MGP-AttTCN: An Interpretable Machine Learning Model for the Prediction of Sepsis

Attention mechanism for processing sequential data that considers the context for each timestamp.

Network Intrusion Detection using SAE/DAE autoencoder and CNN

A Linux Host-based Intrusion Detection System based on eBPF.

Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".

This repository contains the code for the paper "A flow-based IDS using Machine Learning in eBPF", Contact: Maximilian Bachl

Code release for "Time Series Anomaly Detection by Cumulative Radon Features"

Parking Management System

code for the paper https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9467267

short-term load forecasting with deep residual networks

Machine learning approach of automatic identification and counting of blood cells (RBC, WBC, and Platelet) with KNN and IOU based verification.

Using Wasserstein Generative Adversarial Network to fool intrusion detection systems (IDS) into believing that malicious traffic is normal traffic.

Convolutional Transformer Architectures Complementary to Time Series Forecasting Transformer Models

Multi-scale version of ROCKET: a random convolutional kernel machine learning method

Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS

Keras Attention Layer (Luong and Bahdanau scores).

Repository for the analysis of Vilnius weather using tensorflow

Predicting the Number of Reported Bugs in a Software Repository

Deep Reinforcement Learning

CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning

李宏毅2021/2022/2023春季机器学习课程课件及作业

Official implementation of PVT series