OvOCheryl's Stars
Stillrainy/Sparse-AutoEncoder
稀疏自编码器
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.
NUAA-YANG/CNN
CNN网络入侵检测
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。
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
KKKc3231/ML-DL_IDS
机器学习/深度学习实现入侵检测项目
cxmirene/KDDCUP99-Detection
使用贝叶斯、神经网络、KNN进行入侵检测(KDD-CUP99)
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.
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)
dalinvip/cnn-lstm-bilstm-deepcnn-clstm-in-pytorch
In PyTorch Learing Neural Networks Likes CNN、BiLSTM
MarkusThill/bioma-tcn-ae
Minimal Working Example of a (baseline) Temporal Convolutional Autoencoder (TCN-AE) for Anomaly Detection in Time Series
lyn1874/memAE
unofficial implementation of paper Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder (MemAE) for Unsupervised Anomaly Detection
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.
siddharth-agrawal/Sparse-Autoencoder