network-Data-Generation-Vanilla-GAN Public

   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.

   Jupyter Notebook 9 1

2. efficientdet efficientdet Public

   Forked from signatrix/efficientdet

   (Pretrained weights provided) EfficientDet: Scalable and Efficient Object Detection implementation by Signatrix GmbH

   Python 1

3. anomaly-detection-resources anomaly-detection-resources Public

   Forked from yzhao062/anomaly-detection-resources

   Anomaly detection related books, papers, videos, and toolboxes

   Python

4. Intrusion-and-anomaly-detection-with-machine-learning Intrusion-and-anomaly-detection-with-machine-learning Public

   Forked from slrbl/Intrusion-and-anomaly-detection-with-machine-learning

   Machine learning algorithms applied on log analysis to detect intrusions and suspicious activities.

   Python

5. TadGAN TadGAN Public

   Forked from arunppsg/TadGAN

   Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"

   Python

6. VAE-LSTM-for-anomaly-detection VAE-LSTM-for-anomaly-detection Public

   Forked from lin-shuyu/VAE-LSTM-for-anomaly-detection

   We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.

   Jupyter Notebook