OvOCheryl

OvOCheryl's Stars

• Stillrainy/Sparse-AutoEncoder

  稀疏自编码器

  Language:MATLAB42

• ponedo/Network-intrusion-detection-system-based-on-heuristic-downsampling-and-random-forest

  WHU毕业设计，基于欠采样-随机森林的入侵检测模型。A simple WHU graduation project. Thank you Wuhan University.

  Language:TSQL4

• NUAA-YANG/CNN

  CNN网络入侵检测

  Language:Python214

• goforself/FL-IDS-KD

  将联邦学习以及知识蒸馏用于搭建网络入侵检测检测模型，在NSL-KDD数据集上进行了验证。

  Language:Python201

• Wanggag/IDS

  机器学习作业，机器学习和深度学习方法实现入侵检测

  Language:Python32

• KKKc3231/ML-DL_IDS

  机器学习/深度学习实现入侵检测项目

  Language:Python282

• cxmirene/KDDCUP99-Detection

  使用贝叶斯、神经网络、KNN进行入侵检测（KDD-CUP99）

  Language:HTML6914

• tmendonca28/DLNID

  The code for my MSc. in Applied Cyber Security research project titled "Machine Learning for Network Intrusion Detection". Explored the use of RNN and MLP for network intrusion detection and classification. Used PyTorch.

  Language:Jupyter Notebook6

• m4rk-lewis/cyber_threat_detection---stacked_sparse_autoencoder

  AWID Cyber threat detection using feature engineering (SSAE, PCA, UMAP, PHATE, SA, LLE, FA, LDA), Recursive Feature Elimination, Logistic Regression and Linear SVM classification (Bayesian optimisation)

  Language:Jupyter Notebook21

• dalinvip/cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

  In PyTorch Learing Neural Networks Likes CNN、BiLSTM

  Language:Python1.2k340

• MarkusThill/bioma-tcn-ae

  Minimal Working Example of a (baseline) Temporal Convolutional Autoencoder (TCN-AE) for Anomaly Detection in Time Series

  Language:Jupyter Notebook4213

• lyn1874/memAE

  unofficial implementation of paper Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder (MemAE) for Unsupervised Anomaly Detection

  Language:Python6924

• bogus215/Variational-Autoencoder-based-Anomaly-Detection

  안녕하세요, 본 공간은 Variational Autoencoder based Anomaly Detection using Reconstruction Probability 논문을 Pytorch로 구현한 코드를 공유하기 위해 설립된 공간입니다.

  Language:Python72

• siddharth-agrawal/Sparse-Autoencoder

  Language:Python8851