Starred repositories
Binary and Categorical Focal loss implementation in Keras.
Visualizer for neural network, deep learning and machine learning models
cnn+rnn: vgg(vgg16,vgg19)+rnn(LSTM, GRU), resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU), inception_v4+rnn(LSTM, GRU), inception_resnet_v2+rnn(LSTM, GRU),.....
Keras Temporal Convolutional Network.
Keras Attention Layer (Luong and Bahdanau scores).
netBank(网上银行系统),该系统包含普通用户和管理员两个角色,管理员:管理普通用户(添加、删除、冻结和启用)、查看交易记录、修改密码、注销;普通用户:存钱、取钱、转账、修改密码、注销。
A Recurrent Neural Networks implementation using Keras for network intrusion detection
Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution
Intrusion Detection System using Machine Learning and Deep Learning
Machine Learning Algorithms on NSL-KDD dataset
Network intrusions classification using algorithms such as Support Vector Machine (SVM), Decision Tree, Naive Baye, K-Nearest Neighbor (KNN), Logistic Regression and Random Forest.
This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security".
Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS
Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection
A Collection of Variational Autoencoders (VAE) in PyTorch.
Network Security Analysis using Machine Learning on the NSL-KDD dataset from the KDD Cup 1999
Anomaly detection related books, papers, videos, and toolboxes
Using DNN for univariate time series anomaly detection over AIOps Competition dataset
A curated list of awesome anomaly detection resources
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
PyTorch implementation of some single image dehazing networks.
The most cited deep learning papers